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The 2022 report of the Lancet Countdown on health and climate change: health at the mercy of fossil fuels

Marina Romanello, Claudia Di Napoli, Paul Drummond and 96 more

The Lancet · 2022 · Review

doi:10.1016/s0140-6736(22)01540-9

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 16, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Because of human activity, the global mean surface temperature is 1·1°C higher than the pre-industrial average, and the past seven years were the warmest on record. Climate change is increasing the frequency and intensity of many extreme weather and weather-related events, resulting in severe damage to the natural and social systems on which health depends. The environmental changes caused by climate change are also driving shifts in the geographic range of climate-sensitive infectious diseases, affecting food and water security, worsening air quality, and damaging socioeconomic systems. While the world coped with the ongoing COVID-19 pandemic, weather events of unprecedented intensity took place in 2021 and 2022: record temperatures of nearly 50°C in British Columbia claimed 570 lives, floods in Australia, Canada, China, Malaysia, Pakistan, South Sudan, and western Europe led to thousands of deaths, hundreds of thousands of people displaced from their homes, and billions of US dollars in losses,, and wildfires caused devastation in the USA, Greece, Algeria, and Türkiye. Yet energy-related greenhouse gas emissions rebounded to a historical record in 2021, and atmospheric CO2 reached its highest concentration in more than 2 million years.

Existing policies put the world on track to reaching 2·4–3·5°C above pre-industrial times by 2100, and there is a 48% chance that the 1·5°C threshold proposed in the Paris Agreement will be exceeded within 5 years.– COVID-19 recovery efforts have thus far been unable to deliver the transformation that the health community and others called for, and ongoing geopolitical conflicts make the 1·5°C threshold less likely to be met. The findings in this report show the urgency of climate action and can inform an aligned response to compounding crises, to protect the health of present and future generations (panel 1).

Taking stock of progress on health and climate change

The Lancet Countdown: tracking progress on health and climate change is an international, transdisciplinary collaboration of 51 academic institutions and UN agencies, monitoring the changing health profile of climate change.

The 43 indicators (panel 2) have been refined continuously for seven years, and reflect the consensus of 99 multidisciplinary researchers, the guidance of the Lancet Countdown’s Scientific Advisory Group and High-Level Advisory Board, and the support of The Lancet and the Wellcome Trust. Most indicators have been refined this year to improve the monitoring of associations between climate change and health. New and re-introduced metrics monitor the impact of extreme temperature on food insecurity; exposure to wildfire smoke; household air pollution; the alignment of the fossil fuel industry with a healthy future; and health considerations in each country’s Nationally Determined Contributions (NDCs). All new or substantially modified indicators were assessed by an independent expert panel for appropriateness and robustness,, and some existing indicators were independently assessed to ensure continued relevance and rigour.

This report, more concise than previous iterations, is supplemented by an online data visualisation platform that can be used to see indicators in full detail and geographical resolution. Reports from the Lancet Countdown regional centres in Asia (Tsinghua University, China), Europe (Barcelona Supercomputing Center, Spain), South America (Universidad Peruana Cayetano Heredia, Peru), and Australia (Macquarie University and The University of Sydney) offer more detailed regional assessments than this report. Newly established centres are working to explore in further depth the association between health and climate change in Small Island Developing States (University of the West Indies, Jamaica) and Africa (Medical Research Council Unit, The Gambia). With these expanding local networks, the Lancet Countdown now brings together more than 250 researchers from almost 100 institutions worldwide.

As countries attempt to meet Paris Agreement commitments, Lancet Countdown indicators are contributing to national and international climate and health monitoring systems, and have been incorporated into the European Climate and Health Observatory and the climate and health assessment of the Italian National Institute of Health (Istituto Superiore di Sanità). In 2023, the UNFCCC will run the first Global Stocktake, an assessment of collective progress towards meeting Paris Agreement goals, designed to help countries adjust efforts to meet climate targets. Taking stock of the health impacts of climate action, this report can help countries realise the ambition of making the Paris Agreement the “most important public health agreement of the century”.

Section 1: health hazards, exposures, and impacts

Climate change is affecting the health of people worldwide directly with increased exposure to extreme weather, and indirectly with impacts on the physical, natural, and social systems on which health depends. Climatic changes are also amplifying the existing threats to food and water security, built infrastructure, essential services, and livelihoods.

Section 1 tracks the health hazards, exposures, and impacts of climate change, with indicators that monitor vulnerabilities now detailed in section 2. Indicators have been improved and expanded to provide a comprehensive overview of the effects of climate change on health and the effects of climatic and demographic changes on health-related outcomes. Three new sub-indicators track the influence of wildfires on exposure to PM2·5 air pollution (indicator 1.2.1), the associations between heat and extreme precipitation with online sentiment expressions (indicator 1.2.3), and the increasing impact of extreme heat on global food security (indicator 1.4.1).

Indicator 1.1: health and heat

Climate change is leading to an increase in average global temperatures and in the frequency, intensity, and duration of heatwaves. Exposure to extreme heat is associated with acute kidney injury, heatstroke, adverse pregnancy outcomes,, worsened sleep patterns, impacts on mental health, worsening of underlying cardiovascular and respiratory disease, and increases in non-accidental and injury-related deaths. Exposure to extreme heat also affects health indirectly by restricting people’s capacity to work and exercise.– Older people, pregnant women, newborn babies, people who are socially deprived, and people working outdoors are particularly at risk.,

Indicator 1.1.1: exposure to warming—headline finding: from 2000 to 2021, populations were exposed to an average increase in summer temperature two times higher than the global mean

Inhabited land areas warm up faster than oceans. By overlapping gridded temperature and population data, this indicator shows that the average temperatures humans were exposed to during summer seasons in 2021 were 0·6°C higher than the average in 1986–2005, representing twice the global mean temperature increase in the same period (0·3°C).

Indicator 1.1.2: exposure of vulnerable populations to heatwaves—headline finding: in 2012–2021, children younger than 1 year experienced 600 million more person-days of heatwaves, and adults older than 65 years experienced 3·1 billion more than in 1986–2005

Between 2021 and 2022, record temperatures were registered in Oman, the Middle East, Australia, many Mediterranean countries, and Canada. This indicator overlaps daily temperature and demographic data to track the exposure of vulnerable age groups to heatwaves (a period of 2 or more days in which both the minimum and maximum temperatures are higher than the 95th percentile of temperatures in 1986–2005, as defined previously in the literature)., During the period 2012–21, children younger than 1 year experienced 600 million more person-days of heatwaves (4·4 more days per child) annually compared with the average in 1986–2005, and adults older than 65 years experienced 3·1 billion more days (3·2 more days per person; figure 1). In 2021, people older than 65 years in Canada experienced a record of 47 million more person-days of heatwaves (2·4 million in children under 1 year) than annually in 1986–2005, mainly due to an unprecedented heatwave that was at least 150 times more likely to have occurred because of climate change (panel 3).

Indicator 1.1.3: heat and physical activity—headline finding: over the past 10 years, high heat posed at least a moderate heat stress risk during light outdoor physical activity, for an average additional 281 hours on per person per year, compared with 1991–2000

Regular physical activity contributes to a healthy body-weight, improves physical and mental health,– and helps to prevent many non-communicable diseases. However, hot weather reduces the likelihood of engaging in exercise, and increases the risk of heat illness when it is done.– This indicator has been improved to track the daily hours during which physical activity would entail heat stress risk. Compared with the baseline average in 1991–2000, the number of annual hours of moderate-risk of heat stress during light outdoor physical activity increased globally in 2012–21 by an average of 281 (33% increase) hours per person and high-risk heat stress increased by 238 (42%) hours per person. The greatest rise occurred in medium HDI countries, with an increase in the hours of moderate risk of heat stress during light outdoor physical activity of 310 (20%) hours per person and an increase of high-risk of 296 (26%) hours per person, annually.

Indicator 1.1.4: change in labour capacity—headline finding: in 2021, heat exposure led to the loss of 470 billion potential labour hours, a 37% increase from the period 1990–99. 87% of the losses in low HDI countries were in the agricultural sector

Heat exposure affects labour productivity and puts the health of exposed workers at risk. The resulting labour loss undermines livelihoods and the socioeconomic determinants of health. This indicator monitors the potential work hours lost because of heat exposure and solar radiation, in an improvement from previous reports, by associating wet bulb globe temperature with the typical metabolic rate of workers in specific economic sectors. Since 1999, the potential hours lost increased by 5·6 billion hours per year (figure 2). In 2021, 470 billion hours were lost—an increase of 37% from the annual average in 1990–99, and an average of 139 hours lost per person. Two thirds of all labour hours lost globally in 2021 were in the agricultural sector. This proportion was highest in low HDI countries, at 87%.

Indicator 1.1.5: heat-related mortality—headline finding: heat-related mortality for people older than 65 years increased by approximately 68% between 2000–04 and 2017–21

A study of 43 countries published in May, 2021, estimated that 37% of heat-related deaths are attributable to human-induced climate change. However, insufficient data sharing and reporting restrict the capacity to produce accurate estimates globally, to assess adaptation measures, and to identify vulnerable populations., Using a generalised exposure–response function to provide an estimate of heat-related deaths globally, this indicator finds that annual heat-related mortality of people older than 65 years increased by an estimated 68% between 2000–04 and 2017–21.

Indicator 1.2: health and extreme weather events

Detection and attribution studies show the increasing influence of anthropogenic climate change on weather extremes (panel 3). Resulting direct injuries and death are often compounded with impacts on sanitation and service provision, forced displacement, loss of assets and infrastructure, economic losses, and adverse mental health outcomes, often having long-lasting effects.– This group of indicators, complemented by indicators 2.3.2 and 4.1.1, details the association between climate change, extreme weather events, and health.

Indicator 1.2.1: wildfires—headline finding: human exposure to days of very-high or extremely-high fire danger increased in 61% of countries from 2001–04 to 2018–21

Wildfires affect health with thermal injuries, exposure to wildfire smoke, loss of physical infrastructure, and impacts on mental health and wellbeing.– Drier and hotter conditions increasingly favour the occurrence, intensity, and spread of wildfires, and undermine control efforts. This indicator uses remote sensing to track exposure to days of high meteorological wildfire danger and wildfire exposure, with improved consideration of cloud cover in the detection of wildfire spots in this year’s report. New to this report, the indicator incorporates atmospheric modelling (IS4FIRES-SILAM model) to track exposure to wildfire smoke (PM2·5).,

Globally, people experienced an average of nine more days of very-high or extremely-high meteorological wildfire danger in 2018–21 compared with 2001–04, with 110 (61%) of 181 countries having an increase (figure 3)—a pattern caused by climate variation rather than demographic shifts. The yearly average wildfire exposure increased by 9·17 million person-days between 2003–06 and 2018–21. Increases were observed in 21 (64%) of 33 low HDI countries compared with 27 (42%) of 65 very high HDI countries, which could reflect differences in wildfire prevention and management.

Population exposure to wildfire-derived PM2·5 was modelled with the SILAM chemistry transport model. Data show a statistically significant increase in 16·5% of the global land surface from 2003 to 2021, and a significant decrease in 8·8% of the surface land area.

Indicator 1.2.2: drought—headline finding: on average, 29% more global land area was affected by extreme drought for at least one month in a year in 2012–21 than in 1951–60

Droughts put food and water security at risk, threaten sanitation, affect livelihoods, and increase the risk of wildfires and infectious disease transmission., This indicator uses the 6-monthly Standard Precipitation and Evapotranspiration Index (SPEI6) to capture changes in extreme drought (SPEI ≤–1·6) due to changes in precipitation and temperature-driven evapotranspiration. In the period 2012–21, on average, almost 47% of global land area was affected by at least 1 month of extreme drought each year, an increase of 29% from the period 1951–60. The Middle East and north Africa, where 41 million people lack access to safe water and 66 million do not have basic sanitation services, was particularly affected, with some areas experiencing more than 10 extra months of extreme drought.

Indicator 1.2.3: extreme weather and sentiment—headline finding: heatwaves during 2021 were associated with a statistically significant decrease of 0·20 percentage points in the number of tweets expressing positive sentiment, whereas extreme precipitation days were associated with a statistically significant decrease of 0·26 percentage points

Heatwaves and extreme weather increase the risk of mental health disorders (panel 4).,, This indicator uses a multivariate ordinary least squares fixed effects model to monitor the influence of heatwaves on online sentiment expression (measured here as the sentiment expressed in tweets), in addition to the effect of extreme precipitation, which is new to this year’s report. This model was used to analyse 7·7 billion tweets from 190 countries and adjusts by month, calendar date, and location. Days of extreme precipitation during 2021 reduced the percentage of tweets that had positive expression by a statistically significant 0·26 percentage points, the highest recorded reduction in positive expression during extreme precipitation days since 2015. Since 2015, heatwave days and days of extreme precipitation have consistently worsened sentiment expression. In 2021, heatwave days increased the proportion of tweets that expressed negative sentiment by a statistically significant 0·20 percentage points, the largest effect in the historical series (from 2015 to 2021). The heatwave in the Pacific Northwest, in 2021, increased negative sentiment by 9·8 times and decreased positive sentiment by 3·7 times the average effects of heatwaves in 2015–20. The extreme rainfall events in western Europe, in 2021, increased negative sentiment by 4·9 times and decreased positive sentiment by 6·6 times the average effect of extreme precipitation on sentiment in 2015–20.

Indicator 1.3: climate suitability for infectious disease transmission—headline finding: the climatic suitability for the transmission of dengue increased by 11·5% for Aedes aegypti and 12·0% for Aedes albopictus from 1951–60 to 2012–21; the length of the transmission season for malaria increased by 31·3% in the highlands of the Americas and 13·8% in the highlands of Africa from 1951–60 to 2012–21

Climate change is affecting the distribution and transmission of many infectious diseases, including vector-borne, food-borne, and waterborne diseases.– This indicator monitors the influence of the changing climate on the potential for transmission for key infectious diseases that are a public health concern.

With the increased movement of people and goods, urbanisation, and climate change, Aedes-transmitted arboviruses spread rapidly in the past two decades, and half the world population now lives in countries where dengue is present.– Combining data on temperature, rainfall, and population, this indicator tracks the basic reproduction number (R0) for dengue, Zika, and chikungunya as a proxy for their transmissibility and, new to this report, the number of months suitable for their transmission. On average, during 2012–21, the R0 increased by 11·5% for the transmission of dengue by Aedes aegypti and 12·0% for the transmission of dengue by Aedes albopictus; and 12·0% for the transmission of chikungunya by A albopictus, and 12·4% for the transmission of Zika by A aegypti compared with 1951–60, globally (figure 4). During the same period, the length of the transmission season increased for all arboviruses by approximately 6%.

The number of months suitable for the transmission of Plasmodium falciparum by Anopheles mosquitoes was computed with temperature, precipitation, and humidity thresholds, and, new to this year’s report, land classes (appendix 5 p 46) suitable for the vector. The number of suitable months in highland areas (≥1500 m above sea level) increased by 31·3% in the WHO region of the Americas, and 13·8% in Africa between 1951–60 and 2012–21.

Non-cholera Vibrio bacteria survive in brackish waters, and can cause gastroenteritis if ingested in contaminated food, and potentially lethal wound infections if direct contact is made with contaminated water. Between 2014–21 and 1982–89, because of changes in sea-salt concentrations and temperature, the area of coastline suitable for Vibrio pathogens increased from 47·5% to 86·3% in the Baltic; from 30·0% to 57·1% in the US northeast; and from 1·2% to 5·7% in the Pacific Northwest; three regions where Vibriosis is regularly reported. An extra 4·3% of the coastal waters in northern latitudes (40–70°N) had temperatures suitable for Vibrio during 2014–21 compared with 1982–89, with 2021 being the second most suitable year on record (11·3% of the coastal area suitable), making brackish waters in these latitudes increasingly suitable for Vibrio transmission.

