Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Health Care System Administration using Deep Reinforcement Learning.

Journal: Disaster medicine and public health preparedness
Published Date:

Abstract

OBJECTIVES: Large-scale crises, including wars and pandemics, have repeatedly shaped human history, and their simultaneous occurrence presents profound challenges to societies. Understanding the dynamics of epidemic spread during warfare is essential for developing effective containment strategies in complex conflict zones. While research has explored epidemic models in various settings, the impact of warfare on epidemic dynamics remains underexplored.

Authors

  • Adi Shuchami
    Department of Mathematics, https://ror.org/03nz8qe97Ariel University, Ariel, Israel.
  • Teddy Lazebnik
    Department of Mathematics, Ariel University, Ariel, Israel.