Deep reinforcement learning based medical supplies dispatching model for major infectious diseases: Case study of COVID-19

Author:

Zeng Jia-YingORCID,Lu PingORCID,Wei YingORCID,Chen Xin,Lin Kai-BiaoORCID

Funder

Xiamen University of Technology

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Control and Optimization,Strategy and Management,Statistics and Probability

Reference60 articles.

1. Current status of COVID-19 pandemic and progress in response strategy;Gao W J;Zhonghua Liu Xing Bing Xue Za Zhi,2021

2. 2023 GOV 2023. Press Conference of the Joint Prevention and Control Mechanism of the State Council[EB/OL]. Retrieved February 9, 2023 from https://www.gov.cn/xinwen/gwylflkjz235/index.htm.

3. 2023 GOV 2023. Press Conference of the Joint Prevention and Control Mechanism of the State Council[EB/OL]. Retrieved January 14, https://www.gov.cn/xinwen/gwylflkjz231/wzsl.htm.

4. Research on the path of emergency medical supplies for major emergencies ——taking the COVID-19 as an example;Wu;Logistics Sci Tech,,2022

5. Practice and thinking on construction of an emergency medical supply security system in megacities;Xiao;Occup Health Emerg Rescue,2023

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