Rainfall events and daily mortality across 645 global locations: two stage time series analysis
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | https://hdl.handle.net/10216/162443 |
Resumo: | "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." |
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Rainfall events and daily mortality across 645 global locations: two stage time series analysis"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."BMJ Publishing Group20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/162443eng1759-21510959-813810.1136/bmj-2024-080944He, CBreitner-Busch, SHuber, VChen, KZhang, SGasparrini, ABell, MKan, HRoyé, DArmstrong, BSchwartz, JSera, FVicedo-Cabrera, AMHonda, YJaakkola, JJKRyti, NKyselý, JGuo, YTong, Sde'Donato, FMichelozzi, PCoelho, MSZSSaldiva, PHNLavigne, EOrru, HIndermitte, EPascal, MGoodman, PZeka, AKim, YDiaz, MHArellano, EEFOvercenco, AKlompmaker, JRao, SPalomares, ADCarrasco, GSeposo, XPereira da Silva, SDNMadureira, JHolobaca, IHScovronick, NAcquaotta, FKim, HLee, WHashizume, MTobias, AÍñiguez, CForsberg, BRagettli, MSGuo, YLPan, SCOsorio, SLi, SZanobetti, ADang, TNVan Dung, DSchneider, Ainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T17:29:18Zoai:repositorio-aberto.up.pt:10216/162443Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:16:08.891407Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| title |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| spellingShingle |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis He, C |
| title_short |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| title_full |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| title_fullStr |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| title_full_unstemmed |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| title_sort |
Rainfall events and daily mortality across 645 global locations: two stage time series analysis |
| author |
He, C |
| author_facet |
He, C Breitner-Busch, S Huber, V Chen, K Zhang, S Gasparrini, A Bell, M Kan, H Royé, D Armstrong, B Schwartz, J Sera, F Vicedo-Cabrera, AM Honda, Y Jaakkola, JJK Ryti, N Kyselý, J Guo, Y Tong, S de'Donato, F Michelozzi, P Coelho, MSZS Saldiva, PHN Lavigne, E Orru, H Indermitte, E Pascal, M Goodman, P Zeka, A Kim, Y Diaz, MH Arellano, EEF Overcenco, A Klompmaker, J Rao, S Palomares, AD Carrasco, G Seposo, X Pereira da Silva, SDN Madureira, J Holobaca, IH Scovronick, N Acquaotta, F Kim, H Lee, W Hashizume, M Tobias, A Íñiguez, C Forsberg, B Ragettli, MS Guo, YL Pan, SC Osorio, S Li, S Zanobetti, A Dang, TN Van Dung, D Schneider, A |
| author_role |
author |
| author2 |
Breitner-Busch, S Huber, V Chen, K Zhang, S Gasparrini, A Bell, M Kan, H Royé, D Armstrong, B Schwartz, J Sera, F Vicedo-Cabrera, AM Honda, Y Jaakkola, JJK Ryti, N Kyselý, J Guo, Y Tong, S de'Donato, F Michelozzi, P Coelho, MSZS Saldiva, PHN Lavigne, E Orru, H Indermitte, E Pascal, M Goodman, P Zeka, A Kim, Y Diaz, MH Arellano, EEF Overcenco, A Klompmaker, J Rao, S Palomares, AD Carrasco, G Seposo, X Pereira da Silva, SDN Madureira, J Holobaca, IH Scovronick, N Acquaotta, F Kim, H Lee, W Hashizume, M Tobias, A Íñiguez, C Forsberg, B Ragettli, MS Guo, YL Pan, SC Osorio, S Li, S Zanobetti, A Dang, TN Van Dung, D Schneider, A |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
He, C Breitner-Busch, S Huber, V Chen, K Zhang, S Gasparrini, A Bell, M Kan, H Royé, D Armstrong, B Schwartz, J Sera, F Vicedo-Cabrera, AM Honda, Y Jaakkola, JJK Ryti, N Kyselý, J Guo, Y Tong, S de'Donato, F Michelozzi, P Coelho, MSZS Saldiva, PHN Lavigne, E Orru, H Indermitte, E Pascal, M Goodman, P Zeka, A Kim, Y Diaz, MH Arellano, EEF Overcenco, A Klompmaker, J Rao, S Palomares, AD Carrasco, G Seposo, X Pereira da Silva, SDN Madureira, J Holobaca, IH Scovronick, N Acquaotta, F Kim, H Lee, W Hashizume, M Tobias, A Íñiguez, C Forsberg, B Ragettli, MS Guo, YL Pan, SC Osorio, S Li, S Zanobetti, A Dang, TN Van Dung, D Schneider, A |
| 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." |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-01-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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https://hdl.handle.net/10216/162443 |
| url |
https://hdl.handle.net/10216/162443 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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1759-2151 0959-8138 10.1136/bmj-2024-080944 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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BMJ Publishing Group |
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BMJ Publishing Group |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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