Seasonality of mortality under climate change: a multicountry projection study

Detalhes bibliográficos
Autor(a) principal: Madaniyazi, L
Data de Publicação: 2024
Outros Autores: Armstrong, B, Tobias, A, Mistry, MN, Bell, ML, Urban, A, Kyselý, J, Ryti, N, Cvijanovic, I, Ng, CFS, Roye, D, Vicedo-Cabrera, AM, Tong, S, Lavigne, E, Íñiguez, C, da Silva, SDNP, Madureira, J, Jaakkola, JJK, Sera, F, Honda, Y, Gasparrini, A, Hashizume, M, Abrutzky, R, Acquaotta, F, Alahmad, B, Analitis, A, Carlsen, HK, Carrasco-Escobar, G, de Sousa Zanotti Stagliorio Coelho, M, Colistro, V, Matus Correa, P, Dang, TN, de'Donato, F, Hurtado Diaz, M, Dung, DV, Entezari, A, Forsberg, B, Goodman, P, Guo, YL, Guo, Y, Holobaca, I-H, Houthuijs, D, Huber, V, Indermitte, E, Kan, H, Katsouyanni, K, Kim, Y, Kim, H, Lee, W, Li, S, Mayvaneh, F, Michelozzi, P, Orru, H, Valdés Ortega, N, Osorio, S, Overcenco, A, Pan, S-C, Pascal, M, Ragettli, MS, Rao, S, Raz, R, Saldiva, PHN, Schneider, A, Schwartz, J, Scovronick, N, Seposo, X, De la Cruz Valencia, C, Zanobetti, A, Zeka, A
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/157580
Resumo: Background: Climate change can directly impact temperature-related excess deaths and might subsequently change the seasonal variation in mortality. In this study, we aimed to provide a systematic and comprehensive assessment of potential future changes in the seasonal variation, or seasonality, of mortality across different climate zones. Methods: In this modelling study, we collected daily time series of mean temperature and mortality (all causes or non-external causes only) via the Multi-Country Multi-City Collaborative (MCC) Research Network. These data were collected during overlapping periods, spanning from Jan 1, 1969 to Dec 31, 2020. We projected daily mortality from Jan 1, 2000 to Dec 31, 2099, under four climate change scenarios corresponding to increasing emissions (Shared Socioeconomic Pathways [SSP] scenarios SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). We compared the seasonality in projected mortality between decades by its shape, timings (the day-of-year) of minimum (trough) and maximum (peak) mortality, and sizes (peak-to-trough ratio and attributable fraction). Attributable fraction was used to measure the burden of seasonality of mortality. The results were summarised by climate zones. Findings: The MCC dataset included 126 809 537 deaths from 707 locations within 43 countries or areas. After excluding the only two polar locations (both high-altitude locations in Peru) from climatic zone assessments, we analysed 126 766 164 deaths in 705 locations aggregated in four climate zones (tropical, arid, temperate, and continental). From the 2000s to the 2090s, our projections showed an increase in mortality during the warm seasons and a decrease in mortality during the cold seasons, albeit with mortality remaining high during the cold seasons, under all four SSP scenarios in the arid, temperate, and continental zones. The magnitude of this changing pattern was more pronounced under the high-emission scenarios (SSP3-7.0 and SSP5-8.5), substantially altering the shape of seasonality of mortality and, under the highest emission scenario (SSP5-8.5), shifting the mortality peak from cold seasons to warm seasons in arid, temperate, and continental zones, and increasing the size of seasonality in all zones except the arid zone by the end of the century. In the 2090s compared with the 2000s, the change in peak-to-trough ratio (relative scale) ranged from 0·96 to 1·11, and the change in attributable fraction ranged from 0·002% to 0·06% under the SSP5-8.5 (highest emission) scenario. Interpretation: A warming climate can substantially change the seasonality of mortality in the future. Our projections suggest that health-care systems should consider preparing for a potentially increased demand during warm seasons and sustained high demand during cold seasons, particularly in regions characterised by arid, temperate, and continental climates. Funding: The Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency, provided by the Ministry of the Environment of Japan. © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
