Meteorological associations with out-of-hospital cardiac arrest: A national population-based time-series analysis
Meteorological factors demonstrate strong, predictable associations with OHCA incidence, with extreme weather increasing rates by nearly one-third. The 3-day lag patterns enable weather-based early warnings, supporting the integration of meteorological data into emergency response to reduce preventable deaths.
Authors
- Gábor Csató (ORCID: https://orcid.org/0009-0004-3569-4871)
- Péter Sótonyi (ORCID: https://orcid.org/0000-0002-2216-4298)
- Nora Boussoussou
- György Pápai
- Boldizsár Kiss (ORCID: https://orcid.org/0000-0003-2059-5462)
- Ádám Pál-Jakab (ORCID: https://orcid.org/0000-0002-8625-4815)
- Brigitta Szilágyi (ORCID: https://orcid.org/0000-0002-2566-0465)
- András Gelencsér
- Endre Zima
- Béla Merkely
- Patrik Pesti
- Bettina Nagy
- Zsuzsanna Horti-Maricza
- Botond Biebel
Institutions
- Semmelweis University (HU)
- University of Pannonia (HU)
- Corvinus University of Budapest (HU)
- Budapest University of Technology and Economics (HU)
- Hungarian National Blood Transfusion Service (HU)
Publication Details
- Journal
- Public Health
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1016/j.puhe.2026.106145
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00