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How can infectious medical waste be forecasted and transported during the COVID-19 pandemic? A hybrid two-stage method

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  • Xin, Li
  • Xi, Chen
  • Sagir, Mujgan
  • Wenbo, Zhang

Abstract

The COVID-19 pandemic has caused an unforeseen collapse of infectious medical waste (IMW) and an abrupt smite of the conveying chain. Hospitals and related treatment centers face great challenges during the pandemic because mismanagement may lead to more severe life threats and enlarge environmental pollution. Opportune forecasting and transportation route optimization, therefore, are crucial to coping with social stress meritoriously. All related hospitals and medical waste treatment centers (MWTCs) should make decisions in perspective to reduce the economic pressure and infection risk immensely. This study proposes a hybrid dynamic method, as follows: first to forecast confirmed cases via infectious disease modeling and analyze the association between IMW outflows and cases; next to construct a model through time-varying factors and the lagging factor to predict the waste quantity; and then to optimize the transportation network route from hospitals to MWTCs. For demonstration intentions, the established methodology is employed to an illustrative example. Based on the obtained results, in finding the process of decision making, cost becomes the common concern of decision-makers. Actually, the infection risk among publics has to be considered simultaneously. Therefore, realizing early warning and safe waste management has an immensely positive effect on epidemic stabilization and lifetime health.

Suggested Citation

  • Xin, Li & Xi, Chen & Sagir, Mujgan & Wenbo, Zhang, 2023. "How can infectious medical waste be forecasted and transported during the COVID-19 pandemic? A hybrid two-stage method," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007090
    DOI: 10.1016/j.techfore.2022.122188
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    References listed on IDEAS

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    1. Sheldon H. Jacobson & Janet A. Jokela, 2021. "Beyond COVID-19 deaths during the COVID-19 pandemic in the United States," Health Care Management Science, Springer, vol. 24(4), pages 661-665, December.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Atul Pokharel & Robert Soulé & Avi Silberschatz, 2021. "A case for location based contact tracing," Health Care Management Science, Springer, vol. 24(2), pages 420-438, June.
    4. Zhao, Jun & Huang, Lixia & Lee, Der-Horng & Peng, Qiyuan, 2016. "Improved approaches to the network design problem in regional hazardous waste management systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 52-75.
    5. Annas, Suwardi & Isbar Pratama, Muh. & Rifandi, Muh. & Sanusi, Wahidah & Side, Syafruddin, 2020. "Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    6. Chen, Yuh-Wen & Wang, Chi-Hwang & Lin, Sain-Ju, 2008. "A multi-objective geographic information system for route selection of nuclear waste transport," Omega, Elsevier, vol. 36(3), pages 363-372, June.
    7. Shou, Ming-Huan & Wang, Zheng-Xin & Lou, Wen-Qian, 2021. "Effect evaluation of non-pharmaceutical interventions taken in China to contain the COVID-19 epidemic based on the susceptible-exposed-infected-recovered model," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    8. Ming Liu & Yihong Xiao, 2015. "Optimal Scheduling of Logistical Support for Medical Resource with Demand Information Updating," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-12, March.
    9. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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