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spelling Seasonality of mortality under climate change: a multicountry projection studyBackground: Climate change can directly impact temperature-related excess deaths and might subsequently change the seasonal variation in mortality. In this study, we aimed to provide a systematic and comprehensive assessment of potential future changes in the seasonal variation, or seasonality, of mortality across different climate zones. Methods: In this modelling study, we collected daily time series of mean temperature and mortality (all causes or non-external causes only) via the Multi-Country Multi-City Collaborative (MCC) Research Network. These data were collected during overlapping periods, spanning from Jan 1, 1969 to Dec 31, 2020. We projected daily mortality from Jan 1, 2000 to Dec 31, 2099, under four climate change scenarios corresponding to increasing emissions (Shared Socioeconomic Pathways [SSP] scenarios SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). We compared the seasonality in projected mortality between decades by its shape, timings (the day-of-year) of minimum (trough) and maximum (peak) mortality, and sizes (peak-to-trough ratio and attributable fraction). Attributable fraction was used to measure the burden of seasonality of mortality. The results were summarised by climate zones. Findings: The MCC dataset included 126 809 537 deaths from 707 locations within 43 countries or areas. After excluding the only two polar locations (both high-altitude locations in Peru) from climatic zone assessments, we analysed 126 766 164 deaths in 705 locations aggregated in four climate zones (tropical, arid, temperate, and continental). From the 2000s to the 2090s, our projections showed an increase in mortality during the warm seasons and a decrease in mortality during the cold seasons, albeit with mortality remaining high during the cold seasons, under all four SSP scenarios in the arid, temperate, and continental zones. The magnitude of this changing pattern was more pronounced under the high-emission scenarios (SSP3-7.0 and SSP5-8.5), substantially altering the shape of seasonality of mortality and, under the highest emission scenario (SSP5-8.5), shifting the mortality peak from cold seasons to warm seasons in arid, temperate, and continental zones, and increasing the size of seasonality in all zones except the arid zone by the end of the century. In the 2090s compared with the 2000s, the change in peak-to-trough ratio (relative scale) ranged from 0·96 to 1·11, and the change in attributable fraction ranged from 0·002% to 0·06% under the SSP5-8.5 (highest emission) scenario. Interpretation: A warming climate can substantially change the seasonality of mortality in the future. Our projections suggest that health-care systems should consider preparing for a potentially increased demand during warm seasons and sustained high demand during cold seasons, particularly in regions characterised by arid, temperate, and continental climates. Funding: The Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency, provided by the Ministry of the Environment of Japan. © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseElsevier20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/157580eng2542-519610.1016/S2542-5196(23)00269-3Madaniyazi, LArmstrong, BTobias, AMistry, MNBell, MLUrban, AKyselý, JRyti, NCvijanovic, INg, CFSRoye, DVicedo-Cabrera, AMTong, SLavigne, EÍñiguez, Cda Silva, SDNPMadureira, JJaakkola, JJKSera, FHonda, YGasparrini, AHashizume, MAbrutzky, RAcquaotta, FAlahmad, BAnalitis, ACarlsen, HKCarrasco-Escobar, Gde Sousa Zanotti Stagliorio Coelho, MColistro, VMatus Correa, PDang, TNde'Donato, FHurtado Diaz, MDung, DVEntezari, AForsberg, BGoodman, PGuo, YLGuo, YHolobaca, I-HHouthuijs, DHuber, VIndermitte, EKan, HKatsouyanni, KKim, YKim, HLee, WLi, SMayvaneh, FMichelozzi, POrru, HValdés Ortega, NOsorio, SOvercenco, APan, S-CPascal, MRagettli, MSRao, SRaz, RSaldiva, PHNSchneider, ASchwartz, JScovronick, NSeposo, XDe la Cruz Valencia, CZanobetti, AZeka, Ainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-09-27T07:40:24Zoai:repositorio-aberto.up.pt:10216/157580Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-09-27T07:40:24Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Seasonality of mortality under climate change: a multicountry projection study
title Seasonality of mortality under climate change: a multicountry projection study
spellingShingle Seasonality of mortality under climate change: a multicountry projection study
Madaniyazi, L
title_short Seasonality of mortality under climate change: a multicountry projection study
title_full Seasonality of mortality under climate change: a multicountry projection study
title_fullStr Seasonality of mortality under climate change: a multicountry projection study
title_full_unstemmed Seasonality of mortality under climate change: a multicountry projection study
title_sort Seasonality of mortality under climate change: a multicountry projection study
author Madaniyazi, L
author_facet Madaniyazi, L
Armstrong, B
Tobias, A
Mistry, MN
