ArticleEmerging infectious diseases2024
Use of Open-Source Epidemic Intelligence for Infectious Disease Outbreaks, Ukraine, 2022.
Article in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Rabies in Military Personnel: Epidemiology, Clinical Challenges, and Strategies for Prevention and Management.Tropical medicine and infectious disease · 2026Review
- Regional and Seasonal Dynamics of Leptospirosis in Ukraine, 2023-2025.Pathogens (Basel, Switzerland) · 2026Article
- Establishing an EU-compliant diagnostic facility for infectious diseases under war conditions in Poltava, Ukraine.Frontiers in public health · 2026Article
- Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning.Reviews in medical virology · 2026Review
- Operationalizing the One Health approach in a conflict-affected setting: A scientometric review of policy foundations, systemic gaps, and future pathways in Ukraine.Veterinary world · 2026Article
- Infectious Diseases in the Context of the War in Ukraine: Refugee Health Implications in Romania.Healthcare (Basel, Switzerland) · 2025Article
- The Challenge of Lyssavirus Infections in Domestic and Other Animals: A Mix of Virological Confusion, Consternation, Chagrin, and Curiosity.Pathogens (Basel, Switzerland) · 2025Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Formal infectious disease surveillance in Ukraine has been disrupted by Russia's 2022 invasion, leading to challenges with tracking and containing epidemics. To analyze the effects of the war on infectious disease epidemiology, we used open-source data from EPIWATCH, an artificial intelligence early-warning system. We analyzed patterns of infectious diseases and syndromes before (November 1, 2021-February 23, 2022) and during (February 24-July 31, 2022) the conflict. We compared case numbers for the most frequently reported diseases with numbers from formal sources and found increases in overall infectious disease reports and in case numbers of cholera, botulism, tuberculosis, HIV/AIDS, rabies, and salmonellosis during compared with before the invasion. During the conflict, although open-source intelligence captured case numbers for epidemics, such data (except for diphtheria) were unavailable/underestimated by formal surveillance. In the absence of formal surveillance during military conflicts, open-source data provide epidemic intelligence useful for infectious disease control.
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