A Profile of eHealth Behaviors in China: Results From a National Survey Show a Low of Usage and Significant Digital Divide

References 12

1. 1.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

2. 2.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

3. 3.
   Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? · 2014

   No notice
4. 4.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

5. 5.
   Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012 · 2014

   No notice
6. 6.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

7. 7.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

8. 8.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

9. 9.
   Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies · 2017

   No notice
10. 10.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

11. 11.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

12. 12.
    The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications · 2017

    No notice

Reads

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.