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Mathematical modeling of corona virus (COVID-19) and stability analysis

Author

Listed:
  • Zain Ul Abadin Zafar
  • Nigar Ali
  • Mustafa Inc
  • Zahir Shah
  • Samina Younas

Abstract

In this paper, the mathematical modeling of the novel corona virus (COVID-19) is considered. A brief relationship between the unknown hosts and bats is described. Then the interaction among the seafood market and peoples is studied. After that, the proposed model is reduced by assuming that the seafood market has an adequate source of infection that is capable of spreading infection among the people. The reproductive number is calculated and it is proved that the proposed model is locally asymptotically stable when the reproductive number is less than unity. Then, the stability results of the endemic equilibria are also discussed. To understand the complex dynamical behavior, fractal-fractional derivative is used. Therefore, the proposed model is then converted to fractal-fractional order model in Atangana-Baleanu (AB) derivative and solved numerically by using two different techniques. For numerical simulation Adam-Bash Forth method based on piece-wise Lagrangian interpolation is used. The infection cases for Jan-21, 2020, till Jan-28, 2020 are considered. Then graphical consequences are compared with real reported data of Wuhan city to demonstrate the efficiency of the method proposed by us.

Suggested Citation

  • Zain Ul Abadin Zafar & Nigar Ali & Mustafa Inc & Zahir Shah & Samina Younas, 2023. "Mathematical modeling of corona virus (COVID-19) and stability analysis," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 26(10), pages 1114-1133, July.
    • Handle: RePEc:taf:gcmbxx:v:26:y:2023:i:10:p:1114-1133
    DOI: 10.1080/10255842.2022.2109020
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