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

JY Zeng, P Lu, Y Wei, X Chen, KB Lin - Operations Research Perspectives, 2023 - Elsevier
Stockpiling and scheduling plans for medical supplies represent essential preventive and
control measures in major public health events. In the face of major infectious diseases …

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

C Hou, H Jiang - Plos one, 2021 - journals.plos.org
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 …

Research on demand forecasting and distribution of emergency medical supplies using an agent-based model

X Zhou, W Liao - Chaos, Solitons & Fractals, 2023 - Elsevier
The global health crisis caused by SARS-CoV-2 since 2019 has emphasized the critical
significance of effective disease detection and treatment in minimizing infection rates and …

A study on optimal dispatch of meical resources under the situation of COVID-19

Y Yang - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
In order to improve the efficiency of production, transportation, storage and use of medical
resources under COVID-19 pandemic, we propose a simplified model for medical resources …

Research on the Multi-objective Optimization Dispatching Model and Algorithm of Emergency Supplies under Emergency Events: A Case of COVID-19

S Zidan, S Chenhui, W Xiaoyan, HAN Jiao - Operations Research and …, 2023 - jorms.net
The scheduling of emergency materials is highly uncertain and dynamic under emergency
events. Whether the trans-regional scheduling plan of emergency materials can be …

Prediction-driven collaborative emergency medical resource allocation with deep learning and optimization

ZY Chen, M Sun, XX Han - Journal of the Operational Research …, 2023 - Taylor & Francis
This study addresses two key issues, ie, the “cold-start problem” in transmission prediction of
new or rare epidemics and the collaborative allocation of emergency medical resources …

Deep reinforcement learning-based vaccine distribution strategies

X Wei, C Pu, Z He, P Liò - 2021 2nd International Conference …, 2021 - ieeexplore.ieee.org
The rapid development of artificial intelligence techniques is significantly promoting the
resolution of various important decision-making issues such as material distribution …

Application of medical material inventory model under deep learning in supply planning of public emergency

B Huang, W Gan, Z Li - IEEE Access, 2021 - ieeexplore.ieee.org
The purposes are to solve inventory management problems in emergencies, optimize
inventory management structure, and improve management efficiency. The medical material …

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

L Xin, C Xi, M Sagir, Z Wenbo - Technological Forecasting and Social …, 2023 - Elsevier
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 …

Multi-mitigation strategies in medical supplies for epidemic outbreaks

Y Zhang, Z Li, Y Zhao - Socio-Economic Planning Sciences, 2023 - Elsevier
The outbreak of Coronavirus disease 2019 (COVID-19) highlights the importance of
sufficient medical supplies stockpiling at the pre-event stage. In contrast, the potential …