The ongoing seventh cholera pandemic, which started in the 1960s, is responsible for more than 2·8 million cholera cases and 95 000 deaths annually., Although inadequate sanitation is the main enabler, climate conditions are increasingly favouring the survival of Vibrio cholerae in natural waters, keeping an environmental reservoir and favouring its spread. Deploying an ecological niche model, this indicator estimates that an additional 3·5% of global coastal waters have become suitable for the transmission of cholera since 2003–05.

Indicator 1.4: food security and undernutrition—headline finding: compared with 1981–2010, increased temperatures in 2021 shortened crop growth seasons globally by 9·3 days for maize, 1·7 days for rice, and 6·0 days for winter and spring wheat, and heatwave days were associated with 98 million more people reporting moderate to severe food insecurity in 2020

Food insecurity is increasing globally, with 720–811 million people hungry in 2020. Climate change is exacerbating risks of malnutrition via multiple and interconnected mechanisms (panel 5). Less-educated and lower-income households have an increased chance of experiencing food insecurity, and due to social roles and reduced land ownership, women, and the households they lead, might be more prone to malnutrition.–

High temperatures during growing seasons lead to fast crop maturation, which reduces the maximum potential yield that could be achieved with no limitations of water or nutrients. Combining temperature and crop growth data, the first part of this indicator shows that, compared with the average during 1981–2010, average crop growth season lengths in 2021 continue to shorten globally for all staple crops tracked: by 9·3 days for maize, 1·7 days for rice, and more than 6·0 days for winter and spring wheat.

Rising atmospheric CO2 concentrations are also increasing sea surface temperature, temperatures of inland water bodies, acidifying oceans, and reducing their oxygenation, which exacerbates coral reef bleaching and affects marine and inland fishery productivity.– With a shift to farm-based fish products of reduced nutritional quality, climate change is thus putting marine food security at risk.– The average sea surface temperature in coastal waters of 142 countries increased globally by nearly 0·7°C in 2019–21 compared with 1980–82.

New to this year’s report, the third part of this indicator examines the impact of heatwave days during crop growth season of maize, rice, sorghum, and wheat, on self-reported experience of food insecurity. The indicator combines data from the Food and Agriculture Organization of the UN Food Insecurity Experience Scale from 103 countries with temperature, using a time-varying regression., Compared with 1981–2010, increases in the number of heatwave days resulted in an increase of 3·7 percentage points in self-reported moderate to severe food insecurity in 2020, approximately equivalent to an additional 98 million people reporting moderate or severe food insecurity (figure 5; panel 5).

Conclusion

With an average global surface heating of 1·1°C, climate change is increasingly affecting mental and physical health. Changing climatic conditions are increasing the risk of heat-related illness (indicators 1.1.1–1.1.5), changing the pattern of infectious disease transmission (indicator 1.3), increasing health risks from extreme events (indicators 1.2.1–1.2.3), putting sanitation at risk, and having multidimensional impacts on food and water security (indicator 1.3 and panel 5). These impacts often occur simultaneously, exacerbating the pressure on health and health-supporting systems, and potentially triggering cascading impacts on the social and natural systems that good health depends upon.

With the world projected to heat by 2·4–3·5°C by 2100, this section details the urgency of accelerating mitigation and adaptation to prevent the devastating health outcomes of a heating world.

Section 2: adaptation, planning, and resilience for health

With rapidly increasing climate change-related health hazards, transformative, proactive, and effective adaptation measures are immediately required to manage the health threats of unavoidable global heating, reducing exposure and vulnerabilities, and increasing resilience. Because of the interconnected and multifactorial nature of health determinants and climate impacts, adaptation should be integrated across sectors, and into policies and programmes in health systems, governments, and private corporations.

Three groups of indicators are presented in this section. Indicators 2.1.1–2.1.2 detail adaptation plans and risk and vulnerability assessments—key first steps in health adaptation. The implementation of health adaptation measures and their financing are detailed in indicators 2.2.1–2.2.5. The final set of indicators, shown in section 1 in previous Lancet Countdown reports, have been improved to assess population vulnerabilities, resilience and adaptation interventions, and the risks associated with changing climate hazards (indicators 2.3.1–2.3.3).

Indicator 2.1: assessment and planning of health adaptation

Evidence-based policy making requires comprehensive evaluation of the health threats of climate change. Climate change and health risk vulnerability and adaptation assessments identify vulnerable populations, assess the influence of existing policies, programmes, and health systems capacities in building resilience, and identify future adaptation needs. These indicators monitor the extent to which such assessments are being done, and the contribution of assessments in informing adaptation plans that can protect populations from climate-related health impacts.

Indicator 2.1.1: national assessments of climate change impacts, vulnerability, and adaptation for health—headline finding: in 2021, 48 (51%) of 95 countries reported having completed a climate change and health vulnerability and adaptation assessment, but these only strongly influenced resource allocation in nine countries

With data from the 2021 WHO Health and Climate Change Global Survey, this indicator monitors whether countries have completed a health vulnerability and adaptation assessment. Although 48 (51%) of 95 countries reported completing an assessment, only nine reported that its findings strongly influenced the allocation of human and financial resources to address health risks of climate change, and only 18 reported that assessments strongly informed the development of health policies and programmes (appendix 5 p 68).

Indicator 2.1.2: national adaptation plans for health—headline finding: 49 (52%) of 95 countries reported having a national health and climate change plan in place in 2021

This indicator monitors whether countries have a national health and climate change plan in place, based on data from the 2021 WHO Health and Climate Change Global Survey. Only about half of countries (49/95) reported having a national health and climate change plan in place. Of these countries, 62 (65%) indicated a moderate or lower level of implementation, with 67 (70%) countries citing insufficient finance as a main barrier. As part of the new COP26 Health Programme Initiative on Climate Resilient Health Systems, 59 countries committed to conducting a vulnerability and adaptation assessment and using the findings to inform the development of a Health National Adaptation Plan, which contributes to the UNFCCC’s National Adaptation Plan process. Implementing commitments to the COP26 Health Programme will strengthen access to climate finance, inform national roadmaps for investments in climate-resilient and sustainable health systems, and support the implementation of critical health adaptation interventions.

Indicator 2.1.3: city-level climate change risk assessments—headline finding: 725 (78%) of 930 cities reporting to CDP’s global survey had completed or were in the process of undertaking city-level climate change risk assessments

More than half of the world’s population live in cities; with local interventions, cities are crucial for adaptation to climate change. With data reported to CDP, this indicator shows that, in the past 5 years, the number of cities that declared having undertaken climate assessments increased from 205 (46%) of 449 respondents in 2016, to 725 (78%) of 930 respondents in 2021, reflecting an increased recognition of the city-level impacts of climate change. Although 849 (91%) of the 930 cities responding to this question were in very high or high HDI countries, responding cities from low and medium HDI countries increased by 70%, from 24 (5%) of 471 in 2020, to 41 (8%) of 522 in 2021. 530 (64%) of 822 cities reported that climate change threatened public health or health services. In a shift from last year’s reporting, infectious diseases were identified as the most prominent climate-related health hazard (identified by 382 cities), followed by heatwaves (339 cities) and poor air quality (267 cities). The COVID-19 pandemic affected climate action at the city level, with 310 (39%) of 805 cities reporting that the pandemic increased emphasis on climate action, and only 116 (14%) reporting that the pandemic decreased this emphasis. However, 242 (30%) of 798 cities reported that COVID-19 reduced financing available for climate change, whereas only 178 (22%) reported an increase in financing.

Indicator 2.2: enabling conditions, adaptation delivery, and implementation

Interventions in health-related sectors can reduce climate-related exposure, vulnerability, and hazards, minimising risks to health and wellbeing. Interventions should be integrated across sectors, and include health system strengthening, capacity building, behaviour change, early warning systems, physical infrastructure, and climate-smart agriculture, with adequate financing essential to their implementation. Indicators in this section track progress on implementing these interventions.

Indicator 2.2.1: climate information for health—headline finding: in 2021, less than 40% of countries had climate-informed health surveillance systems in place for vector-borne, waterborne, or airborne diseases

Building preparedness and delivering an adequate response to climate hazards requires health systems to have access to, and use, climate information. This indicator uses data from the 2021 WHO Health and Climate Change Global Survey, to monitor the use of climate information for health surveillance and early warning systems.

In 2021, 30 (39%) of 78 countries reported having climate-informed health surveillance systems for vector-borne diseases, 25 (32%) for waterborne diseases, 23 (35%) of 65 countries for airborne diseases, and 14 (21%) of 66 countries for zoonoses. However, only six (13%) of 47 countries had surveillance for mental health risks and eight (11%) of 70 countries had surveillance for food-borne diseases.

As extreme weather intensifies, climate-informed health early warning systems can help to restrict and respond to its health impacts. About a third (28) of 84 countries reported having climate-informed health early warning systems in place for heat-related events and 26 (30%) of 86 countries reported having them in place for other extreme weather events. Half (n=13) of the 26 very high HDI countries had health early warning systems for extreme weather events compared with only six (19%) of 31 low or medium HDI countries. Whereas 16 (64%) of the 25 very high HDI countries had climate-informed health early warning systems for heat-related events, only four (13%) of 30 low or medium HDI countries had them in place.

Indicator 2.2.2: air conditioning: benefits and harms—headline finding: despite helping to prevent heat-related illness, air conditioning was also responsible for 0·9 gigatonnes of CO2 emissions and 24 000 deaths attributable to PM2·5 exposure in 2020

Although air conditioning is effective at protecting against heat-related illness, 1·8–4·1 billion people in LMICs exposed to heat stress do not have any indoor cooling, and air conditioning is often unaffordable in these countries., Air conditioning also contributes to greenhouse gas emissions, air pollution, urban heat island effects, power outages, and energy poverty.– With data from the International Energy Agency (IEA), this indicator reports that about a third of households globally had air conditioning in 2020, an increase of 66% from 2000. The use of air conditioning in 2020 was responsible for 0·9 gigatonnes (Gt) of CO2 emissions and 24 000 deaths from PM2·5 exposure. Sustainable cooling alternatives need to be rolled out rapidly to avoid the worst health impacts from rising temperatures (panel 6).

Indicator 2.2.3: urban green space—headline finding: in 2021, only 27% of urban centres were classified as moderately green or more

Nature-based solutions can contribute to climate change adaptation and have ecosystem benefits. Green spaces reduce urban heat islands, positively affect physical and mental health, and provide adaptation to extreme heat.– This indicator reports population-weighted normalised difference vegetation index (NDVI) as a proxy for green space exposure in the 1038 urban centres that have over 500 000 inhabitants. Despite increasingly extreme heat, average global exposure to urban green space has remained consistently low since 2015 (mean NDVI 0·34), and just 27% (278 out of 1038) of urban centres were moderately-green or above in 2021 (figure 6; appendix 5 p 79). Only 33% of cities in very high HDI countries, and 39% of those in medium HDI countries, had at least moderate levels of greenness; a proportion that is even lower in high and low HDI countries (16% for both).

Indicator 2.2.4: health adaptation-related funding—headline finding: only 15% of $1·14 billion under the Green Climate Fund went towards adaptation activities with health benefits in 2021

Financial resources are essential to implementation health adaptation interventions. This indicator uses transactional data from Kmatrix’s Adaptation and Resilience to Climate Change dataset to monitor global spending, with the potential to support adaptation in health-care sectors and in sectors of health relevance (eg, agriculture, water, and built environment). In the fiscal year 2020–21, US$21·78 billion was spent in transactions that could support health and health-care adaptation (5·6% of total adaptation-related spending), and $111·2 billion (28·5%) was spent in transactions with the potential to deliver adaptation in health-relevant sectors. In a reversal of trends from previous years, the share of spending in these two sectors with respect to total adaptation-related spending decreased slightly (by less than 0·1%).

The second part of this indicator monitors global multilateral funding for health-related adaptation projects by the Green Climate Fund. In 2021, the Green Climate Fund approved $726 million for 15 adaptation projects and $414 million for eight mitigation and adaptation projects. Of the approved funding, only 15% ($166 million) went to projects with benefits that included increased resilience of health and wellbeing. Furthermore, of the 54 concept notes submitted for adaptation and cross-cutting projects ($1·6 billion), only four focused on health systems ($218 million), none of which were approved. These findings highlight a deficit in the prioritisation of health within adaptation funding.

Indicator 2.2.5: detection, preparedness, and response to health emergencies—headline finding: only 112 (63%) of 177 countries reported high to very high implementation status for health emergency management in 2021

This indicator monitors implementation of core capacity 7 (health emergency management) of the International Health Regulations (IHR). With small changes from previous years, emergency management under core capacity 7 is now comprised of three capacity requirements: planning for health emergencies, management of health emergency response, and emergency logistic and supply chain management. In 2021, 112 (63%) of 177 countries reported high to very high implementation (capacity score of 61–100) of health emergency management. Considering HDI, large disparities existed, with only 35% of low or medium HDI countries reporting high to very high implementation status of health emergency management compared with 88% of very high HDI countries.

The COVID-19 pandemic prompted a review of the IHR by the World Health Assembly in 2020., Proposed reforms include regular country reviews and monitoring mechanisms, increased support for their implementation, and improved information sharing, all of which can help strengthen health systems from health hazards related to climate change. Climate change emergency preparedness and response requires a multisectoral approach with strengthened leadership and coordination of international financial and health institutions, and increased ability to address public health misinformation. These preparedness and response measures would deliver subsequent benefits across the whole health system.,

Indicator 2.3: vulnerabilities, health risk, and resilience to climate change

Climate change adaptation aims to reduce human exposure and vulnerability to climate hazards, minimising health risks, and ultimately minimising climate change-related health impacts. These indicators provide an insight into the effectiveness of adaptation and health system strengthening in modifying climate-related health risks.

Indicator 2.3.1: vulnerability to mosquito-borne diseases—headline finding: improvements in health care contributed to a 43% decrease in vulnerability to severe dengue outcomes in low HDI countries from 1990 to 2019, whereas urbanisation increased vulnerability by 5% in very high HDI countries

Dengue incidence increased eight-fold in the past two decades, driven by population movement, international trade, urbanisation, and increasing climatic suitability (indicator 1.3).–,, Although controlling the spread is challenging, timely and adequate treatment is essential to prevent severe health outcomes.,, This indicator tracks the relative vulnerability to severe adverse dengue outcomes in countries that have the suitable climatic conditions for dengue outbreaks (R0>1, as per indicator 1.3), combining two main determinants of dengue vulnerability: health-care access and quality (by using mortality from key preventable diseases as a proxy), and the proportion of population in urban environments., Between 1990 and 2019, improvements in health care contributed to a 43% reduction in vulnerability to severe dengue outcomes in low HDI countries, and a 23% reduction in medium HDI countries. However, urbanisation increased vulnerability to dengue in very high HDI countries by 5%.

