Modeling and analysis of SEIRS epidemic models using homotopy perturbation method: A special outlook to 2019-nCoV in India

Author:

Thomas Reetha1,Jose Sayooj Aby2,Raja R.3,Alzabut J.4,Cao Jinde56,Balas Valentina E.7

Affiliation:

1. Department of Mathematics, St. Georges College, Aruvithura 686122, India

2. Department of Mathematics, Alagappa University, Karaikudi 630004, India

3. Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi 630004, India

4. Department of Mathematics and General Sciences, Prince Sultan University, Riyadh 12435, Saudi Arabia

5. School of Mathematics, Southeast University, Nanjing 211189, China

6. Yonsei Frontier Lab, Yonsei University, Seoul 03722, South Korea

7. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad 310032, Romania

Abstract

Considering the prevailing situations, the mathematical modeling and dynamics of novel coronavirus (2019-nCoV) particularly in India are studied in this paper. The goal of this work is to create an effective SEIRS model to study about the epidemic. Four different SEIRS models are considered and solved in this paper using an efficient homotopy perturbation method. A clear picture of disease spreading can be obtained from the solutions derived using this method. We parametrized the model by considering the number of infection cases from 1 April 2020 to 30 June 2020. Finally, numerical analysis and graphical representations are provided to interpret the spread of virus.

Funder

National Science Centre in Poland

RUSA Phase 2.0

Dept.of Edn. Govt. of India, UGC-SAP

DST-PURSE 2nd Phase programme vide letter

Prince Sultan University

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Modeling and Simulation

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