Applied Mathematics

Volume 14, Issue 7 (July 2023)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

Modeling the Infection Disease (Covid-19) and the Effect of Vaccination

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DOI: 10.4236/am.2023.147027    113 Downloads   797 Views  Citations
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ABSTRACT

In this paper we provide different types of approach in mathematical biology about infection disease and understanding the dynamic of epidemic mathematical models specially in COVID-19 disease which first outbroke in China and fast spread around the world. We work in the connection between the mathematical models and the solution analytically and numerically. At first, we emphasize the Susceptible-Infectious-Recovered (SIR) models’ extension for policy significance. Then, we found the improved SIER model done by research. In third section, we examine the improved model when an appropriate vaccine has been found, we introduce the model of SIR with vaccine term which ends up with discussion and conclusion about the effect of vaccinate. The comprehension of COVID-19 transmission methods, structures, and characteristics is greatly aided by these mathematical models analytically and numerically.

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Alzubadi, H. (2023) Modeling the Infection Disease (Covid-19) and the Effect of Vaccination. Applied Mathematics, 14, 437-449. doi: 10.4236/am.2023.147027.

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