Stability and Parameter Sensitivity Analyses of SEI${}_{3}$R${}_{2}$D${}_{2}$V Model to Control COVID-19 Pandemic-Reference-Cited by-同舟云学术

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Stability and Parameter Sensitivity Analyses of SEI${}_{3}$R${}_{2}$D${}_{2}$V Model to Control COVID-19 Pandemic

Published:2024-06 Issue:3 Volume:11 Page:4511-4523
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Kansal Vaishali¹^ORCID,Pandey Pradumn Kumar¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India

Funder

Department of Science and Technology (DST), Government of India

Faculty Initiation Grant, IIT, Roorkee.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570650/10557215/10445706.pdf?arnumber=10445706

Reference54 articles.

1. Epidemiological models are important tools for guiding COVID-19 interventions

2. Networks

3. A contribution to the mathematical theory of epidemics

4. Contributions to the mathematical theory of epidemics. II. —The problem of endemicity

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