Indicator 2.3.2: lethality of extreme weather events—headline finding: the average lethality per climate-related disaster has decreased from 837 deaths in 1980–89 to 46 in 2012–21, and is negatively associated with health-care spending

The number of reported climate and weather-related disasters has increased five-fold in the past 50 years. Using data from the Centre for Research on the Epidemiology of Disasters, data in this indicator show that the proportion of all climate-related events that were deadly has increased steadily since at least 1980. However, the lethality of these events has decreased globally from an average of 837 deaths per event in 1980–89 to 46 in 2012–21 (p<0·031). The average number of people affected per disaster is negatively correlated with GDP, HDI, and the percentage of GDP spent on health care, with the percentage of GDP showing the strongest correlation. With extreme weather events becoming increasingly frequent and severe, these results highlight the importance of strengthening health systems, including with the implementation of the priorities outlined in the Sendai Framework for Disaster Risk Reduction. Because of the socially defined gender differences in the impacts and response of extreme events, a gender-sensitive approach is particularly needed.

Indicator 2.3.3: migration, displacement, and rising sea levels—headline finding: 149·6 million people were settled less than 1 metre above current sea level, in regions increasingly at risk from the hazards of the rising seas in 2021

The global mean sea level increased by 3·7 mm per year between 2006 and 2018, and will reach 0·28–1·01 m or more by 2100, depending on climate change mitigation efforts, ice sheet collapse, and local factors.,– With land elevation and population data, this indicator reports that there were 149·6 million people living less than 1 m above sea level in 2020, a slight increase from the 145·2 million people settled there in 2010. These populations are at risk of flooding, coastal and riverbank erosion, severe storms, soil and water salinisation, spread of infectious diseases, and permanent inundation.– With insufficient adaptation, human relocation (forced, or as a proactive adaptation measure) could be a response, and its health impacts will largely depend on the support given to migrant populations. The development of policies to protect the health of migrant and immobile populations is crucial. As of December, 2021, 45 policies connecting climate change and migration were identified in 37 countries.

Conclusion

The indicators in this section exhibit some signs of progress in the adaptation to climate change, with national and city-level assessment of the climate-related health risks gradually increasing, and evidence suggesting that the strengthening of health systems might have reduced the impact of extreme events. However, data show that the pace and scale of climate change adaptation, planning, and resilience is far from what is necessary to reduce the health impacts of climate change. Despite increasing temperatures, only 27% of urban centres have at least a moderate level of greenness, and just 28 (33%) of 84 countries report having heat-related early warning systems for health. Funding to support health adaptation remains grossly insufficient and is seldom influenced by vulnerability and adaptation assessments. In 2022, unprecedented global health, economic, and conflict events have critically worsened public health, with climate change exacerbating the impacts of many of these events. Without global coordination, transparency, and cooperation between governments, communities, civil society, businesses, and public health leaders, the world will remain vulnerable to international emergencies. The gap between the health impacts of climate change, and adaptation investment and implementation continues to increase, to the detriment of all.

Section 3: mitigation actions and health co-benefits

Due to COVID-19-related responses, anthropogenic CO2 emissions decreased by 5·4% in 2020, the largest decrease in the past 25 years. However, with little structural change to limit fossil fuel use, emissions rebounded in 2021, by 6%, reaching an all-time high. The current 1·1°C of warming proved to be already dangerous to health (section 1). To limit the temperature rise to 1·5°C higher than pre-industrial levels, emissions should decrease by 45% from 2010 levels by 2030. However, even if commitments in every country’s NDCs were met, emissions in 2030 would be 13·7% higher than 2010 levels. The grossly insufficient decarbonisation, compounded by geopolitical conflict, has made it vastly more challenging to limit the temperature rise to 1·5°C, and the window of opportunity to limit the temperature rise is rapidly closing.

Accelerated decarbonisation would not only prevent the most catastrophic health impacts of accelerated heating, but, if designed to maximise health benefits, could also save millions of lives with healthier diets, more active lifestyles, and improved air quality. Indicators in this section monitor the world’s efforts to reduce greenhouse gas emissions in energy (indicators 3.1 and 3.2), transport (indicator 3.4), food and agriculture (indicator 3.5), and health care (indicator 3.6), and monitor the health benefits that could arise from prioritising health in mitigation policies.

Indicator 3.1: energy system and health—headline finding: the carbon intensity of the global energy system decreased by less than 1% since 1992, the year the UNFCCC was adopted and energy-related emissions CO2 emissions reached a record high in 2021

Energy systems are the largest single source of greenhouse gas emissions and are major contributors to air pollution. Global energy system transition to renewables is not only crucial for climate change mitigation, but could also contribute to universal, affordable, and clean energy; reduce air pollution; and decrease dependence on international markets and foreign policies. With data from the International Energy Agency, this indicator shows that the carbon intensity of the global energy system continued to decrease in 2019 for the seventh consecutive year, to 55·4 tCO2/TJ. However, this is still not enough to keep global warming at 1·5°C, with a reduction of less than 1% from 1992 levels, the year the UNFCCC was adopted. At the pace recorded since 2014, fully decarbonising the energy system would take 150 more years. The increasing demand for energy means fossil fuel use is still rising, and fossil fuel-derived CO2 emissions increased again in 2021 by 6·0%, after a 5·1% decrease in 2020 during the COVID-19 pandemic (figure 7), putting CO2 emissions at a record high.

Phasing out coal is particularly urgent because of its high greenhouse gas emissions and air pollution intensity. However, coal provides 26·7% of global energy supply, 2·8 percentage points more than in 1992. Responsible for 54% of global coal energy use in 2019, China’s coal expansion has been a major contributor to the rise in global greenhouse gas emissions since the early 2000s, with emissions at 7tCO2 per person in 2019, now equivalent to the Organisation for Economic Co-operation and Development (OECD) average.

Growth in renewable electricity reached record levels in 2020, with the installation of 139 GW of solar PV and 93 GW of wind power. This corresponded to 90% of new electricity installation in 2020, and to renewables providing 8·2% of global electricity, twice the levels in 2013. However, big differences exist between countries globally, and only 1·4% of the electricity of low HDI countries is produced from modern renewables (mostly solar, wind, and geothermal), compared with 9·5% in very high HDI countries. Concerningly, 59% of health care facilities in low and middle-income countries lack the reliable energy services they need to provide basic care; only 2·2% of total world energy comes from renewable sources; and total fossil fuel use has increased faster. A low-carbon transition can help countries to increase local energy production, gain independence from volatile fossil fuel markets, and reduce energy poverty.

Indicator 3.2: clean household energy—headline finding: despite improved access to clean fuels, biomass accounted for 31% of global household energy in 2020 and fossil fuels accounted for 26%

Around 770 million people do not have access to electricity in their homes, and the use of dirty fuels is leading to high exposure to air pollution. In parallel, with residential energy contributing to 17% of global greenhouse gas emissions, transitioning to clean fuels in the domestic sector is essential to meet mitigation goals. With use of IEA data, this indicator reveals that biomass represented the largest individual source of residential energy in 2020, contributing to 31% of residential energy use (a proportion that rises to 96% in low HDI countries); electricity contributed to 25%; and fossil fuels contributed to 26%. Africa improved access to clean energy from 13% to 20% and southeast Asia improved access from 19% to 64% in 2000. However, both regions remain heavily reliant on solid biofuels. Data from WHO indicate that although 86% of the global urban population had access to clean fuels and technologies for cooking in 2020, only 48% of rural populations did. Inequities were also noted between countries, with 98% of the population in very high HDI countries having access to clean fuels and technologies for cooking, against just 13% in low HDI countries (figure 8).

WHO estimates that the use of solid fuels for cooking resulted in 3·8 million deaths attributable to household air pollution in 2016. Providing the capacity to monitor changes in household air pollution exposure on a yearly basis, this new indicator expands on a previously published model to estimate household air pollution with a Bayesian hierarchical model that accounts for fuel usage, stove types, socioeconomic variables, and ambient air pollution in 62 countries. This indicator estimates that the use of solid fuels for cooking and heating resulted in a global average PM2·5 concentration in people’s homes of 150 µg/m3 in 2020 (168 µg/m3 in rural households and 91 µg/m3 in urban areas). With values broadly exceeding the 5 µg/m3 threshold recommended by WHO, the delayed transition to clean household energies is profoundly affecting people’s health.

Economic hardship during the COVID-19 pandemic has worsened energy insecurity in households in countries of all HDI levels. The number of people without access to electricity increased in 2020 for the first time in six years, with shifts to the use of biomass and other unreliable fuels increasing exposure to household air pollution., The share of the population without access to electricity in sub-Saharan Africa increased by 3 percentage points to 77% in 2020. Russia’s invasion of Ukraine threatens to exacerbate energy poverty and the use of unhealthy and unreliable fuels in the domestic sector, with rising energy prices and supply chain disruption.,

Indicator 3.3: mortality from ambient air pollution by sector—headline finding: exposure to ambient anthropogenic PM2·5 contributed to 3·3 million deaths in 2020, of which 1·2 million were directly related to the combustion of fossil fuels

Exposure to air pollution increases the risk of respiratory and cardiovascular disease, lung cancer, diabetes, neurological disorders, and adverse pregnancy outcomes. This indicator estimates the mortality attributable to ambient PM2·5, combining atmospheric modelling with information about activity in emitting sectors. For this year’s report, baseline mortality data were updated, and attributable deaths from type 2 diabetes were also included. In 2020, exposure to ambient PM2·5 contributed to 4·2 million deaths, unchanged from 2015, and mortality per 100 000 decreased by 5% (figure 9). Of these deaths, 80% (3·3 million) were attributable to anthropogenic emissions; of which 1·2 million (35%) were directly related to the combustion of fossil fuels. Deaths due to coal combustion have decreased by 18% from 687 000 in 2015 to 561 000 in 2020, mostly because of strict air pollution control measures in China and coal phase down in Europe.

Indicator 3.4: sustainable and healthy road transport—headline finding: use of fossil fuels in road transport decreased by 0·8% in 2019, whereas use of electricity increased by 15·7%

The transport sector contributed to 25% of global CO2 emissions in 2019.,, If combined with energy grid decarbonisation, electric vehicles can be an important mitigation tool. The use of electricity for road transport increased by 237% in the past decade, but still represents just 0·3% of total fuel use for road travel. Sales of electric vehicles more than doubled in 2021, a growth led by China, with nearly 3·4 million sales (12% of the total). However, only 1% of the global car stock is electric.

Road transport decarbonisation with a modal shift to active travel can have health benefits from reduced air pollution, which accounted for 497 000 deaths in 2020 (indicator 3.3) and increased physical activity., Smartphone data suggest that the use of public transit has returned to pre-pandemic levels in 85% of countries for which data are available, highlighting the need for robust policies that encourage shifts to active travel and public transit modes.

Indicator 3.5: food, agriculture, and health

The global food system contributes one third of all greenhouse gas emissions. Emissions from the agricultural sector are dominated by ruminant rearing, mostly mediated by methane emissions and land use change., Shifting to low-carbon, plant-forward diets can help mitigate agricultural emissions as well as have important health co-benefits from improvements in dietary risk factors and mortality from non-communicable diseases.,, These two indicators track agricultural emissions (indicator 3.5.1) and the health impacts of carbon-intensive diets (indicator 3.5.2), identifying the potential health opportunity of agricultural decarbonisation.

Indicator 3.5.1: emissions from agricultural production and consumption—headline finding: red meat and milk contribute to 55% of global agriculture emissions

This indicator, improved from previous reports to include data on 140 food types, estimates that emissions from the consumption of agricultural products have remained stable, at around 0·9 tonnes CO2 equivalent (tCO2e) per person, although total emissions have increased by 31% since 2000 (figure 10). In 2019, 55% of global agricultural emissions came from red meat and dairy products. Per capita emissions from red meat and dairy consumption in very high HDI countries were twice the emissions in the rest of the world (0·8 tCO2e per person vs 0·4 tCO2e per person). Increases in palm oil production account for some of the greatest changes since 2000, for which emissions in southeast Asia (mainly Indonesia) increased over 600%.

Indicator 3.5.2: diet and health co-benefits—headline finding: in 2019, 11·5 million deaths were attributable to imbalanced diets, with 17% associated with a high intake of red and processed meat and dairy products

This indicator monitors the health burden from unhealthy diets and, new to this year, the burden of imbalanced energy intake.

In 2019, 11·5 million deaths were attributable to imbalanced diets. 17% (2 million) of them were related to red and processed meat and dairy consumption, of which 93% were in high and very high HDI countries. In low and medium HDI countries, the low consumption of fresh fruit and vegetables was the major contributor to diet-related mortality, at 44% of all diet-related deaths in low HDI countries, and 37% in medium HDI countries.

Indicator 3.6: health-care sector emissions—headline finding: from 2018 to 2019, emissions from the health-care sector increased by more than 5%, reaching 5·2% of global greenhouse gas emissions

Because of the health impacts of climate change, health systems need to lead decarbonisation, to comply with their duty of not harming health. This indicator monitors health-care sector emissions combining health-care expenditure data with a global, environmentally-extended multi-region input–output model. The indicator estimates that, in 2019, the health-care sector contributed to approximately 5·2% (2·7 GtCO2e) of global greenhouse gas emissions, an increase of more than 5% from the previous year. Of the 37 health systems analysed individually, the USA had the most emissions per person—50 times the emissions of India (figure 11). Yet, the USA has the sixth lowest healthy life expectancy at birth (66·2 years). Per capita emissions in the 10 countries with the highest life expectancy ranged from 1065 kgCO2e per person in South Korea, to 321 kgCO2e per person in France, highlighting that high-quality health care can be achieved with lower emissions. Recent decarbonisation commitments made as part of the COP26 health programme since November, 2021, by more than 50 national health services provide hope for emerging progress (panel 7).

Conclusion

After COVID-19 pandemic lockdowns were lifted and restrictions were eased, CO2 emissions rebounded to record levels in 2021. With each year that global greenhouse gas emissions do not fall, reaching net-zero by 2050 becomes more challenging, putting lives at increased risk from climate change.

Although impacts of COVID-19 on the indicators in this section are still emerging, many of the challenges for mitigation and health co-benefits have been entrenched since the start of the pandemic, including the domestic over-reliance on biomass, record levels of coal extraction in China, and rebounding emissions from road transport. The energy crisis, worsened by Russia’s war on Ukraine, threatens to deteriorate this situation, further under-mining progress and exacerbating energy poverty. However, increasing energy efficiency, conservation, and the use of renewable energy sources could give healthier, more resilient, and self-sufficient energy systems. Millions of lives could be saved each year by accelerating transition to cleaner fuels, healthier diets, and active modes of travel.

Section 4: economics and finance

Limiting the global temperature rise to 1·5°C requires rapid decarbonisation in all economic sectors. Although the initial investment required for a low-carbon transformation is substantial, the investment would lead to immediate economic and health co-benefits, in addition to avoiding long-term climate change impacts., With the right incentives, and market and governance conditions, the necessary private sector investment is available. However, wealthier parties to the UNFCCC have failed to meet their commitment of delivering the smaller sum of US$100 billion annually to support climate action in “developing” countries that they committed to 13 years ago; a commitment essential not only for attaining global climate goals, but also to ensure a just transition. In addition, the energy crisis, worsened by the COVID-19 pandemic and exacerbated by the war in Ukraine, is increasing energy poverty, and exposing further dimensions of the human costs of a fossil fuel-dependent global energy system. Indicators in this section detail the economic costs of climate change, and monitor the transition to a low-carbon, healthy, and just global economy.

Indicator 4.1: the economic impact of climate change and its mitigation

Climate change is causing additional health-care costs, loss of labour productivity, and economic losses through the damage caused by climate-related extreme events. These costs and losses subsequently affect household incomes and national economies. Indicators in this section monitor the economic costs associated with the health impacts of climate change, showing the potential benefits from accelerated climate action.

