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

Detalhes bibliográficos
Autor(a) principal: He, C
Data de Publicação: 2024
Outros Autores: 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
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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spelling 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
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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
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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
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/162443
url https://hdl.handle.net/10216/162443
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1759-2151
0959-8138
10.1136/bmj-2024-080944
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BMJ Publishing Group
publisher.none.fl_str_mv BMJ Publishing Group
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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