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Methodology of emergency medical logistics for multiple epidemic areas in public health emergency

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  • Chunxia Hou
  • Huiyuan Jiang

Abstract

Coronavirus disease 2019(COVID-19) has brought great disasters to humanity, and its influence continues to intensify. In response to the public health emergencies, prompt relief supplies are key to reduce the damage. This paper presents a method of emergency medical logistics to quick response to emergency epidemics. The methodology includes two recursive mechanisms: (1) the time-varying forecasting of medical relief demand according to a modified susceptible-exposed-infected- Asymptomatic- recovered (SEIAR) epidemic diffusion model, (2) the relief supplies distribution based on a multi-objective dynamic stochastic programming model. Specially, the distribution model addresses a hypothetical network of emergency medical logistics with considering emergency medical reserve centers (EMRCs), epidemic areas and e-commerce warehousing centers as the rescue points. Numerical studies are conducted. The results show that with the cooperation of different epidemic areas and e-commerce warehousing centers, the total cost is 6% lower than without considering cooperation of different epidemic areas, and 9.7% lower than without considering cooperation of e-commerce warehousing centers. Particularly, the total cost is 20% lower than without considering any cooperation. This study demonstrates the importance of cooperation in epidemic prevention, and provides the government with a new idea of emergency relief supplies dispatching, that the rescue efficiency can be improved by mutual rescue between epidemic areas in public health emergency.

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  • Chunxia Hou & Huiyuan Jiang, 2021. "Methodology of emergency medical logistics for multiple epidemic areas in public health emergency," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-23, July.
    • Handle: RePEc:plo:pone00:0253978
    DOI: 10.1371/journal.pone.0253978
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    References listed on IDEAS

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    1. Haiyan Wang & Xinping Wang & Amy Z. Zeng, 2009. "Optimal material distribution decisions based on epidemic diffusion rule and stochastic latent period for emergency rescue," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 1(1/2), pages 76-96.
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