Indicator 4.1.1: economic losses from climate-related extreme events—headline finding: around 84% of global economic losses due to climate-related extreme events in 2021 affected very high HDI countries, double the global average loss as a proportion of GDP. While half of their losses were insured, the majority of losses in other countries were uninsured

The loss of infrastructure and resulting economic losses due to extreme events can exacerbate health impacts with disruption of essential services and effects on the social determinants of health. This indicator monitors the economic losses from climate-related extreme events, with data provided by Swiss Re.

In 2021, climate-related extreme events induced measurable economic losses of US$253 billion, with 84% of these losses in very high HDI countries. As a proportion of GDP, losses in the very high HDI group are double the global average. Nearly half of these losses were insured, although insured losses represented only 8% of all losses in high HDI countries and 5% in medium HDI countries, with almost 0% in the low HDI country group. These high levels of uninsured losses worsen the economic burden of climate change in low HDI countries, with losses either not being replaced, or individuals and institutions incurring the cost of replacement.

Indicator 4.1.2: costs of heat-related mortality—headline finding: the monetised value of global heat-related mortality was estimated to be $144 billion in 2021, equivalent to the average income of 12·4 million people

This indicator combines estimates of years of life lost data from indicator 1.1.6 with the value of statistical life year to estimate the monetised loss caused by heat-related mortality. The valuation of life across varying HDI levels presents methodological and ethical challenges, which this indicator addresses by presenting the cost of deaths attributable to heat as the proportion of GDP and the equivalent annual average income in the countries concerned. From 2000 to 2021, monetised losses increased at an average rate of $4·9 billion each year, equivalent to 0·16% of gross world product in 2021 (figure 12). The past 6 years show the highest losses, at an average equivalent to the income of 12·4 million people, 73% higher than in 2000–05. In 2021, very high HDI countries incurred the highest losses, equivalent to 5·3 million of their populations’ average income, with losses equivalent to 4·7 million in high HDI countries, 1·48 million in medium HDI countries, and 0·51 million in low HDI countries.

Indicator 4.1.3: loss of earnings from heat-related reduction in labour capacity—headline finding: the global potential loss of income from reduction in labour capacity due to extreme heat was US$669 billion in 2021. The agricultural sector was the most severely affected, incurring 82% of the average losses in low HDI countries and 71% in medium HDI countries

This indicator quantifies the loss of earnings that could result from heat-related labour capacity loss, combining data from indicator 1.1.4 with hourly wage data from the International Labour Organization.

The global potential loss of earnings was US$669 billion in 2021, equivalent to 0·72% of gross world product in 2021. In 2021, average relative income losses were equivalent to 5·6% of GDP for low HDI countries and 3·9% of GDP for medium HDI countries—the highest average relative income losses (figure 12; figure 13). Of all global losses, 40% occurred in the agricultural sector. Often being among the world’s poorest, agricultural workers in low HDI countries had losses of 82% and those in medium HDI countries had losses of 71%.– Affecting individual finances, these losses impact on people’s wellbeing, food security, and the social determinants of health, and cascade through the economies of the nations they live in.

Indicator 4.1.4: costs of the health impacts of air pollution—headline finding: the monetised costs of premature mortality due to air pollution amounted to US$2·3 trillion in 2020, the equivalent of 2·7% of gross world product

This indicator places an economic value on the years of life lost from exposure to anthropogenic ambient PM2·5 as per indicator 3.3. Whereas costs relative to average income and GDP decreased between 2019 and 2020 in all HDI groups, the total cost amounted to US$2·3 trillion in 2020—the equivalent of 2·7% of gross world product. The high HDI country group has the greatest costs relative to per capita income, equivalent to the average annual income of 92·3 million of its people. The medium HDI group has the greatest costs relative to the size of their collective economies, equivalent to nearly 4% of GDP.

Indicator 4.2: the economics of the transition to net zero-carbon economies

Meeting the Paris Agreement goals requires a low-carbon transition of the whole economy. Indicators in this section monitor jobs and investment in low-carbon energy, net carbon pricing, and the effect of global trade on emissions. A new indicator quantifies the extent to which the activities of oil and gas firms align with the pathways needed to keep global mean temperature rise to under 1·5°C of heating.

Indicator 4.2.1: clean energy investment—headline finding: between 2020 and 2021, investment in global energy supply investment increased by 14%; zero-carbon sources accounted for 80% of investment in electricity generation in 2021

As described in the previous section, phasing out fossil fuels, particularly coal, and investing in low-carbon energy supply is essential for both mitigating climate change and for reducing premature mortality caused by air pollution. With data from the IEA, this indicator monitors trends in global investment in energy supply and energy efficiency.

Between 2020 and 2021, total investment increased by 14%, with investment increasing in all forms of energy supply and energy end use efficiency, except coal for electricity generation. In 2021, electricity generation accounted for 28% of investment. Of this investment, 80% was invested in zero-carbon sources. However, fossil fuels still account for more than 90% of non-electricity sector investment. Energy efficiency accounted for 15% of all investment—an increase from 13% in 2020. To fulfil net-zero global emissions by 2050, investment in low-carbon energy, efficiency, and electricity networks needs to nearly quadruple by 2030, and account for at least 90% of all energy investment.

Indicator 4.2.2: employment in low-carbon and high-carbon industries—headline finding: with more than 12 million employees, direct and indirect employment in renewable energy exceeded direct employment in fossil fuel extraction for the first time in 2020

Employees in fossil fuel extraction industries, particularly coal mining, can have a greater incidence of non-communicable disease than the general population. Increasing employment in the renewable industry could improve health and livelihoods. In addition, it could improve gender balance, with a greater proportion of women employed in the renewable sector than in the fossil fuel industry.

This indicator shows that more than 12 million people were employed directly or indirectly by the renewable energy industry in 2020—an increase of 5% from 2019. For the first time, direct and indirect employment in the renewable energy sector exceeded direct employment in the fossil fuel extraction industry, which recorded 10·5 million employees (a decrease of 10% from 2019), reaffirming that renewable energy could support job security, now and in the future.

Indicator 4.2.3: funds divested from fossil fuels—headline finding: the global value of funds committing to fossil fuel divestment between 2008 and 2021 was $40·23 trillion, with health institutions accounting for $54 billion

By divesting holdings in fossil fuel companies, organisations can both reduce the social licence of fossil fuel companies to operate, and hedge against the risk of losses caused by stranded assets in an increasingly decarbonised world., This indicator tracks the value of funds divested from fossil fuels, with data provided by stand.earth and 350.org.

From 2008 until the end of 2021, 1506 organisations, with assets worth at least US$40·23 trillion, have committed to divestment. Of these organisations, only 27 are health institutions, with assets totalling $54 billion. The value of new funds committed to divesting in 2021 was $9·42 trillion, with no new health institutions divesting.

Indicator 4.2.4: net value of fossil fuel subsidies and carbon prices—headline finding: 69 (80%) of the 86 countries reviewed had a net-negative carbon price in 2019, hindering the transition from fossil fuels. The resulting net loss of government revenue was in many cases equivalent to large proportions of the national health budget

Carbon prices help economies transition from high-carbon fuels, but many governments subsidise fossil fuels, encouraging health-harming emissions and slowing the low-carbon transition. This indicator compares carbon prices and monetary fossil fuel subsidies to calculate net economy-wide average carbon prices and revenues in 86 countries, responsible for 92% of global CO2 emissions. In 2019, 42 countries had a system for carbon pricing, but only 17 produced a net-positive carbon price—all of which were very high HDI countries (figure 14). 69 (80%) of 86 countries reviewed had net-negative carbon prices (ie, provided a net subsidy to fossil fuels) for a net total of US$400 billion that year, with ten countries each exceeding $10 billion of net subsidies. In 31 countries, net subsidies exceeded 10% of national health spending, and exceeded 100% in 5 countries.

Redirecting government support from subsidising fossil fuels to low-carbon power generation, health protection, public health promotion, and health care is likely to deliver net benefits to health and wellbeing., International financing mechanisms are needed to support low-income countries that are most affected by fluctuating energy costs in their transition to sustainable energy sources, particularly with the current energy crisis, and to safeguard all dimensions of human health.

Indicator 4.2.5: production-based and consumption-based of CO2 and PM2·5 emissions—headline finding: in 2020, 18% of CO2 and 17% of PM2·5 global emissions were from the production of goods and services traded between countries of different HDI levels. The very high HDI country group was the only group with net outsourcing of both CO2 and PM2·5 emissions from its consumption

The production of goods and services results in local greenhouse gas and PM2·5 emissions, which can be monitored with production-based emission accounting. However, these goods and services are often consumed in different locations than where they were produced. Consumption-based emission accounting allocates emissions to countries according to their consumption of goods and services. This indicator uses an environmentally-extended multi-region input–output model, and the same air pollution modelling described in indicator 3.3,– to assess each country’s consumption-based and production-based contribution to CO2 and PM2·5 emissions.

In 2020, 18% of CO2 and 17% of PM2·5 global emissions were from the production of goods and services traded between countries of different HDI levels. Emissions were 3% lower for CO2 and 7% lower for PM2·5 than the year before—likely to be a result of restrictions during the COVID-19 pandemic. In 2020, the very high HDI country group contributed the most consumption-based (47%) CO2 emissions, whereas the high HDI country group contributed the most production-based (46%) CO2 emissions. However, consumption-based emissions per person were highest in very high HDI countries, 1·3 times higher than the global average, and 26·3 times higher than emissions per person in low-HDI countries.

High HDI countries were the biggest contributors to both production-based (39%) and consumption-based (36%) PM2·5 emissions, even if their contribution share decreased from 2019 (figure 15). PM2·5 emissions per person were largest in low HDI countries, a reflection of poor air quality control measures and the use of more polluting fuels. The very high HDI country group was the only group with higher consumption-based than production-based emissions of both CO2 and PM2·5 emissions.

Indicator 4.2.6: compatibility of fossil fuel company strategies with the Paris Agreement—headline finding: the current strategies of 15 of the largest oil and gas companies would lead to production exceeding their share of levels consistent with limiting the global average surface temperature rise to 1·5°C by 37% in 2030, and 103% in 2040

Emissions from oil and gas need to be reduced drastically to enable a healthy future., This indicator assesses the extent to which current oil and gas company production strategies are compatible with Paris Agreement goals, regardless of their claims and commitments. The indicator uses data from the Rystad energy database on commercial activities for the eight largest publicly listed international oil and gas companies (IOCs) by production volume, and the seven largest state-owned national oil and gas companies (NOCs). These IOCs accounted for 14% of total global production in 2021 and NOCs accounted for 28% (42% overall). Projected emissions based on current strategies are compared with a pathway compliant with 1·5°C, assuming constant market shares at the 2015–19 average.

Data in this indicator suggest that the production strategies of these companies would generate greenhouse gas emissions that exceed their share compatible with 1·5°C by an average of 39% for these IOCs, and 37% for the NOCs, in 2030. These excess emissions would rise to 87% for IOCs and 111% for NOCs in 2040 (figure 16). Cumulative production from 2020 to 2040 is projected to exceed their share of the 1·5°C target by 36% for IOCs and 38% for NOCs.

According to these results, the activities of some of the largest oil and gas companies are far from compliant with the goals of the Paris Agreement. Strong government action and pressure from civil society could be essential to bring about such compliance, with a faster transition from fossil fuels to low-carbon energy sources.

Conclusion

Indicators in this section highlight some of the extensive costs associated with the health impacts of climate change (panel 8). The economic impacts of climate change are affecting livelihoods and the socioeconomic conditions that good physical and mental health depend on. Substantial and sustained investment in the low-carbon transition is essential to minimise these impacts for a healthy future. Both governments and the private sector have crucial roles in making this happen. Indicators show that investments and employment are slowly transitioning from fossil fuels to clean energy, and divestment from fossil fuel assets is also increasing. However, the pace needs to be accelerated to prevent devastating economic and health impacts of climate change. Yet, governments continue to incentivise a carbon-intensive and health-harming economy by subsidising fossil fuels to a level of value often equivalent to substantial proportions of national health budgets. Meanwhile, oil and gas companies are on track to exceed their share of maximum emissions compatible with 1·5°C of heating by more than 100% in 2040. Increased regulations, scrutiny, and accountability mechanisms need to be urgently implemented to ensure the energy sector aligns its activities with agreed climate targets. Governments worldwide must urgently accelerate this transition, by setting regulations and redirecting investment to a low-carbon, healthy, and energy-resilient future.

Section 5: public and political engagement

The integration of health and climate policies is essential for a rapid climate transition that protects human health,, particularly in countries and communities that have contributed least to rising global temperatures, yet are the most affected by them.– Public and political engagement with the health dimensions of climate change is essential to deliver equity-focused climate policies at speed and scale, and to close implementation gaps.,

This section focuses on key domains of public and political engagement in health and climate change: engagement by the mainstream media (indicator 5.1), individuals (indicator 5.2), the scientific community (indicator 5.3), governments (indicator 5.4), and the corporate sector (indicator 5.5). Where relevant, data is analysed as from 2007, the year before the UN World Health Assembly made a multilateral commitment to protect people’s health from climate change. Where relevant, the analysis includes engagement with climate change adaptation and pandemic preparedness, to capture engagement with key dimensions of a coordinated response to climate change and the COVID-19 pandemic (appendix 5 p 164).

Indicator 5.1: media engagement in health and climate change—headline finding: coverage of health and climate change in media reached a record of 14 474 articles in 2021; however, this coverage only constitutes a small proportion of climate change coverage

Newspapers, in their print and online versions, are a widely used source of public information that influence public perceptions on climate change,, governments, and the social media agenda. This indicator covers analysis articles in newspapers across 37 countries, including China’s People’s Daily, and its method is based on keyword searches (in English, German, Portuguese, Spanish, and Chinese) of relevant newspaper databases.

In 2021, global coverage of both climate change and health reached a new record high, with 14 474 articles that year, 27% more than in 2020 (figure 17). In China’s People’s Daily, climate change coverage also reached its highest recorded level. Coverage of health and climate change remained scarce, with only 1% of People’s Daily articles relating to both issues; none of these articles covered pandemic preparedness and only one referenced adaptation.

In English language newspapers (n=51) across 24 countries, 2554 (20%) of 13 017 of articles referring to both health and climate change also referred to adaptation, and 6258 (48%) referred to the pandemic. Very few (645; 5%) referred to health, climate change, adaptation, and the pandemic.

Indicator 5.2: individual engagement in health and climate change—headline finding: individual engagement in health and climate change increased by 19% between 2020 and 2021, but health and climate change are topics that people did not frequently engage with at the same time

This indicator is based on global use of the online encyclopaedia Wikipedia, an information source with increasing coverage and comprehensiveness and wide public reach,– that amplifies the diffusion of science.,

The indicator tracks people’s movements between articles on health and on climate change (known as clickstream statistics), based on the English Wikipedia, the most popular language edition in multiple countries worldwide.,

Users click between articles on health or on climate change, with these domains heavily co-visited internally. There are fewer connections between domains: health and climate change are seldom topics that people engage with at the same time. Of all click views leading to a climate change-related article, 0·3% came from a health-related article; of click views leading to a health-related article, 0·02% came from a climate change-related article. These movements increased by 19% from 2020 to 2021, reversing the decline between 2019 and 2020. The COVID-19 pandemic continued to be a key driver of online engagement on health and climate change; for example, COP26 coincided with a higher engagement on health and climate change, but this was mainly driven by interest in the pandemic situation in its host country.

