A SIQ mathematical model on COVID-19 investigating the lockdown effect

被引:31
作者
Bhadauria, Archana Singh [1 ]
Pathak, Rachana [2 ]
Chaudhary, Manisha [3 ]
机构
[1] Deen Dayal Upadhyaya Gorakhpur Univ, Dept Math & Stat, Gorakhpur, Uttar Pradesh, India
[2] Univ Lucknow, Fac Engn & Technol, Dept Appl Sci & Humanities Math, Lucknow, Uttar Pradesh, India
[3] Madhav Inst Sci & Technol, Dept Appl Sci, Gwalior, Madhya Pradesh, India
关键词
System; Stability; Persistence; Sensitivity analysis; POPULATION DISPERSAL; EPIDEMIC MODELS; OUTBREAK;
D O I
10.1016/j.idm.2020.12.010
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This research paper aims at studying the impact of lockdown on the dynamics of novel Corona Virus Disease (COVID-19) emerged in Wuhan city of China in December 2019. Perceiving the pandemic situation throughout the world, Government of India restricted international passenger traffic through land check post (Liang, 2020) and imposed complete lockdown in the country on 24 March 2020. To study the impact of lockdown on disease dynamics we consider a three-dimensional mathematical model using nonlinear ordinary differential equations. The proposed model has been studied using stability theory of nonlinear ordinary differential equations. Basic reproduction ratio is computed and significant parameters responsible to keep basic reproduction ratio less than one are identified. The study reveals that disease vanishes from the system only if complete lockdown is imposed otherwise disease will always persist in the population. However, disease can be kept under control by implementing contact tracing and quarantine measures as well along with lockdown if lockdown is imposed partially. (c) 2021 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:244 / 257
页数:14
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