"A Fractional Variable Order Model of COVID-19 Pandemic" by Nasser Sweilam, Mohamed Khalil et al.

Progress in Fractional Differentiation & Applications

Article Title

A Fractional Variable Order Model of COVID-19 Pandemic

Authors

Nasser Sweilam, Department of Mathematics, Faculty of Science, Cairo University, Giza, EgyptFollow
Mohamed Khalil, Department of Mathematics, Faculty of Engineering, October University for Modern Sciences and Arts (MSA), Giza, EgyptFollow
Amaal Sayed, Department of Mathematics, Faculty of Engineering and Applied Sciences, Nile University (NU), Giza, EgyptFollow

Author Country (or Countries)

Egypt

Abstract

2020 has witnessed a rapidly spread pandemic COVID-19 which is one of the worst in the history of mankind. Scientists believe that COVID-19 spreads mainly from a person to another. Recent researches consider bats as a vector for COVID-19. This paper suggests a variable fractional order model for COVID-19 to figure out how bats and hosts interact, and how the seafood market affect people. The proposed model assumes that infection cannot be recovered. The basic reproduction number R0 for real data on reported cases in Wuhan China was computed. Disease-free equilibrium points and proposed model stability are studied.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/pfda/080409

Recommended Citation

Sweilam, Nasser; Khalil, Mohamed; and Sayed, Amaal (2022) "A Fractional Variable Order Model of COVID-19 Pandemic," Progress in Fractional Differentiation & Applications: Vol. 8: Iss. 4, Article 9.
DOI: http://dx.doi.org/10.18576/pfda/080409
Available at: https://digitalcommons.aaru.edu.jo/pfda/vol8/iss4/9

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