Indicator 5.3: scientific engagement in health and climate change—headline finding: the number of scientific papers investigating health and climate change increased by 22% from 2020 to 2021

Scientific engagement is tracked in peer-reviewed journals, the primary source of scientific evidence for the media and governments., This indicator uses an enhanced method in this year’s report, with supervised machine learning and associated methods (topic modelling and geoparsing) to map scientific articles on health and climate change over time, extending the time period to 1985–2021 from the previous report.

In 2021, more than 3200 articles engaged with health and climate change, an increase of 22% compared with 2020 (figure 18). However, this number is a very small proportion of scientific articles on climate change and on climate impacts. The majority of health and climate change articles were located in, and led by, authors in WHO regions of Western Pacific and the Americas. As research on the health implications of climate change continues to dominate (86% of articles), climate solutions (mitigation and adaptation) are being given increasing attention. 20% of health and climate change articles engaged with pandemic preparedness.

Indicator 5.4: government engagement in health and climate change—headline finding: the proportion of countries referring to the association between health and climate change increased in both the 2021 UN General Assembly (to 60%) and in updated NDC submissions (to 86%)

Government engagement, essential for climate action, is tracked by two indicators: the first tracks statements made by national leaders at the UN General Debate (UNGD), at the UN General Assembly, the policy making body of the UN. The second monitors mentions of health and climate change in NDCs—the major policy instrument set under the Paris Agreement to protect health from “dangerous anthropogenic interference with the climate system”. Analysis is based on the UNGD text corpus (a database that holds the text transcripts of speeches made at the UNGD), and on content analysis of the first and the updated NDCs accessed from the UNFCCC interim registry.–

In 2021, the proportion of countries referring to the association between health and climate change at the UNGD increased to 60%, its highest recorded level, from 47% in 2020 (figure 19). As in 2020, the COVID-19 pandemic was the main driver for this engagement. St Lucia’s UNGD address noted that “The COVID-19 pandemic and the climate change challenge […] provide us with a harsh and timely reminder that human health and planetary health are linked.”

Countries with low HDI, particularly Small Independent Developing States (SIDS), continue to lead engagement: 76% of SIDS discussed the association between health and climate change in the 2021 UN General Debate. However, increasing engagement with health and climate change is evident in all countries, including those with high and very high HDI.

Increased engagement with health is evident in updated or new NDCs submitted by 126 UN member states (including the one representing 27 EU nations). Of these NDCs, 86% refer to health, an increase from 82% in the first NDCs. The increase is greatest for member states in the high HDI category, which all now refer to health, followed by the very high HDI group (71% made references in the updated NDCs, in an increase from 65% in the first round). The proportions have slightly declined for the medium (87% to 86%) and low (94% to 86%) HDI groups. Most health references are about adaptation needs or efforts (83% of the NDCs mentioned health compared with 87% in the first round), and 40% are also about climate change mitigation (from 18%).

References to the health sector also increased from 74% in the first round to 81% in the second round. Health-care infrastructure was a particular focus, having increased from 39% to 73%. For example, Albania’s second NDC outlines how “health facilities could be damaged by climate-related changes, such as SLR [sea level rise], heavy rains or extreme temperatures”.

Indicator 5.5: corporate sector engagement in health and climate change—headline finding: engagement in health and climate change increased in 2021 to its highest level among companies in the UN Global Compact, with 38% of corporations referring to the association between health and climate change

The indicator tracks engagement in health and climate change in the annual Communication of Progress (COP) among companies signed up to the UN Global Compact, the world’s largest corporate sustainability framework operating across 165 countries without restriction by sector or company size., In an improvement from previous iterations, in which only English-language COPs were analysed, COPs in all languages are now included.

Engagement in health and climate change reached its highest level in 2021, with 38% of corporations referring to the association between health and climate change in their COP report. However, as in previous years, there was increased corporate engagement in climate change (87%) and health (72%) as separate issues. Engagement in the association between health and climate change was greatest in companies based in the Western Pacific (53% COPs) and southeast Asia (43%) regions.

Conclusion

Engagement in health and climate change reached its highest recorded level in 2021, with climate change solutions becoming an increasing focus of health and climate change engagement (eg, in scientific research and the enhanced NDCs). As in previous years, government engagement is led by countries most vulnerable to a climate crisis not of their making.,,

As in 2020, the COVID-19 pandemic continues to be a major driver of health and climate change engagement. In the media, a large proportion of English language newspapers engaging with health and climate change referred to the pandemic. The pandemic also drove engagement by individuals and by government leaders in health and climate change. This raises the question of whether increased engagement is contingent on the pandemic context.

Although health and climate change engagement increased in 2021, there is more engagement with health and climate change as separate issues, a pattern evident in individual Wikipedia users’ activities, government leaders’ speeches at the UNGD, and companies reports to the UN Global Compact. Similarly, media and scientific engagement in climate change continues to surpass engagement in health and climate change. Despite mounting evidence of the health burden of climate change, health and climate change have yet to be securely associated in the public, political, and corporate domains that are key to climate action.

Conclusion: the 2022 report of the Lancet Countdown

In its seventh iteration, the 2022 report of the Lancet Countdown shows the direst findings yet. At 1·1°C of heating, climate change is increasingly undermining every pillar of good health and compounding the health impacts of the current COVID-19 pandemic and geopolitical conflicts. The health harms of extreme heat exposure are rising, affecting mental health, undermining the capacity to work and exercise, and resulting in annual heat-related deaths in people older than 65 years increasing by 68% from 2000–04 to 2017–21 (indicators 1.1.1–1.1.5). more frequent and extreme weather events are increasingly affecting physical and mental health directly and indirectly, with economic losses particularly over-burdening low HDI countries, in which losses are mostly uninsured (indicators 1.2.1–1.2.3 and 4.1.1). The changing climate is exacerbating the risk of infectious disease outbreaks (indicator 1.3) and threatening global food security (panel 5), with heatwave days associated with 98 million more people experiencing food insecurity in 2020 than in 1981–2010 (indicator 1.4).

These health impacts add additional pressure on overwhelmed health systems (panel 7). With a further 0·4°C temperature rise probably unavoidable, accelerated adaptation is more urgent than ever. Yet, national and city authorities are not acting fast enough and adaptation funding remains grossly insufficient (indicators 2.1.1, 2.1.2, and 2.2.4). The increased use of air conditioning and scant implementation of nature-based solutions (indicators 2.2.2–2.2.3) reflects a drift towards unplanned, maladaptive responses. Concerningly, and at least partly caused by wealthier countries’ failure to meet climate their finance commitments (panel 8), the adaptation response is often slower in low HDI countries, increasing their vulnerability to a climate crisis that they have had little, if any, contribution to.

Despite these profound health impacts, mitigation efforts remain inadequate to avert a catastrophic temperature rise. CO2 emissions from fuel combustion increased by 6% in 2021 (indicator 3.1) and agricultural greenhouse gas emissions have increased by 31% since 2000 (indicator 3.5.1). The inaction came with major health costs: fossil fuels contributed to 1·3 million deaths from ambient PM2·5 exposure in 2020; the over-dependence on solid fuels, worsened by the energy crisis, increased exposure to indoor air pollution (indicators 3.3 and 3.2);,, and consumption of carbon-intensive meat and dairy resulted in 2 million deaths in 2019. Meanwhile, governments provide billions of dollars annually for fossil fuel subsidies (indicator 4.2.4).

However, some indicators provide a glimmer of hope. Government engagement with health and climate change reached record levels in 2021, and the updated NDCs reflect increased awareness of the need to protect health from climate change hazards (indicator 5.4). Renewable electricity generation and electric vehicle use reached record growth, and investments and employment in the clean energy industry are slowly increasing (indicators 3.1, 3.4, 4.2.1, and 4.2.2). If sustained, these shifts could provide energy security, better jobs, cleaner air, and a path for a green COVID-19 recovery. Meanwhile, the health sector is increasingly preparing to face climate hazards (indicator 2.2.1), with 60 countries committing to developing climate-resilient and/or low-carbon or net zero-carbon health systems at COP26. An expanding number of countries are starting to develop their own observatories, to monitor and identify progress on health and climate change. However, this could come too little too late.

With countries facing multiple crises simultaneously, their policies on COVID-19 recovery and energy sovereignty will have profound, and potentially irreversible consequences for health and climate change. However, accelerated climate action would deliver cascading benefits, with more resilient health, food, and energy systems, and improved security and diplomatic autonomy, minimising the health impact of health shocks. With the world in turmoil, putting human health at the centre of an aligned response to these concurrent crises could represent the last hope of securing a healthier, safer future for all.

References 309

  1. 1.

    2021 one of the seven warmest years on record, WMO consolidated data shows. 2021.

    Not in our library

  2. 2.

    BC Coroners Service (BCCS) heat-related deaths—knowledge update. 2021.

    Not in our library

  3. 3.

    The probe result on “7·20” torrential rain-caused extraordinarily serious natural disaster in Zhengzhou. 2022.

    Not in our library

  4. 4.

    Harper A. UNHCR warns of dire impact from floods in South Sudan as new wet season looms. 2022.

    Not in our library

  5. 5.

    Global energy review: CO2 emissions in 2021. 2022.

    Not in our library

  6. 6.

    Masson-Delmotte VP, Zhai A, Pirani SL, et al. Working Group I contribution to the IPCC sixth assessment report. 2021.

    Not in our library

  7. 7.

    Global annual to decadal climate update. 2022.

    Not in our library

  8. 8.

    Shukla PR, Skea J, Slade R, et al. Climate change 2022: mitigation of climate change Working Group III contribution to the IPCC sixth assessment report. 2022.

    Not in our library

  9. 9.

    Paris Agreement. 2015.

    Not in our library

  10. 10.

    WHO manifesto for a healthy recovery from COVID-19. 2020.

    Not in our library

  11. 11.
  12. 12.

    Our science. 2021.

    Not in our library

  13. 13.

    Di Napoli C, McGushin A, Romanello M, et al. Tracking the impacts of climate change on human health via indicators: lessons from the Lancet Countdown. BMC Public Health. 2022;22:663.

    Not in our library10.1186/s12889-022-13055-6

  14. 14.

    Vineis P, Romanello M, Michelozzi P, Martuzzi M. Health co-benefits of climate change action in Italy. Lancet Planet Health. 2022;6:e293-94.

    Not in our library10.1016/s2542-5196(22)00061-4

  15. 15.

    The Paris Agreement is a health agreement—WHO. 2018.

    Not in our library

  16. 16.
  17. 17.

    Székely M, Carletto L, Garami A. The pathophysiology of heat exposure. Temperature. 2015;2:452.

    Not in our library10.1080/23328940.2015.1051207

  18. 18.
  19. 19.

    Syed S, O’Sullivan TL, Phillips KP. Extreme heat and pregnancy outcomes: a scoping review of the epidemiological evidence. Int J Environ Res Public Health. 2022;19:2412.

    Not in our library10.3390/ijerph19042412

  20. 20.

    Minor K, Bjerre-Nielsen A, Jonasdottir SS, Lehmann S, Obradovich N. Rising temperatures erode human sleep globally. One Earth. 2022;5:534-49.

    Not in our library

  21. 21.

    Liu J, Varghese BM, Hansen A, et al. Is there an association between hot weather and poor mental health outcomes? A systematic review and meta-analysis. Environ Int. 2021;153:106533.

    Not in our library10.1016/j.envint.2021.106533

  22. 22.

    An R, Shen J, Li Y, Bandaru S. Projecting the influence of global warming on physical activity patterns: a systematic review. Curr Obes Rep. 2020;9:550-61.

    Not in our library10.1007/s13679-020-00406-w

  23. 23.

    Heaney AK, Carrión D, Burkart K, Lesk C, Jack D. Climate change and physical activity: estimated impacts of ambient temperatures on bikeshare usage in New York City. Environ Health Perspect. 2019;127:37002.

    Not in our library10.1289/ehp4039

  24. 24.

    Nazarian N, Liu S, Kohler M, et al. Project Coolbit: can your watch predict heat stress and thermal comfort sensation? Environ Res Lett. 2021;16:034031.

    Not in our library

  25. 25.

    Flouris AD, Dinas PC, Ioannou LG, et al. Workers’ health and productivity under occupational heat strain: a systematic review and meta-analysis. Lancet Planet Health. 2018;2:e521-31.

    Not in our library10.1016/s2542-5196(18)30237-7

  26. 26.

    Obradovich N, Fowler JH. Climate change may alter human physical activity patterns. Nat Hum Behav. 2017;1:0097.

    Not in our library

  27. 27.

    Campbell S, Remenyi TA, White CJ, Johnston FH. Heatwave and health impact research: a global review. Health Place. 2018;53:210-18.

    Not in our library10.1016/j.healthplace.2018.08.017

  28. 28.

    Chersich MF, Pham MD, Areal A, et al. Associations between high temperatures in pregnancy and risk of preterm birth, low birth weight, and stillbirths: systematic review and meta-analysis. BMJ. 2020;371:m3811.

    Not in our library10.1136/bmj.m3811

  29. 29.

    Heatwave scorches the Middle East. 2021.

    Not in our library

  30. 30.

    Southern hemisphere scorchers. 2022.

    Not in our library

  31. 31.

    The state of the global climate 2021. 2021.

    Not in our library

  32. 32.

    de Perez EC, van Aalst M, Bischiniotis K, et al. Global predictability of temperature extremes. Environ Res Lett. 2018;13:054017.

    Not in our library

  33. 33.

    Chambers J. Global and cross-country analysis of exposure of vulnerable populations to heatwaves from 1980 to 2018. Clim Change. 2020;163:539-58.

    Not in our library

  34. 34.
  35. 35.

    Campbell-Lendrum D, Woodruff R. Comparative risk assessment of the burden of disease from climate change. Environ Health Perspect. 2006;114:1935-41.

    Not in our library10.1289/ehp.8432

  36. 36.

    Campbell-Lendrum D, Woodruff R, Prüss-Üstün A, Corvalán C. Climate change: quantifying the health impact at national and local levels. 2007.

    Not in our library

  37. 37.

    van Oldenborgh GJ, Krikken F, Lewis S, et al. Attribution of the Australian bushfire risk to anthropogenic climate change. Nat Hazards Earth Syst Sci Discuss. 2020;2020:1-46.

    Not in our library

  38. 38.

    Abram NJ, Henley BJ, Gupta Sen, et al. Connections of climate change and variability to large and extreme forest fires in southeast Australia. Commun Earth Environ. 2021;2:1-17.

    Not in our library

  39. 39.

    Borchers Arriagada N, Palmer AJ, Bowman DMJS, Morgan GG, Jalaludin BB, Johnston FH. Unprecedented smoke-related health burden associated with the 2019–20 bushfires in eastern Australia. Med J Aust. 2020;213:282-83.

    Not in our library10.5694/mja2.50545

  40. 40.

    Rodney RM, Swaminathan A, Calear AL, et al. Physical and mental health effects of bushfire and smoke in the Australian capital territory 2019–20. Front Public Health. 2021;9:682402.

    Not in our library10.3389/fpubh.2021.682402

  41. 41.

    Biddle N, Edwards B, Makkai T. Wellbeing and the environment—the impact of the bushfires and the pandemic. 2021.

    Not in our library

  42. 42.

    Beggs PJ, Zhang Y, McGushin A, et al. The 2021 report of the MJA–Lancet Countdown on health and climate change: Australia increasingly out on a limb. Med J Aust. 2021;215:390-92.

    Not in our library10.5694/mja2.51302

  43. 43.

    van der Velde IR, van der Werf GR, Houweling S, et al. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite. Nature. 2021;597:366-69.

    Not in our library10.1038/s41586-021-03712-y

  44. 44.

