Title : ( SEIaIsQRS mathematical epidemic model for Covid- 19 by using compartmental analysis and numerical simulation )
Authors: Hossein Gholami Chahkand , Mortaza Gachpazan , Majid Erfanian ,
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Abstract
In this paper we developed a SEIaIsQRS epidemic model for Covid- 19 by using compartmental analysis. We know the disease-related death it can be dependent on the following reasons: model, total population size of infected of virus, the spread and prevalence of the disease, and access to health facilities. In this work the stability of the model is analyzed in the equilibria, after obtaining some basic properties of the model. To finish, we have confirmed our theoretical results by a numerical simulation.
Keywords
, COVID-19 virus, mutations, vaccination, epidemics, basic reproduction number
@inproceedings{paperid:1106906,
author = {Gholami Chahkand, Hossein and Gachpazan, Mortaza and مجید عرفانیان},
title = {SEIaIsQRS mathematical epidemic model for Covid- 19 by using compartmental analysis and numerical simulation},
booktitle = {The 2th International and 4th National Conference on Biomathematics},
year = {2023},
location = {بابلسر, IRAN},
keywords = {COVID-19 virus; mutations; vaccination; epidemics; basic reproduction number},
}
%0 Conference Proceedings
%T SEIaIsQRS mathematical epidemic model for Covid- 19 by using compartmental analysis and numerical simulation
%A Gholami Chahkand, Hossein
%A Gachpazan, Mortaza
%A مجید عرفانیان
%J The 2th International and 4th National Conference on Biomathematics
%D 2023
