A new mathematical model of COVID-19 using real data from Pakistan

Basic reproduction number Epidemic model
DOI: 10.1016/j.rinp.2021.104098 Publication Date: 2021-03-31T18:13:00Z
ABSTRACT
We propose a new mathematical model to investigate the recent outbreak of coronavirus disease (COVID-19). The is studied qualitatively using stability theory differential equations and basic reproductive number that represents an epidemic indicator obtained from largest eigenvalue next-generation matrix. global asymptotic conditions for free equilibrium are obtained. real COVID-19 incidence data entries 01 July, 2020 14 August, in country Pakistan used parameter estimation thereby getting fitted values biological parameters. Sensitivity analysis performed order determine most sensitive parameters proposed model. To view more features state variables model, we perform numerical simulations by different some essential Moreover, profiles reproduction through contour plots have been biologically explained.
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