    Otto FEL, Wolski P, Lehner F, et al. Anthropogenic influence on the drivers of the Western Cape drought 2015–2017. Environ Res Lett. 2018;13:124010.

    Not in our library

  45. 45.

    Pascale S, Kapnick SB, Delworth TL, Cooke WF. Increasing risk of another Cape Town “Day Zero” drought in the 21st century. Proc Natl Acad Sci USA. 2020;117:29495-503.

    Not in our library10.1073/pnas.2009144117

  46. 46.

    Orievulu KS, Iwuji CC. Institutional responses to drought in a high HIV prevalence setting in rural South Africa. Int J Environ Res Public Health. 2021;19:434.

    Not in our library10.3390/ijerph19010434

  47. 47.

    Asmall T, Abrams A, Röösli M, Cissé G, Carden K, Dalvie MA. The adverse health effects associated with drought in Africa. Sci Total Environ. 2021;793:148500.

    Not in our library10.1016/j.scitotenv.2021.148500

  48. 48.

    Dinkelman T. Long-run health repercussions of drought shocks: evidence from South African homelands. Econ J (Lond). 2017;127:1906-39.

    Not in our library

  49. 49.

    Kreienkamp F, Philip SY, Tradowsky JS, et al. Rapid attribution of heavy rainfall events leading to the severe flooding in western Europe during July 2021. 2021.

    Not in our library

  50. 50.

    Koks E, Van Ginkel K, Van Marle M, Lemnitzer A. Brief communication: critical infrastructure impacts of the 2021 mid-July western European flood event. Nat Hazards Earth Syst Sci Discuss. 2021.

    Not in our library10.5194/nhess-2021-394

  51. 51.

    Gathen M, Welle K, Jaenisch M, et al. Are orthopaedic surgeons prepared? An analysis of severe casualties from the 2021 flash flood and mudslide disaster in Germany. Eur J Trauma Emerg Surg. 2022.

    Not in our library10.1007/s00068-022-01967-2

  52. 52.

    Weis A-K, Kranz A. Knee-deep in sewage: German rescuers race to avert health emergency in flood areas. 2021.

    Not in our library

  53. 53.

    Sjoukje YP, Sarah FK, Geert Jan van O, et al. Rapid attribution analysis of the extraordinary heatwave on the Pacific Coast of the US and Canada June 2021. 2021.

    Not in our library

  54. 54.

    Heat wave 2021. 2021.

    Not in our library

  55. 55.

    Chief coroner’s statement on public safety during high temperatures. 2021.

    Not in our library

  56. 56.

    Henderson SB, McLean KE, Lee MJ, Kosatsky T. Analysis of community deaths during the catastrophic 2021 heat dome: early evidence to inform the public health response during subsequent events in greater Vancouver, Canada. Environ Epidemiol. 2022;6:e189.

    Not in our library10.1097/ee9.0000000000000189

  57. 57.

    Material and deprivation index.

    Not in our library

  58. 58.

    Schramm PJ, Vaidyanathan A, Radhakrishnan L, Gates A, Hartnett K, Breysse P. Heat-related emergency department visits during the northwestern heat wave—United States, June 2021. MMWR Morb Mortal Wkly Rep. 2021;70:1020-21.

    Not in our library10.15585/mmwr.mm7029e1

  59. 59.

    Cauley JA, Giangregorio L. Physical activity and skeletal health in adults. Lancet Diabetes Endocrinol. 2020;8:150-62.

    Not in our library10.1016/s2213-8587(19)30351-1

  60. 60.

    Myers J. Cardiology patient pages. Exercise and cardiovascular health. Circulation. 2003;107:e2-5.

    Not in our library10.1161/01.cir.0000048890.59383.8d

  61. 61.

    Mikkelsen K, Stojanovska L, Polenakovic M, Bosevski M, Apostolopoulos V. Exercise and mental health. Maturitas. 2017;106:48-56.

    Not in our library10.1016/j.maturitas.2017.09.003

  62. 62.

    Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380:219-29.

    Not in our library10.1016/s0140-6736(12)61031-9

  63. 63.

    Chalmers S, Jay O. Australian community sport extreme heat policies: limitations and opportunities for improvement. J Sci Med Sport. 2018;21:544-48.

    Not in our library10.1016/j.jsams.2018.01.003

  64. 64.

    Day E, Fankhauser S, Kingsmill N, Costa H, Mavrogianni A. Upholding labour productivity under climate change: an assessment of adaptation options. Clim Policy. 2019;19:367-85.

    Not in our library

  65. 65.

    Vicedo-Cabrera AM, Scovronick N, Sera F, et al. The burden of heat-related mortality attributable to recent human-induced climate change. Nat Clim Chang. 2021;11:492-500.

    Not in our library10.1038/s41558-021-01058-x

  66. 66.

    Pörtner H-O, Roberts DC, Tignor MBM, et al. Climate change 2022: impacts, adaptation, and vulnerability. Working Group II contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change. 2022.

    Not in our library

  67. 67.

    Beier D, Brzoska P, Khan MM. Indirect consequences of extreme weather and climate events and their associations with physical health in coastal Bangladesh: a cross-sectional study. Glob Health Action. 2015;8:29016.

    Not in our library10.3402/gha.v8.29016

  68. 68.

    McMichael AJ. Extreme weather events and infectious disease outbreaks. Virulence. 2015;6:543-47.

    Not in our library10.4161/21505594.2014.975022

  69. 69.

    Cruz J, White PCL, Bell A, Coventry PA. Effect of extreme weather events on mental health: a narrative synthesis and meta-analysis for the UK. Int J Environ Res Public Health. 2020;17:E8581.

    Not in our library10.3390/ijerph17228581

  70. 70.

    Global report on internal displacement. 2021.

    Not in our library

  71. 71.

    Kollanus V, Prank M, Gens A, et al. Mortality due to vegetation fire-originated PM2·5 exposure in Europe—assessment for the years 2005 and 2008. Environ Health Perspect. 2017;125:30-37.

    Not in our library10.1289/ehp194

  72. 72.

    Xu R, Yu P, Abramson MJ, et al. Wildfires, global climate change, and human health. N Engl J Med. 2020;383:2173-81.

    Not in our library10.1056/nejmsr2028985

  73. 73.

    Masson-Delmotte V, Zhai P, Pirani A, et al. Climate change 2021: the physical science basis. Working Group I contribution to the sixth assessment report of the Intergovernmental Panel on Climate Change. 2021.

    Not in our library

  74. 74.

    Sofiev M. Developments in Environmental Science. 2013;451-72.

    Not in our library

  75. 75.

    Sofiev M, Vankevich R, Lotjonen M, et al. An operational system for the assimilation of the satellite information on wild-land fires for the needs of air quality modelling and forecasting. Atmos Chem Phys. 2009;9:6833-47.

    Not in our library

  76. 76.

    Sofiev M, Vira J, Kouznetsov R, Prank M, Soares J, Genikhovich E. Construction of an Eulerian atmospheric dispersion model based on the advection algorithm of Michael Galperin. Geosci Model Dev Discuss. 2015;8:3497-522.

    Not in our library

  77. 77.

    Hänninen R, S M, Uppstu A, Kouznetsov R. Daily surface concentration of fire related PM2·5 for 2003–2021, modelled by SILAM CTM when using the MODIS satellite data for the fire radiative power. 2022.

    Not in our library

  78. 78.

    Health implications of drought. 2020.

    Not in our library

  79. 79.

    Beguería S, Vicente-Serrano SM, Reig F, Latorre B. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets, and drought monitoring. Int J Climatol. 2014;34:3001-23.

    Not in our library

  80. 80.

    The United Nations Convention on the Rights of the Child. 1990.

    Not in our library

  81. 81.

    Ebi KL, Vanos J, Baldwin JW, et al. Extreme Weather and climate change: population health and health system implications. Annu Rev Public Health. 2021;42:293-315.

    Not in our library10.1146/annurev-publhealth-012420-105026

  82. 82.

    Obradovich N, Migliorini R, Paulus MP, Rahwan I. Empirical evidence of mental health risks posed by climate change. Proc Natl Acad Sci USA. 2018;115:10953-58.

    Not in our library10.1073/pnas.1801528115

  83. 83.

    Berry HL, Bowen K, Kjellstrom T. Climate change and mental health: a causal pathways framework. Int J Public Health. 2010;55:123-32.

    Not in our library10.1007/s00038-009-0112-0

  84. 84.
  85. 85.

    Mullins JT, White C. Temperature and mental health: evidence from the spectrum of mental health outcomes. J Health Econ. 2019;68:102240.

    Not in our library10.1016/j.jhealeco.2019.102240

  86. 86.

    Florido Ngu F, Kelman I, Chambers J, Ayeb-Karlsson S. Correlating heatwaves and relative humidity with suicide (fatal intentional self-harm. Sci Rep. 2021;11:22175.

    Not in our library10.1038/s41598-021-01448-3

  87. 87.

    Thompson R, Hornigold R, Page L, Waite T. Associations between high ambient temperatures and heat waves with mental health outcomes: a systematic review. Public Health. 2018;161:171-91.

    Not in our library10.1016/j.puhe.2018.06.008

  88. 88.
  89. 89.

    Women at the frontline of climate change: gender risks and hopes. 2011.

    Not in our library

  90. 90.

    OBrien LV, Berry HL, Coleman C, Hanigan IC. Drought as a mental health exposure. Environ Res. 2014;131:181-87.

    Not in our library10.1016/j.envres.2014.03.014

  91. 91.

    Koubi V. Climate Change and Conflict. Annu Rev Polit Sci. 2019;22:343-60.

    Not in our library

  92. 92.

    Theisen OM. Climate change and violence: insights from political science. Curr Clim Change Rep. 2017;3:210-21.

    Not in our library

  93. 93.

    van Daalen KR, Kallesøe SS, Davey F, et al. Extreme events and gender-based violence: a mixed-methods systematic review. Lancet Planet Health. 2022;6:e504-23.

    Not in our library10.1016/s2542-5196(22)00088-2

  94. 94.

    Piguet E, Pécoud A, de Guchteneire P. Migration and climate change: an overview. Refug Surv Q. 2011;30:1-23.

    Not in our library

  95. 95.

    Ayeb-Karlsson S, Kniveton D, Cannon T. Trapped in the prison of the mind: notions of climate-induced (im)mobility decision-making and wellbeing from an urban informal settlement in Bangladesh. Palgr Commun. 2020;6:62.

    Not in our library

  96. 96.

    Ayeb-Karlsson S, Uy N. Island stories: mapping the (im)mobility trends of slow onset environmental processes in three island groups of the Philippines. Humanit Soc Sci Commun. 2022;9:60.

    Not in our library

  97. 97.

    Ayeb-Karlsson S. ‘I do not like her going to the shelter’: stories on gendered disaster (im)mobility and wellbeing loss in coastal Bangladesh. Int J Disaster Risk Reduct. 2020;50:101904.

    Not in our library

  98. 98.

    Cunsolo Willox A, Stephenson E, Allen J, et al. Examining relationships between climate change and mental health in the Circumpolar North. Reg Environ Change. 2015;15:169-82.

    Not in our library

  99. 99.

    Middleton J, Cunsolo A, Jones-Bitton A, Wright CJ, Harper SL. Indigenous mental health in a changing climate: a systematic scoping review of the global literature. Environ Res Lett. 2020;15:053001.

    Not in our library

  100. 100.

    Burke SEL, Sanson AV, Van Hoorn J. The psychological effects of climate change on children. Curr Psychiatry Rep. 2018;20:35.

    Not in our library10.1007/s11920-018-0896-9

  101. 101.

    Cheng JJ, Berry P. Health co-benefits and risks of public health adaptation strategies to climate change: a review of current literature. Int J Public Health. 2013;58:305-11.

    Not in our library10.1007/s00038-012-0422-5

  102. 102.

    Obradovich N, Migliorini R, Mednick SC, Fowler JH. Nighttime temperature and human sleep loss in a changing climate. Sci Adv. 2017;3:e1601555.

    Not in our library10.1126/sciadv.1601555

  103. 103.

    Lawrance E, Thompson R, Fontana G, Jennings N. The impact of climate change on mental health and emotional wellbeing: current evidence and implications for policy and practice. 2021.

    Not in our library

  104. 104.

    Sanson A, Bellemo M. Children and youth in the climate crisis. BJPsych Bull. 2021;45:205-09.

    Not in our library10.1192/bjb.2021.16

  105. 105.

    Review of health in national adaptation plans. 2021.

    Not in our library

  106. 106.

    Mental health ATLAS 2020. 2021.

    Not in our library

  107. 107.

    Wu J, Snell G, Samji H. Climate anxiety in young people: a call to action. Lancet Planet Health. 2020;4:e435-36.

    Not in our library10.1016/s2542-5196(20)30223-0

  108. 108.

    Mental health and climate change: policy brief. 2022.

    Not in our library

  109. 109.

    Obradovich N, Minor K. Identifying and preparing for the mental health burden of climate change. JAMA Psychiatry. 2022;79:285-86.

    Not in our library10.1001/jamapsychiatry.2021.4280

  110. 110.

    Hayes K, Poland B. Addressing mental health in a changing climate: incorporating mental health indicators into climate change and health vulnerability and adaptation assessments. Int J Environ Res Public Health. 2018;15:1806.

    Not in our library10.3390/ijerph15091806

  111. 111.

    Baylis P, Obradovich N, Kryvasheyeu Y, et al. Weather impacts expressed sentiment. PLoS One. 2018;13:e0195750.

    Not in our library10.1371/journal.pone.0195750

  112. 112.

    Gould EA, Higgs S. Impact of climate change and other factors on emerging arbovirus diseases. Trans R Soc Trop Med Hyg. 2009;103:109-21.

    Not in our library10.1016/j.trstmh.2008.07.025

  113. 113.

    Brumfield KD, Usmani M, Chen KM, et al. Environmental parameters associated with incidence and transmission of pathogenic Vibrio spp. Environ Microbiol. 2021;23:7314-40.

    Not in our library10.1111/1462-2920.15716

  114. 114.

    Vezzulli L, Baker-Austin C, Kirschner A, Pruzzo C, Martinez-Urtaza J. Global emergence of environmental non-O1/O139 Vibrio cholerae infections linked with climate change: a neglected research field? Environ Microbiol. 2020;22:4342-55.

    Not in our library10.1111/1462-2920.15040

  115. 115.
  116. 116.

    Gubler DJ. Dengue, urbanization, and globalization: the unholy trinity of the 21(st) century. Trop Med Health. 2011;39(suppl):3-11.

    Not in our library10.2149/tmh.2011-s05

  117. 117.

    Zeng Z, Zhan J, Chen L, Chen H, Cheng S. Global, regional, and national dengue burden from 1990 to 2017: a systematic analysis based on the global burden of disease study 2017. EClinicalMedicine. 2021;32:100712.

    Not in our library10.1016/j.eclinm.2020.100712

  118. 118.

    Baker-Austin C, Oliver JD, Alam M, et al. Vibrio spp infections. Nat Rev Dis Primers. 2018;4:8.

    Not in our library10.1038/s41572-018-0005-8

  119. 119.
  120. 120.

    Lam C, Octavia S, Reeves P, Wang L, Lan R. Evolution of seventh cholera pandemic and origin of 1991 epidemic, Latin America. Emerg Infect Dis. 2010;16:1130-32.

    Not in our library10.3201/eid1607.100131

  121. 121.

    Chang Y, Chatterjee S, Kim J. Household finance and food insecurity. J Fam Econ Issues. 2014;35:499-515.

