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A Compartmental Mathematical Model of Novel Coronavirus-19 Transmission Dynamics |
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PP: 1367-1379 |
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doi:10.18576/amis/180616
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Author(s) |
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Getachew Beyecha Batu,
Eshetu Dadi Gurmu,
P. Veeresha,
Mohamed Hafez Ahmed,
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Abstract |
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| The COVID-19 pandemic has spread quickly throughout the world, posing a serious threat to human-to-human transmission. The novel coronavirus pandemic is described quantitatively in this paper using a mathematical model of COVID-19 driven by a system of ordinary differential equations. The suggested model is used to provide predictions regarding the behavior of a COVID-19 outbreak over a shorter time frame. It is demonstrated that the system of model equations has a unique and existing solution. Furthermore, the answer is positive and bounded. Thus, it is argued that the model created and discussed in this work is both mathematically and biologically sound. A threshold parameter that controls the disease transmission is used in a qualitative analysis of the model to confirm the existence and stability of disease-free and endemic equilibrium points. Additionally, the key parameters undergo sensitivity analysis to ascertain their relative significance and potential influence on the COVID-19 virus dynamics.
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