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

Our findings highlight the importance of integrating conflict-related factors into epidemic modeling to enhance preparedness and response strategies in conflict-affected areas.

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Publication Details

Journal
Disaster Medicine and Public Health Preparedness
Published
2025-01-01
DOI
https://doi.org/10.1017/dmp.2025.10062
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
Controls
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article

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

Teddy Lazebnik, Adi Shuchami
1 citations
Disaster Medicine and Public Health Preparedness
COVID-19 epidemiological studies
1.37
article

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

Teddy Lazebnik, Adi Shuchami
article en
1 citations

Abstract

Our findings highlight the importance of integrating conflict-related factors into epidemic modeling to enhance preparedness and response strategies in conflict-affected areas.

Disaster Medicine and Public Health PreparednessVol. 19
Cancer Research UK (GB), University College London (GB), Ariel University (IL)
Openalex Percentile: Top 19%
COVID-19 epidemiological studies
1.37
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