    Not in our library

  122. 122.

    Botreau H, Cohen MJ. Advances in food security and sustainability. 2020;5:53-117.

    Not in our library

  123. 123.

    Rehman A, Ping Q, Razzaq A. Pathways and associations between women’s land ownership and child food and nutrition security in Pakistan. Int J Environ Res Public Health. 2019;16:3360.

    Not in our library10.3390/ijerph16183360

  124. 124.

    Negesse A, Jara D, Temesgen Habtamu, et al. The impact of being of the female gender for household head on the prevalence of food insecurity in Ethiopia: a systematic-review and meta-analysis. Public Health Rev. 2020;41:15.

    Not in our library10.1186/s40985-020-00131-8

  125. 125.

    Comeau S, Cornwall C, DeCarlo TM, Doo S, Carpenter R, McCulloch M. Resistance to ocean acidification in coral reef taxa is not gained by acclimatization. Nat Clim Chang. 2019;9:477-83.

    Not in our library

  126. 126.

    Barange M, Bahri T, Beveridge MC, Cochrane KL, Funge-Smith S, Poulain F. Impacts of climate change on fisheries and aquaculture: synthesis of currrent knowledge, adaptation, and mitigation options. 2018.

    Not in our library

  127. 127.

    Bruno JF, Côté IM, Toth LT. Climate change, coral loss, and the curious case of the parrotfish paradigm: why don’t marine protected areas improve reef resilience? Annu Rev Mar Sci. 2019;11:307-34.

    Not in our library10.1146/annurev-marine-010318-095300

  128. 128.

    Kraemer BM, Pilla RM, Woolway RI, et al. Climate change drives widespread shifts in lake thermal habitat. Nat Clim Chang. 2021;11:521-29.

    Not in our library

  129. 129.

    Maberly SC, O’Donnell RA, Woolway RI, et al. Global lake thermal regions shift under climate change. Nat Commun. 2020;11:1232.

    Not in our library10.1038/s41467-020-15108-z

  130. 130.

    Watts N, Amann M, Arnell N, et al. The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come. Lancet. 2018;392:2479-514.

    Not in our library10.1016/s0140-6736(18)32594-7

  131. 131.

    Fishery and aquaculture country profiles. 2022.

    Not in our library

  132. 132.

    Global Burden of Disease Study 2019 (GBD 2019) results. 2020.

    Not in our library

  133. 133.

    Cafiero C, Viviani S, Nord M. Food security measurement in a global context: the food insecurity experience scale. Measurement. 2018;116:146-52.

    Not in our library

  134. 134.

    Muñoz-Sabater J, Dutra E, Agustí-Panareda A, et al. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth Syst Sci Data. 2021;13:4349-83.

    Not in our library

  135. 135.

    Report of the World Food Summit. 1996.

    Not in our library

  136. 136.

    Capone R, Bilali H, Debs P, Cardone G, Driouech N. Food system sustainability and food security: connecting the dots. Journal of Food Security. 2014;2:13-22.

    Not in our library

  137. 137.

    Sustainable Development Goal 2: zero hunger.

    Not in our library

  138. 138.

    The state of food security and nutrition in the world 2020. Transforming food systems for affordable healthy diets. 2020.

    Not in our library

  139. 139.
  140. 140.

    Global Report on Food Crises—2022. 2022.

    Not in our library

  141. 141.

    Lobell D, Asseng S. Comparing estimates of climate change impacts from process-based and statistical crop models. Environ Res Lett. 2017;12:015001.

    Not in our library

  142. 142.

    Lobell DB, Schlenker W, Costa-Roberts J. Climate trends and global crop production since 1980. Science. 2011;333:616-20.

    Not in our library10.1126/science.1204531

  143. 143.

    Deutsch CA, Tewksbury JJ, Tigchelaar M, et al. Increase in crop losses to insect pests in a warming climate. Science. 2018;361:916-19.

    Not in our library10.1126/science.aat3466

  144. 144.

    Bebber DP, Ramotowski MAT, Gurr SJ. Crop pests and pathogens move polewards in a warming world. Nat Clim Chang. 2013;3:985-88.

    Not in our library

  145. 145.

    Shrivastava P, Kumar R. Soil salinity: a serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation. Saudi J Biol Sci. 2015;22:123-31.

    Not in our library10.1016/j.sjbs.2014.12.001

  146. 146.

    Somanathan E, Somanathan R, Sudarshan A, Tewari M. The impact of temperature on productivity and labor supply: evidence from indian manufacturing. J Polit Econ. 2021;129:1797-827.

    Not in our library

  147. 147.

    Antonelli C, Coromaldi M, Dasgupta S, Emmerling J, Shayegh S. Climate impacts on nutrition and labor supply disentangled—an analysis for rural areas of Uganda. Environ Dev Econ. 2021;26:512-37.

    Not in our library

  148. 148.

    Kjellstrom T, Freyberg C, Lemke B, Otto M, Briggs D. Estimating population heat exposure and impacts on working people in conjunction with climate change. Int J Biometeorol. 2018;62:291-306.

    Not in our library10.1007/s00484-017-1407-0

  149. 149.

    Diarrhoeal disease. 2017.

    Not in our library

  150. 150.

    Cooper MW, Brown ME, Hochrainer-Stigler S, et al. Mapping the effects of drought on child stunting. Proc Natl Acad Sci USA. 2019;116:17219-24.

    Not in our library10.1073/pnas.1905228116

  151. 151.

    Davenport F, Grace K, Funk C, Shukla S. Child health outcomes in sub-Saharan Africa: a comparison of changes in climate and socio-economic factors. Glob Environ Change. 2017;46:72-87.

    Not in our library

  152. 152.

    Grace K, Davenport F, Funk C, Lerner AM. Child malnutrition and climate in sub-Saharan Africa: an analysis of recent trends in Kenya. Appl Geogr. 2012;35:405-13.

    Not in our library

  153. 153.

    Sabaté J. Environmental nutrition: connecting health and nutrition with environmentally sustainable diets. 2019;285-303.

    Not in our library

  154. 154.
  155. 155.
  156. 156.

    Rust NA, Ridding L, Ward C, et al. How to transition to reduced-meat diets that benefit people and the planet. Sci Total Environ. 2020;718:137208.

    Not in our library10.1016/j.scitotenv.2020.137208

  157. 157.

    Dasgupta S, Robinson EJ. Improving food policies for a climate insecure world: evidence from Ethiopia. Natl Inst Econ Rev. 2021;258:66-82.

    Not in our library

  158. 158.

    Climate change impacts and responses in small-scale irrigation systems in west Africa. 2019.

    Not in our library

  159. 159.

    Adapting to climate change through land and water management in eastern Africa. 2014.

    Not in our library

  160. 160.

    McDermid SS, Mahmood R, Hayes MJ, Bell JE, Lieberman Z. Minimizing trade-offs for sustainable irrigation. Nat Geosci. 2021;14:706-09.

    Not in our library

  161. 161.

    Tesfaye W, Tirivayi N. The impacts of postharvest storage innovations on food security and welfare in Ethiopia. Food Policy. 2018;75:52-67.

    Not in our library

  162. 162.

    Acevedo M, Pixley K, Zinyengere N, et al. A scoping review of adoption of climate-resilient crops by small-scale producers in low-and middle-income countries. Nat Plants. 2020;6:1231-41.

    Not in our library10.1038/s41477-020-00783-z

  163. 163.

    Kalele DN, Ogara WO, Oludhe C, Onono JO. Climate change impacts and relevance of smallholder farmers’ response in arid and semi-arid lands in Kenya. Sci Afr. 2021;12:e00814.

    Not in our library

  164. 164.

    The role of strategic grain reserves in enhancing food security in Zambia and Zimbabwe. 2021.

    Not in our library

  165. 165.

    2021 WHO Health and Climate Change Global Survey report. 2021.

    Not in our library

  166. 166.

    COP26 Health Programme. 2021.

    Not in our library

  167. 167.

    The world’s cities in 2018 data booklet. 2018.

    Not in our library

  168. 168.

    2021 cities climate risk and vulnerability assessments. 2021.

    Not in our library

  169. 169.

    Bouchama A, Dehbi M, Mohamed G, Matthies F, Shoukri M, Menne B. Prognostic factors in heat wave related deaths: a meta-analysis. Arch Intern Med. 2007;167:2170-76.

    Not in our library10.1001/archinte.167.20.ira70009

  170. 170.

    Mastrucci A, Byers E, Pachauri S, Rao ND. Improving the SDG energy poverty targets: residential cooling needs in the Global South. Energy Build. 2019;186:405-15.

    Not in our library

  171. 171.

    Davis L, Gertler P, Jarvis S, Wolfram C. Air conditioning and global inequality. Glob Environ Change. 2021;69:102299.

    Not in our library

  172. 172.

    Waite M, Cohen E, Torbey H, Piccirilli M, Tian Y, Modi V. Global trends in urban electricity demands for cooling and heating. Energy. 2017;127:786-802.

    Not in our library

  173. 173.

    Salamanca F, Georgescu M, Mahalov A, Moustaoui M, Wang M. Anthropogenic heating of the urban environment due to air conditioning. J Geophys Res Atmos. 2014;119:5949-65.

    Not in our library

  174. 174.

    Randazzo T, De Cian E, Mistry MN. Air conditioning and electricity expenditure: the role of climate in temperate countries. Econ Model. 2020;90:273-87.

    Not in our library

  175. 175.

    Kouis P, Psistaki K, Giallouros G, et al. Heat-related mortality under climate change and the impact of adaptation through air conditioning: a case study from Thessaloniki, Greece. Environ Res. 2021;199:111285.

    Not in our library10.1016/j.envres.2021.111285

  176. 176.

    Stone B, Mallen E, Rajput M, et al. Compound climate and infrastructure events: how electrical grid failure alters heat wave risk. Environ Sci Technol. 2021;55:6957-64.

    Not in our library10.1021/acs.est.1c00024

  177. 177.

    Delmastro C, Abergel T, Lane K, Monschauer Y. Cooling. 2021.

    Not in our library

  178. 178.
  179. 179.

    Ebi KL, Capon A, Berry P, et al. Hot weather and heat extremes: health risks. Lancet. 2021;398:698-708.

    Not in our library10.1016/s0140-6736(21)01208-3

  180. 180.

    Jay O, Capon A, Berry P, et al. Reducing the health effects of hot weather and heat extremes: from personal cooling strategies to green cities. Lancet. 2021;398:709-24.

    Not in our library10.1016/s0140-6736(21)01209-5

  181. 181.

    Anderson GB, Bell ML. Lights out: impact of the August 2003 power outage on mortality in New York, NY. Epidemiology. 2012;23:189-93.

    Not in our library10.1097/ede.0b013e318245c61c

  182. 182.

    Grocholski B. Cooling in a warming world. Science. 2020;370:776-77.

    Not in our library10.1126/science.abf1931

  183. 183.

    Wang C, Wang Z-H, Yang J. Cooling effect of urban trees on the built environment of contiguous United States. Earths Futur. 2018;6:1066-81.

    Not in our library

  184. 184.

    Thermal environmental conditions for human occupancy. 2017.

    Not in our library

  185. 185.

    Malik A, Bongers C, McBain B, et al. The potential for indoor fans to change air conditioning use while maintaining human thermal comfort during hot weather: an analysis of energy demand and associated greenhouse gas emissions. Lancet Planet Health. 2022;6:e301-09.

    Not in our library10.1016/s2542-5196(22)00042-0

  186. 186.

    Foster J, Smallcombe JW, Hodder S, Jay O, Flouris AD, Havenith G. Quantifying the impact of heat on human physical work capacity; part II: the observed interaction of air velocity with temperature, humidity, sweat rate, and clothing is not captured by most heat stress indices. Int J Biometeorol. 2022;66:507-20.

    Not in our library10.1007/s00484-021-02212-y

  187. 187.

    Morris NB, English T, Hospers L, Capon A, Jay O. The effects of electric fan use under differing resting heat index conditions: a clinical trial. Ann Intern Med. 2019;171:675-77.

    Not in our library10.7326/m19-0512

  188. 188.

    Morris NB, Chaseling GK, English T, et al. Electric fan use for cooling during hot weather: a biophysical modelling study. Lancet Planet Health. 2021;5:e368-77.

    Not in our library10.1016/s2542-5196(21)00136-4

  189. 189.

    Narayanan R, Halawa E, Jain S. Dehumidification potential of a solid desiccant based evaporative cooling system with an enthalpy exchanger operating in subtropical and tropical climates. Energies. 2019;12:2704.

    Not in our library

  190. 190.

    Morris NB, Gruss F, Lempert S, et al. A preliminary study of the effect of dousing and foot immersion on cardiovascular and thermal responses to extreme heat. JAMA. 2019;322:1411-13.

    Not in our library10.1001/jama.2019.13051

  191. 191.

    Cramer MN, Huang M, Moralez G, Crandall CG. Keeping older individuals cool in hot and moderately humid conditions: wetted clothing with and without an electric fan. J Appl Physiol. 2020;128:604-11.

    Not in our library10.1152/japplphysiol.00786.2019

  192. 192.

    Giesbrecht GG, Wu MP, White MD, Johnston CE, Bristow GK. Isolated effects of peripheral arm and central body cooling on arm performance. Aviat Space Environ Med. 1995;66:968-75.

    Not in our library

  193. 193.

    Gago EJ, Roldan J, Pacheco-Torres R, Ordóñez J. The city and urban heat islands: a review of strategies to mitigate adverse effects. Renew Sustain Energy Rev. 2013;25:749-58.

    Not in our library

  194. 194.

    Astell-Burt T, Hartig T, Eckermann S, et al. More green, less lonely? A longitudinal cohort study. Int J Epidemiol. 2022;51:99-110.

    Not in our library10.1093/ije/dyab089

  195. 195.

    Callaghan A, McCombe G, Harrold A, et al. The impact of green spaces on mental health in urban settings: a scoping review. J Ment Health. 2021;30:179-93.

    Not in our library10.1080/09638237.2020.1755027

  196. 196.

    Report of the member states Working Group on strengthening WHO preparedness and response to health emergencies to the special session of the World Health Assembly. 2021.

    Not in our library

  197. 197.

    Strengthening preparedness for health emergencies: implementation of the International Health Regulations (2005). 2021.

    Not in our library

  198. 198.

    International Health Regulations (2005). 2008.

    Not in our library

  199. 199.
  200. 200.

    Dengue and severe dengue. 2022.

    Not in our library

  201. 201.

    Wilder-Smith A, Lindsay SW, Scott TW, Ooi EE, Gubler DJ, Das P. The Lancet Commission on dengue and other Aedes-transmitted viral diseases. Lancet. 2020;395:1890-91.

    Not in our library10.1016/s0140-6736(20)31375-1

  202. 202.

    Chovatiya M, Dhameliya A, Deokar J, Gonsalves J, Mathur A. Prediction of dengue using recurrent neural network. 2019.

    Not in our library10.1109/icoei.2019.8862581

  203. 203.

    Carabali M, Hernandez LM, Arauz MJ, Villar LA, Ridde V. Why are people with dengue dying? A scoping review of determinants for dengue mortality. BMC Infect Dis. 2015;15:301.

    Not in our library10.1186/s12879-015-1058-x

  204. 204.

    Nolte E, McKee M. Measuring the health of nations: analysis of mortality amenable to health care. BMJ. 2003;327:1129.

    Not in our library10.1136/bmj.327.7424.1129

  205. 205.

    WMO Atlas of mortality and economic losses from weather, climate and water extremes (1970–2019). 2021.

