EPIDEMIC SEIQRV MATHEMATICAL MODEL AND STABILITY ANALYSIS OF COVID-19 TRANSMISSION DYNAMICS OF CORONAVIRUS

被引:0
|
作者
Bavithra, S. A. R. [1 ]
Padmasekaran, S. [1 ]
机构
[1] Periyar Univ, Dept Math, Salem, Tamilnadu, India
来源
JOURNAL OF APPLIED MATHEMATICS & INFORMATICS | 2023年 / 41卷 / 06期
关键词
Key words and phrases; Omicron; steady states; reproduction number; stability; INFECTIOUS-DISEASES; VACCINATION;
D O I
10.14317/jami.2023.1393
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
. In this study, we propose a dynamic SEIQRV mathematical model and examine it to comprehend the dynamics of COVID-19 pandemic transmission in the Coimbatore district of Tamil Nadu. Positiveness and boundedness, which are the fundamental principles of this model, have been examined and found to be reliable. The reproduction number was calculated in order to predict whether the disease would spread further. Existing arrangements of infection-free, steady states are asymptotically stable both locally and globally when R-0 < 1. The consistent state arrangements that are present in diseases are also locally steady when R-0 < 1 and globally steady when R-0 > 1. Finally, the numerical data confirms our theoretical study.
引用
收藏
页码:1393 / 1407
页数:15
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