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Evaluation of the Effectiveness of COVID-19 Prevention and Control Based on Modified SEIR Model

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Computing and Data Science (CONF-CDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1513))

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Abstract

In this paper, the SEIR model is modified. According to the characteristics of COVID-19, a new room of people under quarantine is added, and the incubation period infection rate is introduced. We define the disease-free equilibrium and prove the stability of the equilibrium. Local stability is proved by examinating Characteristic polynomial, and global stability is proved by constructing Lyapunov Function. In addition, the effect of the epidemic prevention measures are evaluated by numerical simulation. The research shows that the post exposure infection rate and quarantine rate are the most crucial parameters of this disease.

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Acknowledgement

This study is supported by Project of Beijing Social Science Fund (18YJB006).

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Authors and Affiliations

  1. School of Statistics, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing, People’s Republic of China

    Menggen Chen & Moshu Xu

Authors
  1. Menggen Chen
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  2. Moshu Xu
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Corresponding author

Correspondence to Moshu Xu .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Weijia Cao

  2. University of California, Los Angeles, CA, USA

    Aydogan Ozcan

  3. China Academy of Space Technology, Beijing, China

    Haidong Xie

  4. Chinese Academy of Sciences, Beijing, China

    Bei Guan

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Chen, M., Xu, M. (2021). Evaluation of the Effectiveness of COVID-19 Prevention and Control Based on Modified SEIR Model. In: Cao, W., Ozcan, A., Xie, H., Guan, B. (eds) Computing and Data Science. CONF-CDS 2021. Communications in Computer and Information Science, vol 1513. Springer, Singapore. https://doi.org/10.1007/978-981-16-8885-0_15

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  • DOI: https://doi.org/10.1007/978-981-16-8885-0_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8884-3

  • Online ISBN: 978-981-16-8885-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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