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A Mathematical Model of COVID-19: Analysis and Identification of Parameters for Better Decision Making

A Mathematical Model of COVID-19: Analysis and Identification of Parameters for Better Decision Making
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摘要 Since the onset of the COVID-19 epidemic, the world has been impressed by two things: The number of people infected and the number of deaths. Here, we propose a mathematical model of the spread of this disease, analyze this model mathematically and determine one or more dominant factors in the propagation of the COVID-19 epidemic. We consider the S-E-I-R epidemic model in the form of ordinary differential equations, in a population structured in susceptibles S, exposed E as caregivers, travelers and assistants at public events, infected I and recovered R classes. Here we decompose the recovered class into two classes: The deaths class D and the class of those who are truly healed H. After the model construction, we have calculated the basic reproduction number R<sub>0</sub>, which is a function of certain number of parameters like the size of the exposed class E. In our paper, the mathematical analysis, which consists in searching the equilibrium points and studying their stability, is done. The work identifies some parameters on which one can act to control the spread of the disease. The numerical simulations are done and they illustrate our theoretical analysis. Since the onset of the COVID-19 epidemic, the world has been impressed by two things: The number of people infected and the number of deaths. Here, we propose a mathematical model of the spread of this disease, analyze this model mathematically and determine one or more dominant factors in the propagation of the COVID-19 epidemic. We consider the S-E-I-R epidemic model in the form of ordinary differential equations, in a population structured in susceptibles S, exposed E as caregivers, travelers and assistants at public events, infected I and recovered R classes. Here we decompose the recovered class into two classes: The deaths class D and the class of those who are truly healed H. After the model construction, we have calculated the basic reproduction number R<sub>0</sub>, which is a function of certain number of parameters like the size of the exposed class E. In our paper, the mathematical analysis, which consists in searching the equilibrium points and studying their stability, is done. The work identifies some parameters on which one can act to control the spread of the disease. The numerical simulations are done and they illustrate our theoretical analysis.
作者 Ouaténi Diallo Yaya Kone Chata Sanogo Jér&#244 me Pousin Ouaténi Diallo;Yaya Kone;Chata Sanogo;Jér&#244;me Pousin(Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Bamako, Mali;Institut Camille Jordan, INSA, Lyon, France)
出处 《Applied Mathematics》 2022年第2期205-214,共10页 应用数学(英文)
关键词 COVID-19 Mathematical Model R<sub>0</sub> SPREAD Control Parameters Malian Data COVID-19 Mathematical Model R<sub>0</sub> Spread Control Parameters Malian Data
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