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  3. Rainfall events and daily mortality across 645 global locations: two stage time series analysis.
 

Rainfall events and daily mortality across 645 global locations: two stage time series analysis.

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BORIS DOI
10.48620/76238
Date of Publication
October 9, 2024
Publication Type
Article
Division/Institute

Institut für Sozial- ...

Contributor
He, Cheng
Breitner-Busch, Susanne
Huber, Veronika
Chen, Kai
Zhang, Siqi
Gasparrini, Antonio
Bell, Michelle
Kan, Haidong
Royé, Dominic
Armstrong, Ben
Schwartz, Joel
Sera, Francesco
Honda, Yasushi
Vicedo-Cabrera, Ana M
Institut für Sozial- und Präventivmedizin (ISPM) - Climate Change & Health
Institute of Social and Preventive Medicine
Jaakkola, Jouni J K
Ryti, Niilo
Kyselý, Jan
Guo, Yuming
Tong, Shilu
de'Donato, Francesca
Michelozzi, Paola
Coelho, Micheline de Sousa Zanotti Stagliorio
Saldiva, Paulo Hilario Nascimento
Lavigne, Eric
Orru, Hans
Indermitte, Ene
Pascal, Mathilde
Goodman, Patrick
Zeka, Ariana
Kim, Yoonhee
Diaz, Magali Hurtado
Arellano, Eunice Elizabeth Félix
Overcenco, Ala
Klompmaker, Jochem
Rao, Shilpa
Palomares, Alfonso Diz-Lois
Carrasco, Gabriel
Seposo, Xerxes
Pereira da Silva, Susana das Neves
Madureira, Joana
Holobaca, Iulian-Horia
Scovronick, Noah
Acquaotta, Fiorella
Lee, Whanhee
Kim, Ho
Hashizume, Masahiro
Tobias, Aurelio
Íñiguez, Carmen
Forsberg, Bertil
Ragettli, Martina S
Guo, Yue Leon
Pan, Shih-Chun
Osorio, Samuel
Li, Shanshan
Zanobetti, Antonella
Dang, Tran Ngoc
Van Dung, Do
Schneider, Alexandra
Subject(s)

600 - Technology::610...

Series
BMJ (Clinical research ed.)
ISSN or ISBN (if monograph)
1756-1833
Publisher
British Medical Association
Language
English
Publisher DOI
10.1136/bmj-2024-080944
PubMed ID
39384295
Description
Objective
To examine the associations between characteristics of daily rainfall (intensity, duration, and frequency) and all cause, cardiovascular, and respiratory mortality.Design
Two stage time series analysis.Setting
645 locations across 34 countries or regions.Population
Daily mortality data, comprising a total of 109 954 744 all cause, 31 164 161 cardiovascular, and 11 817 278 respiratory deaths from 1980 to 2020.Main Outcome Measure
Association between daily mortality and rainfall events with return periods (the expected average time between occurrences of an extreme event of a certain magnitude) of one year, two years, and five years, with a 14 day lag period. A continuous relative intensity index was used to generate intensity-response curves to estimate mortality risks at a global scale.Results
During the study period, a total of 50 913 rainfall events with a one year return period, 8362 events with a two year return period, and 3301 events with a five year return period were identified. A day of extreme rainfall with a five year return period was significantly associated with increased daily all cause, cardiovascular, and respiratory mortality, with cumulative relative risks across 0-14 lag days of 1.08 (95% confidence interval 1.05 to 1.11), 1.05 (1.02 to 1.08), and 1.29 (1.19 to 1.39), respectively. Rainfall events with a two year return period were associated with respiratory mortality only, whereas no significant associations were found for events with a one year return period. Non-linear analysis revealed protective effects (relative risk <1) with moderate-heavy rainfall events, shifting to adverse effects (relative risk >1) with extreme intensities. Additionally, mortality risks from extreme rainfall events appeared to be modified by climate type, baseline variability in rainfall, and vegetation coverage, whereas the moderating effects of population density and income level were not significant. Locations with lower variability of baseline rainfall or scarce vegetation coverage showed higher risks.Conclusion
Daily rainfall intensity is associated with varying health effects, with extreme events linked to an increasing relative risk for all cause, cardiovascular, and respiratory mortality. The observed associations varied with local climate and urban infrastructure.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/189022
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
bmj-2024-080944.full.pdftextAdobe PDF5.19 MBAttribution-NonCommercial (CC BY-NC 4.0)publishedOpen
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