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Optimal devoted resource strategies to epidemic extinction by increasing recovery rate

Author

Listed:
  • Jiarong Xie

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, P. R. China)

  • Fanhui Meng

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, P. R. China)

  • Yiwen Huang

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, P. R. China)

  • Zhengping Fan

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, P. R. China)

  • Xiao Ma

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, P. R. China)

  • Yanqing Hu

    (School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, P. R. China†Southern Marine Science and Engineering, Guangdong Laboratory, Zhuhai 519082, P. R. China)

Abstract

Epidemic extinction requires substantial resources over the period of outbreak. It is crucial to have an efficient strategy to assign resources due to the limited budget. In this paper, on the basis of epidemic spreading model proposed in [Chen et al., PRE, 2019], we investigate how to allocate resources in different periods of epidemics. Our results show that due to the resource moderately concentrated during the period of outbreak, the epidemics become extinct with much fewer resources. Specifically, we found that the optimal devoted resource strategy saves total devoted resource several times. This study is helpful to understand the impact of devoted resources on epidemic extinction and to design epidemic strategies under limited budget.

Suggested Citation

  • Jiarong Xie & Fanhui Meng & Yiwen Huang & Zhengping Fan & Xiao Ma & Yanqing Hu, 2020. "Optimal devoted resource strategies to epidemic extinction by increasing recovery rate," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(01), pages 1-10, January.
    • Handle: RePEc:wsi:ijmpcx:v:31:y:2020:i:01:n:s0129183120500102
    DOI: 10.1142/S0129183120500102
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