    Not in our library

  206. 206.

    EM-DAT The International Disaster Database. 2022.

    Not in our library

  207. 207.

    Sendai framework for disaster risk reduction 2015–2030. 2015.

    Not in our library

  208. 208.

    Zaidi RZ, Fordham M. The missing half of the Sendai framework: gender and women in the implementation of global disaster risk reduction policy. Prog Disaster Sci. 2021;10:100170.

    Not in our library

  209. 209.

    Le Bars D, Drijfhout S, de Vries H. A high-end sea level rise probabilistic projection including rapid Antarctic ice sheet mass loss. Environ Res Lett. 2017;12:044013.

    Not in our library

  210. 210.

    Bakker AMR, Wong TE, Ruckert KL, Keller K. Sea-level projections representing the deeply uncertain contribution of the West Antarctic ice sheet. Sci Rep. 2017;7:3880.

    Not in our library10.1038/s41598-017-04134-5

  211. 211.

    Melet A, Meyssignac B, Almar R, Le Cozannet G. Under-estimated wave contribution to coastal sea-level rise. Nat Clim Chang. 2018;8:234-39.

    Not in our library

  212. 212.

    Kirezci E, Young IR, Ranasinghe R, et al. Projections of global-scale extreme sea levels and resulting episodic coastal flooding over the 21st Century. Sci Rep. 2020;10:11629.

    Not in our library10.1038/s41598-020-67736-6

  213. 213.

    Vineis P, Chan Q, Khan A. Climate change impacts on water salinity and health. J Epidemiol Glob Health. 2011;1:5-10.

    Not in our library10.1016/j.jegh.2011.09.001

  214. 214.

    Dvorak AC, Solo-Gabriele HM, Galletti A, et al. Possible impacts of sea level rise on disease transmission and potential adaptation strategies, a review. J Environ Manage. 2018;217:951-68.

    Not in our library10.1016/j.jenvman.2018.03.102

  215. 215.

    Emissions Gap Report 2021. 2021.

    Not in our library

  216. 216.

    Global energy review 2021: CO2 emissions rebound sharply to highest ever level. 2021.

    Not in our library

  217. 217.

    NDC synthesis report. 2021.

    Not in our library

  218. 218.

    Hamilton I, Kennard H, McGushin A, et al. The public health implications of the Paris Agreement: a modelling study. Lancet Planet Health. 2021;5:e74-83.

    Not in our library10.1016/s2542-5196(20)30249-7

  219. 219.

    Sachs JD, Woo WT, Yoshino N, Taghizadeh-Hesary F, Chander P, Quah E. Handbook of green finance. 2019.

    Not in our library

  220. 220.

    Greenhouse gas emissions from energy: overview. 2021.

    Not in our library

  221. 221.

    Renewable energy market update 2021. 2021.

    Not in our library

  222. 222.

    Cronk R, Bartram J. Environmental conditions in health care facilities in low- and middle-income countries: coverage and inequalities. Int J Hyg Environ Health. 2018;221:409-22.

    Not in our library10.1016/j.ijheh.2018.01.004

  223. 223.

    Access to electricity. 2021.

    Not in our library

  224. 224.

    Household air pollution and health. WHO fact sheets. 2021.

    Not in our library

  225. 225.

    Global status report for buildings and construction: towards a zeroemission, efficient and resilient buildings and construction sector. 2021.

    Not in our library

  226. 226.

    Household air pollution attributable death rate (per 100 000 population). 2022.

    Not in our library

  227. 227.

    Shupler M, Godwin W, Frostad J, Gustafson P, Arku RE, Brauer M. Global estimation of exposure to fine particulate matter (PM2·5) from household air pollution. Environ Int. 2018;120:354-63.

    Not in our library10.1016/j.envint.2018.08.026

  228. 228.

    WHO global air quality guidelines: particulate matter (PM2·5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. 2021.

    Not in our library

  229. 229.

    The Sustainable Development Goals report 2021. 2021.

    Not in our library

  230. 230.

    Birol F. The future of cooling: opportunities for energy-efficient air conditioning. 2018.

    Not in our library

  231. 231.

    Shupler M, Mwitari J, Gohole A, et al. COVID-19 impacts on household energy & food security in a Kenyan informal settlement: the need for integrated approaches to the SDGs. Renew Sustain Energy Rev. 2021;144:111018.

    Not in our library10.1016/j.rser.2021.111018

  232. 232.

    Global impact of war in Ukraine on food, energy, and finance systems. 2022.

    Not in our library

  233. 233.

    Tollefson J. What the war in Ukraine means for energy, climate, and food. Nature. 2022;604:232-33.

    Not in our library10.1038/d41586-022-00969-9

  234. 234.
  235. 235.
  236. 236.

    Tracking Transport 2021. 2021.

    Not in our library

  237. 237.

    Paoli L, Gül T. Electric cars fend off supply challenges to more than double global sales. 2022.

    Not in our library

  238. 238.

    Electric vehicles. 2021.

    Not in our library

  239. 239.
  240. 240.

    Stankov I, Garcia LMT, Mascolli MA, et al. A systematic review of empirical and simulation studies evaluating the health impact of transportation interventions. Environ Res. 2020;186:109519.

    Not in our library10.1016/j.envres.2020.109519

  241. 241.

    Mobility Trends Report. 2022.

    Not in our library

  242. 242.

    Crippa M, Solazzo E, Guizzardi D, Monforti-Ferrario F, Tubiello FN, Leip A. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat Food. 2021;2:198-209.

    Not in our library10.1038/s43016-021-00225-9

  243. 243.
  244. 244.

    Herrero M, Havlík P, Valin H, et al. Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems. Proc Natl Acad Sci USA. 2013;110:20888-93.

    Not in our library10.1073/pnas.1308149110

  245. 245.
  246. 246.

    Wang DD, Li Y, Afshin A, et al. global improvement in dietary quality could lead to substantial reduction in premature death. J Nutr. 2019;149:1065-74.

    Not in our library10.1093/jn/nxz010

  247. 247.

    COP26 health programme. Country commitments. 2022.

    Not in our library

  248. 248.

    Expert meeting on measuring greenhouse gas emissions and other environmental sustainability concerns in health care facilities. 2021.

    Not in our library

  249. 249.

    Buchner B, Naran B, Fernandes P, et al. Global landscape of climate finance. 2021.

    Not in our library

  250. 250.

    Net zero by 2050: a roadmap for the global energy sector. 2021.

    Not in our library

  251. 251.

    Sigma explorer. 2022.

    Not in our library

  252. 252.

    Agricultural workers and their contributions to sustainable agriculture and rural development. 2007.

    Not in our library

  253. 253.

    Rodriguez La, Carmen S. Too many agricultural workers can’t afford to eat, UN says. 2018.

    Not in our library

  254. 254.

    The living standards measurement study: agricultural labor. 2022.

    Not in our library

  255. 255.

    World energy investment 2022. 2022.

    Not in our library

  256. 256.

    Finkelman RB, Wolfe A, Hendryx MS. The future environmental and health impacts of coal. Energy Geoscience. 2021;2:99-112.

    Not in our library

  257. 257.

    Renewable energy: a gender perspective. 2019.

    Not in our library

  258. 258.

    Hunt C, Weber O. Fossil fuel divestment strategies: financial and carbon-related consequences. Organ Environ. 2019;32:41-61.

    Not in our library

  259. 259.

    Plantinga A, Scholtens B. The financial impact of fossil fuel divestment. Clim Policy. 2021;21:107-19.

    Not in our library

  260. 260.

    Younger SD, Osei-Assibey E, Oppong F. Fiscal incidence in Ghana. Rev Dev Econ. 2017;21:e47-66.

    Not in our library10.1111/rode.12299

  261. 261.

    Financing for Sustainable Development Report 2020. 2020.

    Not in our library

  262. 262.

    Stadler K, Wood R, Bulavskaya T, et al. EXIOBASE 3: developing a time series of detailed environmentally extended multi-regional input–output tables. J Ind Ecol. 2018;22:502-15.

    Not in our library10.1111/jiec.12658

  263. 263.

    Friedlingstein P, Jones MW, O’Sullivan M, et al. Global carbon budget 2021. Earth System Science Data Discussions. 2021;2021:1-191.

    Not in our library

  264. 264.

    Amann M, Bertok I, Borken-Kleefeld J, et al. Cost-effective control of air quality and greenhouse gases in Europe: modeling and policy applications. Environ Model Softw. 2011;26:1489-501.

    Not in our library

  265. 265.

    Welsby D, Price J, Pye S, Ekins P. Unextractable fossil fuels in a 1·5 °C world. Nature. 2021;597:230-34.

    Not in our library10.1038/s41586-021-03821-8

  266. 266.

    Who has contributed most to global CO2 emissions? 2019.

    Not in our library

  267. 267.

    Copenhagen Accord. 2009.

    Not in our library

  268. 268.

    Ares E, Loft P. COP26: delivering on $100 billion climate finance. 2021.

    Not in our library

  269. 269.

    O’Callaghan B, Yau N, Murdock E, et al. Global Recovery Observatory. 2021.

    Not in our library

  270. 270.

    Cissé G, McLeman R, Adams H, Pörtner H-O, Roberts DC, Tignor MBM, et al. Climate change 2022: impacts, adaptation, and vulnerability. Working Group II contribution to the Intergovernmental Panel on Climate Change sixth assessment report. 2022.

    Not in our library

  271. 271.

    COP26 special report on climate change and health: the health argument for climate action. 2021.

    Not in our library

  272. 272.

    Emissions gap report 2020. 2020.

    Not in our library

  273. 273.

    Birkmann J, Liwenga E, Pandey R, Oki T, Rivera-Ferre MG, Zatari T, et al. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. 2022.

    Not in our library

  274. 274.

    Chancel L. Climate change & the global inequality of carbon emissions, 1990–2020. World Inequality Database. 2021.

    Not in our library

  275. 275.

    Trisos CH, Adelekan IO, Totin E, Howden SM, Scholes RJ, Yanda P, et al. Climate Change 2022: impacts, adaptation, and vulnerability Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.

    Not in our library

  276. 276.

    The sixth carbon budget: the UK’s path to net zero. 2020.

    Not in our library

  277. 277.

    Carvalho A, Van Wessel M, Maeseele P. Communication practices and political engagement with climate change: a research agenda. Environ Commun. 2017;11:122-35.

    Not in our library

  278. 278.

    Sixty-first World Health Assembly. 2008.

    Not in our library

  279. 279.

    Newman N, Fletcher R, Schulz A, Andi S, Nielsen RK. Digital News Report. 2020.

    Not in our library

  280. 280.

    Reuters Institute digital news report 2021. 2021.

    Not in our library

  281. 281.

    Carvalho A. Media(ted) discourses and climate change: a focus on political subjectivity and (dis)engagement. Wiley Interdiscip Rev Clim Change. 2010;1:172-79.

    Not in our library

  282. 282.

    Rogstad I. Is Twitter just rehashing? Intermedia agenda setting between Twitter and mainstream media. J Inf Technol Polit. 2016;13:142-58.

    Not in our library

  283. 283.

    Wikimedia statistics. 2022.

    Not in our library

  284. 284.

    Smith DA. Situating Wikipedia as a health information resource in various contexts: a scoping review. PLoS One. 2020;15:e0228786.

    Not in our library10.1371/journal.pone.0228786

  285. 285.

    Qaiser F. Like Zika, the public is heading to Wikipedia during the COVID-19 coronavirus pandemic. 2020.

    Not in our library

  286. 286.

    Schroeder R, Taylor L. Big data and Wikipedia research: social science knowledge across disciplinary divides. Inf Commun Soc. 2015;18:1039-56.

    Not in our library

  287. 287.

    Mesgari M, Okoli C, Mehdi M, Nielsen FÅ, Lanamäki A. “The sum of all human knowledge”: a systematic review of scholarly research on the content of Wikipedia. J Assoc Inf Sci Technol. 2015;66:219-45.

    Not in our library

  288. 288.

    Teplitskiy M, Lu G, Duede E. Amplifying the impact of open access: Wikipedia and the diffusion of science. J Assoc Inf Sci Technol. 2017;68:2116-27.

    Not in our library

  289. 289.

    Okoli C, Mehdi M, Mesgari M, Nielsen FÅ, Lanamäki A. Wikipedia in the eyes of its beholders: a systematic review of scholarly research on Wikipedia readers and readership. J Assoc Inf Sci Technol. 2014;65:2381-403.

    Not in our library

  290. 290.

    Most popular edition of Wikipedia by country. 2022.

    Not in our library

  291. 291.

    Wikipedia page views by language over time. 2022.

    Not in our library

  292. 292.

    Bornmann L. Scientific peer review. Annu Rev Inform Sci Tech. 2011;45:197-245.

    Not in our library

  293. 293.

    Berrang-Ford L, Sietsma AJ, Callaghan M, et al. Systematic mapping of global research on climate and health: a machine learning review. Lancet Planet Health. 2021;5:e514-25.

    Not in our library10.1016/s2542-5196(21)00179-0

  294. 294.

    Callaghan MW, Minx JC, Forster PM. A topography of climate change research. Nat Clim Chang. 2020;10:118-23.

    Not in our library

  295. 295.

    Bulkeley H, Newell P. Governing climate change. 2015.

    Not in our library

  296. 296.

    Peterson M. International Organization and Global Governance. 2018;236-249.

    Not in our library

  297. 297.

    United Nations Framework Convention on Climate Change (UNFCCC). 1992.

    Not in our library

  298. 298.

    Baturo A, Dasandi N, Mikhaylov SJ. Understanding state preferences with text as data: introducing the UN General Debate corpus. Research & Politics. 2017;4:2053168017712821.

    Not in our library

  299. 299.

    Dasandi N, Graham H, Lampard P, Jankin Mikhaylov S. Engagement with health in national climate change commitments under the Paris Agreement: a global mixed-methods analysis of the nationally determined contributions. Lancet Planet Health. 2021;5:e93-101.

    Not in our library10.1016/s2542-5196(20)30302-8

  300. 300.

    Dasandi N, Graham H, Lampard P, Jankin Mikhaylov S. Intergovernmental engagement on health impacts of climate change. Bull World Health Organ. 2021;99:102-11B.

    Not in our library10.2471/blt.20.270033

  301. 301.

    NDC Registry (interim).

    Not in our library

  302. 302.

    Seventy-sixth session. Agenda item 8. General debate. 2021.

    Not in our library

  303. 303.

    Albania revised NDC. 2021.

    Not in our library

  304. 304.

    The United Nations Global Compact.

    Not in our library

  305. 305.

    Podrecca M, Sartor M, Nassimbeni G. United Nations Global Compact: where are we going? Soc Responsib J. 2021;18:984-1003.

    Not in our library

  306. 306.

    Rasche A, Gwozdz W, Lund Larsen M, Moon J. Which firms leave multi-stakeholder initiatives? An analysis of delistings from the United Nations Global Compact. Regul Gov. 2022;16:309-26.

    Not in our library

  307. 307.

    McIver L, Kim R, Woodward A, et al. Health impacts of climate change in Pacific Island countries: a regional assessment of vulnerabilities and adaptation priorities. Environ Health Perspect. 2016;124:1707-14.

    Not in our library10.1289/ehp.1509756

  308. 308.

    Tukuitonga C, Vivili P. Climate effects on health in Small Islands Developing States. Lancet Planet Health. 2021;5:e69-70.

    Not in our library10.1016/s2542-5196(21)00004-8

  309. 309.

    World energy outlook 2021. 2021.

    Not in our library

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