Two-Stage Game Theoretic Framework for Evaluating COVID-19 Risk and Allocating Medical Resources

DOI

10.2991/978-94-6463-946-9_23How to use a DOI?

Keywords

COVID-19; Medical Resource Allocation; Nash Equilibrium; Risk Value; Shapley Value

Abstract

This study presents a framework for decision-makers that integrates two game theory models aimed at determining the allocation of medical resources across all impacted districts in response to an elevated threat advisory level. The interactions among a cluster of coronavirus cases and the district response agent for the impacted area are conceptualized as a non-cooperative game, subsequently leading to the derivation of a risk value (RV) for COVID-19 for each district utilizing the mixed Nash equilibrium method. The risk value denotes the hazard, vulnerability, and consequences associated with the coronavirus outbreak in the afflicted district. Subsequently, this study employs the risk values from all districts to compute a Shapley value for each district. We equitably allocate medical resources across all districts according to their anticipated marginal contribution. The experimental findings demonstrate that the administrator can utilize this framework to quantitatively assess the COVID-19 risk value in each district, and that the proposed Shapley value method is viable for resource mobilization planning and enhancing relief efforts against COVID-19.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Cheng-Kuang Wu
PY  - 2026
DA  - 2026/01/04
TI  - Two-Stage Game Theoretic Framework for Evaluating COVID-19 Risk and Allocating Medical Resources
BT  - Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
PB  - Atlantis Press
SP  - 181
EP  - 187
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-946-9_23
DO  - 10.2991/978-94-6463-946-9_23
ID  - Wu2026
ER  -