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Contact-dependent infection and mobility in the metapopulation SIR model from a birth–death process perspective

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  • Xie, Meiling
  • Li, Yuhan
  • Feng, Minyu
  • Kurths, Jürgen

Abstract

Given the widespread impact of COVID-19, modeling and analysis of epidemic propagation has been critical to epidemic prevention and control. However, previous studies have overlooked the significant influence of individual heterogeneity in behavior and physiology, including contact-dependent infection and migration on epidemic propagation. In this paper, we propose two metapopulation SIR models from individual and population perspectives. The first individual model introduces individual contact-dependent infection considering activity potential and infection rate, which leads to the derivation of the basic reproduction number R0 of our model. The birth–death process, used in the second population model, is represented by a compound Poisson process flow and Poisson process decomposition, respectively, to depict population mobility among subpopulations. In simulations, the number of individuals in each state and the converged number are illustrated to demonstrate the impact of various parameters. The relationship between the basic reproduction number R0 and various parameters is also demonstrated. Furthermore, the validity of our model is also confirmed on a real clinical report dataset of COVID-19 disease.

Suggested Citation

  • Xie, Meiling & Li, Yuhan & Feng, Minyu & Kurths, Jürgen, 2023. "Contact-dependent infection and mobility in the metapopulation SIR model from a birth–death process perspective," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:chsofr:v:177:y:2023:i:c:s0960077923012018
    DOI: 10.1016/j.chaos.2023.114299
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    References listed on IDEAS

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    1. Dun Han & Qi Shao & Dandan Li, 2020. "Exploring the Epidemic Spreading in a Multilayer Metapopulation Network by considering Individuals’ Periodic Travelling," Complexity, Hindawi, vol. 2020, pages 1-9, April.
    2. Chung‐Min Liao & Chao‐Fang Chang & Huang‐Min Liang, 2005. "A Probabilistic Transmission Dynamic Model to Assess Indoor Airborne Infection Risks," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1097-1107, October.
    3. Shao, Qi & Han, Dun, 2022. "Epidemic spreading in metapopulation networks with heterogeneous mobility rates," Applied Mathematics and Computation, Elsevier, vol. 412(C).
    4. A.H. Nzokem, 2021. "SIS Epidemic Model Birth-and-Death Markov Chain Approach," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(4), pages 1-10, July.
    5. Kabir, K.M. Ariful & Tanimoto, Jun, 2019. "Evolutionary vaccination game approach in metapopulation migration model with information spreading on different graphs," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 41-55.
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    Cited by:

    1. Xie, Meiling & Zeng, Ziyan & Li, Yuhan & Feng, Minyu, 2024. "Adherence strategy based on evolutionary games in epidemic spreading," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    2. Li, Wenjie & Li, Jiachen & Nie, Yanyi & Lin, Tao & Chen, Yu & Liu, Xiaoyang & Su, Sheng & Wang, Wei, 2024. "Infectious disease spreading modeling and containing strategy in heterogeneous population," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

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