Dynamical Transmission of Coronavirus Model With Analysis and Simulation

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Abstract

COVID-19 acts as a serious challenge to the whole world. Epidemiological data of COVID-19 is collected through media and web sources to analyze and investigate a system of nonlinear ordinary differential equation to understand the outbreaks of this epidemic disease. We analyze the diseases free and endemic equilibrium point including stability of the model. The certain threshold value of the basic reproduction number R-0 is found to observe whether population is in disease free state or endemic state. Moreover, the epidemic peak has been obtained and we expect a considerable number of cases. Finally, some numerical results are presented which show the effect of parameters estimation and different step size on our obtained solutions at the real data of some countries to check the actual behavior of the COVID-19 at different countries.

Description

Farman, Dr. Muhamamd/0000-0001-7616-0500; Saleem, Prof. Dr. Muhammad Umer/0000-0002-2263-3373

Keywords

Epidemic Model, Covid-19, Parameter Estimation, Reproductive Number, Stability Analysis, reproductive number, Epidemic model, COVID-19, parameter estimation, stability analysis

Fields of Science

03 medical and health sciences, 0302 clinical medicine, 0103 physical sciences, 01 natural sciences

Citation

Farman, Muhammad...et al. (2021). "Dynamical Transmission of Coronavirus Model with Analysis and Simulation", CMES-Computer Modeling in Engineering & Sciences, Vol .127, No. 2, pp 753-769.

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14

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127

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2

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753

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769
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Scopus : 33

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33

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29

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2

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