JOURNAL ARTICLE

Impact of population size on epidemic spreading in a bipartite metapopulation network with recurrent mobility.

  • Published In: International Journal of Modern Physics C: Computational Physics & Physical Computation, 2024, v. 35, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wang, Hao-Jie; Xu, Yuan-Hao; Li, Ming; Hu, Mao-Bin 3 of 3

Abstract

The mobility pattern of a population plays a key role in the spread of epidemics. Despite extensive work on epidemic spreading, little attention has been paid to the impact of subpopulation size. This paper investigates the spread of epidemics on a bipartite metapopulation network considering recurrent mobility patterns and different sizes of subpopulations. With the Markovian process approach, the epidemic threshold can be predicted as a function of subpopulation size and epidemic parameters. Simulation and theoretical results indicate that there exists a critical mobility intensity below which the epidemic will be eliminated, while limiting the size of the subpopulation can suppress the epidemic. Additionally, the epidemic threshold will approach zero when the size of the public area is large. The results can help the prevention of epidemic spreading under recurrent crowd mobility. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modern Physics C: Computational Physics & Physical Computation. 2024/08, Vol. 35, Issue 8, p1
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2024
  • ISSN:0129-1831
  • DOI:10.1142/S0129183124501043
  • Accession Number:178117005
  • Copyright Statement:Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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