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Preface to Special Issue on Dynamic Games for Modeling and Control of Epidemics
Quanyan Zhu1, Elena Gubar2, Eitan Altman3
1New York University, 370 Jay Street, Brooklyn, NY USA.
Summary
This special issue explores dynamic games for epidemic modeling and control. It presents 12 papers on screening, containment, and mitigation strategies using various game theory approaches.
Area of Science:
- Mathematical Epidemiology
- Game Theory
- Control Theory
Background:
- Dynamic games offer powerful frameworks for analyzing complex systems.
- Epidemic modeling requires understanding disease spread and intervention impacts.
- Integrating game theory with epidemic models addresses strategic decision-making in public health.
Discussion:
- This special issue highlights 12 papers applying dynamic games to epidemic challenges.
- Contributions cover screening, containment, and mitigation strategies for infectious diseases.
- The research connects dynamic games with epidemiological models for enhanced analysis.
Key Insights:
- Dynamic game models provide novel insights into optimizing epidemic control measures.
- The collection showcases the versatility of game theory in addressing public health crises.
- Interdisciplinary approaches combining game theory, networks, and human behavior are crucial.
Outlook:
- Future research can further refine dynamic game strategies for emerging epidemics.
- Exploring human behavior dynamics within game-theoretic epidemic models is promising.
- Advancements in differential and mean-field games will enhance epidemic control capabilities.
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