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Epidemic-logistics Modeling: A New Perspective on Operations Research

Author

Listed:
  • Ming Liu

    (Nanjing University of Science and Technology)

  • Jie Cao

    (Xuzhou University of Technology)

  • Jing Liang

    (Nanjing Polytechnic Institute)

  • MingJun Chen

    (Affiliated Hospital of Jiangsu University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Ming Liu & Jie Cao & Jing Liang & MingJun Chen, 2020. "Epidemic-logistics Modeling: A New Perspective on Operations Research," Springer Books, Springer, number 978-981-13-9353-2, December.
    • Handle: RePEc:spr:sprbok:978-981-13-9353-2
    DOI: 10.1007/978-981-13-9353-2
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    Cited by:

    1. Svetozar Margenov & Nedyu Popivanov & Iva Ugrinova & Tsvetan Hristov, 2022. "Mathematical Modeling and Short-Term Forecasting of the COVID-19 Epidemic in Bulgaria: SEIRS Model with Vaccination," Mathematics, MDPI, vol. 10(15), pages 1-28, July.
    2. Milad Mohammadi & Alibakhsh Nikzad, 2023. "Sustainable and reliable closed-loop supply chain network design during pandemic outbreaks and disruptions," Operations Management Research, Springer, vol. 16(2), pages 969-991, June.
    3. Hao Yu & Xu Sun & Wei Deng Solvang & Xu Zhao, 2020. "Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)," IJERPH, MDPI, vol. 17(5), pages 1-25, March.

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