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Mathematical Modelling of COVID-19 Using ODEs

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Advanced Information Networking and Applications (AINA 2024)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 204))

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Abstract

COVID-19 is the disease caused by the SARS-CoV-2 coronavirus. Globally, as of 6:32pm CEST, 19 September 2023, there have been 772 838 745 confirmed cases of COVID-19, including 6 988 679 deaths, reported to WHO. The number of confirmed cases still are being seen. In this paper, we present a prediction model baased on Ordinary Differential Equations. The prediction model takes the help fom the susceptible-exposed-infected-recovered (SEIR) family of compartmental models. The SEIR is a type of epidemiological models. In this paper we also focus on the reinfection rate among the people from the virus SARS-CoV-2 after they have recovered.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Hamirpur, 177 005, Himachal Pradesh, India

    Dharmendra Prasad Mahato

  2. School of Computing Science and Engineering, Galgotias University, Plot No. 2, Sector 17-A Yamuna Expressway, Opposite Buddha International Circuit, Gautam Buddh Nagar, Greater Noida, 203201, Uttar Pradesh, India

    Radha Rani

Authors
  1. Dharmendra Prasad Mahato
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  2. Radha Rani
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Corresponding author

Correspondence to Dharmendra Prasad Mahato .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Prasad Mahato, D., Rani, R. (2024). Mathematical Modelling of COVID-19 Using ODEs. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-031-57942-4_16

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