TY - JOUR
T1 - Rainfall events and daily mortality across 645 global locations
T2 - two stage time series analysis
AU - He, Cheng
AU - Breitner-Busch, Susanne
AU - Huber, Veronika
AU - Chen, Kai
AU - Zhang, Siqi
AU - Gasparrini, Antonio
AU - Bell, Michelle
AU - Kan, Haidong
AU - Royé, Dominic
AU - Armstrong, Ben
AU - Schwartz, Joel
AU - Sera, Francesco
AU - Vicedo-Cabrera, Ana Maria
AU - Honda, Yasushi
AU - Jaakkola, Jouni J.K.
AU - Ryti, Niilo
AU - Kyselý, Jan
AU - Guo, Yuming
AU - Tong, Shilu
AU - de’Donato, Francesca
AU - Michelozzi, Paola
AU - de Sousa Zanotti Stagliorio Coelho, Micheline
AU - Saldiva, Paulo Hilario Nascimento
AU - Lavigne, Eric
AU - Orru, Hans
AU - Indermitte, Ene
AU - Pascal, Mathilde
AU - Goodman, Patrick
AU - Zeka, Ariana
AU - Kim, Yoonhee
AU - Diaz, Magali Hurtado
AU - Arellano, Eunice Elizabeth Félix
AU - Overcenco, Ala
AU - Klompmaker, Jochem
AU - Rao, Shilpa
AU - Palomares, Alfonso Diz Lois
AU - Carrasco, Gabriel
AU - Seposo, Xerxes
AU - Pereira da Silva, Susana das Neves
AU - Madureira, Joana
AU - Holobaca, Iulian Horia
AU - Scovronick, Noah
AU - Acquaotta, Fiorella
AU - Kim, Ho
AU - Lee, Whanhee
AU - Hashizume, Masahiro
AU - Tobias, Aurelio
AU - Íñiguez, Carmen
AU - Forsberg, Bertil
AU - Ragettli, Martina S.
AU - Guo, Yue Leon
AU - Pan, Shih Chun
AU - Osorio, Samuel
AU - Li, Shanshan
AU - Zanobetti, Antonella
AU - Dang, Tran Ngoc
AU - Van Dung, Do
AU - Schneider, Alexandra
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2019.
PY - 2024
Y1 - 2024
N2 - 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 50913 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.
AB - 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 50913 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.
UR - https://www.scopus.com/pages/publications/85205997959
U2 - 10.1136/bmj-2024-080944
DO - 10.1136/bmj-2024-080944
M3 - Article
C2 - 39384295
AN - SCOPUS:85205997959
SN - 0959-8146
JO - BMJ
JF - BMJ
M1 - e080944
ER -