Analysis and dynamics of fractional order Covid-19 model with memory effect

The present article attempts to examine fractional order Covid-19 model by employing an efficient and powerful analytical scheme termed as q-homotopy analysis Sumudu transform method (q-HASTM). The q-HASTM is the hybrid scheme based on q-HAM and Sumudu transform technique. Liouville-Caputo approach of the fractional operator has been employed. The proposed modelis also examined numerically via generalized Adams-Bashforth-Moulton method. We determined model equilibria and also give their stability analysis by employing next generation matrix and fractional Routh-Hurwitz stability criterion.

Abstract licence: CC BY-NC-ND

1. 56.

   A pneumonia outbreak associated with a new coronavirus of probable bat origin · 2020

2. 57.

   A mathematical model for simulating the phase-based transmissibility of a novel coronavirus · 2020

3. 58.

   Community Transmission of Severe Acute Respiratory Syndrome Coronavirus 2, Shenzhen, China, 2020 · 2020

4. 60.

   The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status · 2020

74 more references, whose wording the paper’s licence keeps private.

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.