Bell, ML
Urban, A
Kyselý, J
Ryti, N
Cvijanovic, I
Ng, CFS
Roye, D
Vicedo-Cabrera, AM
Tong, S
Lavigne, E
Íñiguez, C
da Silva, SDNP
Madureira, J
Jaakkola, JJK
Sera, F
Honda, Y
Gasparrini, A
Hashizume, M
Abrutzky, R
Acquaotta, F
Alahmad, B
Analitis, A
Carlsen, HK
Carrasco-Escobar, G
de Sousa Zanotti Stagliorio Coelho, M
Colistro, V
Matus Correa, P
Dang, TN
de'Donato, F
Hurtado Diaz, M
Dung, DV
Entezari, A
Forsberg, B
Goodman, P
Guo, YL
Guo, Y
Holobaca, I-H
Houthuijs, D
Huber, V
Indermitte, E
Kan, H
Katsouyanni, K
Kim, Y
Kim, H
Lee, W
Li, S
Mayvaneh, F
Michelozzi, P
Orru, H
Valdés Ortega, N
Osorio, S
Overcenco, A
Pan, S-C
Pascal, M
Ragettli, MS
Rao, S
Raz, R
Saldiva, PHN
Schneider, A
Schwartz, J
Scovronick, N
Seposo, X
De la Cruz Valencia, C
Zanobetti, A
Zeka, A
author_role author
author2 Armstrong, B
Tobias, A
Mistry, MN
Bell, ML
Urban, A
Kyselý, J
Ryti, N
Cvijanovic, I
Ng, CFS
Roye, D
Vicedo-Cabrera, AM
Tong, S
Lavigne, E
Íñiguez, C
da Silva, SDNP
Madureira, J
Jaakkola, JJK
Sera, F
Honda, Y
Gasparrini, A
Hashizume, M
Abrutzky, R
Acquaotta, F
Alahmad, B
Analitis, A
Carlsen, HK
Carrasco-Escobar, G
de Sousa Zanotti Stagliorio Coelho, M
Colistro, V
Matus Correa, P
Dang, TN
de'Donato, F
Hurtado Diaz, M
Dung, DV
Entezari, A
Forsberg, B
Goodman, P
Guo, YL
Guo, Y
Holobaca, I-H
Houthuijs, D
Huber, V
Indermitte, E
Kan, H
Katsouyanni, K
Kim, Y
Kim, H
Lee, W
Li, S
Mayvaneh, F
Michelozzi, P
Orru, H
Valdés Ortega, N
Osorio, S
Overcenco, A
Pan, S-C
Pascal, M
Ragettli, MS
Rao, S
Raz, R
Saldiva, PHN
Schneider, A
Schwartz, J
Scovronick, N
Seposo, X
De la Cruz Valencia, C
Zanobetti, A
Zeka, A
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author
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dc.contributor.author.fl_str_mv Madaniyazi, L
Armstrong, B
Tobias, A
Mistry, MN
Bell, ML
Urban, A
Kyselý, J
Ryti, N
Cvijanovic, I
Ng, CFS
Roye, D
Vicedo-Cabrera, AM
Tong, S
Lavigne, E
Íñiguez, C
da Silva, SDNP
Madureira, J
Jaakkola, JJK
Sera, F
Honda, Y
Gasparrini, A
Hashizume, M
Abrutzky, R
Acquaotta, F
Alahmad, B
Analitis, A
Carlsen, HK
Carrasco-Escobar, G
de Sousa Zanotti Stagliorio Coelho, M
Colistro, V
Matus Correa, P
Dang, TN
de'Donato, F
Hurtado Diaz, M
Dung, DV
Entezari, A
Forsberg, B
Goodman, P
Guo, YL
Guo, Y
Holobaca, I-H
Houthuijs, D
Huber, V
Indermitte, E
Kan, H
Katsouyanni, K
Kim, Y
Kim, H
Lee, W
Li, S
Mayvaneh, F
Michelozzi, P
Orru, H
Valdés Ortega, N
Osorio, S
Overcenco, A
Pan, S-C
Pascal, M
Ragettli, MS
Rao, S
Raz, R
Saldiva, PHN
Schneider, A
Schwartz, J
Scovronick, N
Seposo, X
De la Cruz Valencia, C
Zanobetti, A
Zeka, A
description Background: Climate change can directly impact temperature-related excess deaths and might subsequently change the seasonal variation in mortality. In this study, we aimed to provide a systematic and comprehensive assessment of potential future changes in the seasonal variation, or seasonality, of mortality across different climate zones. Methods: In this modelling study, we collected daily time series of mean temperature and mortality (all causes or non-external causes only) via the Multi-Country Multi-City Collaborative (MCC) Research Network. These data were collected during overlapping periods, spanning from Jan 1, 1969 to Dec 31, 2020. We projected daily mortality from Jan 1, 2000 to Dec 31, 2099, under four climate change scenarios corresponding to increasing emissions (Shared Socioeconomic Pathways [SSP] scenarios SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). We compared the seasonality in projected mortality between decades by its shape, timings (the day-of-year) of minimum (trough) and maximum (peak) mortality, and sizes (peak-to-trough ratio and attributable fraction). Attributable fraction was used to measure the burden of seasonality of mortality. The results were summarised by climate zones. Findings: The MCC dataset included 126 809 537 deaths from 707 locations within 43 countries or areas. After excluding the only two polar locations (both high-altitude locations in Peru) from climatic zone assessments, we analysed 126 766 164 deaths in 705 locations aggregated in four climate zones (tropical, arid, temperate, and continental). From the 2000s to the 2090s, our projections showed an increase in mortality during the warm seasons and a decrease in mortality during the cold seasons, albeit with mortality remaining high during the cold seasons, under all four SSP scenarios in the arid, temperate, and continental zones. The magnitude of this changing pattern was more pronounced under the high-emission scenarios (SSP3-7.0 and SSP5-8.5), substantially altering the shape of seasonality of mortality and, under the highest emission scenario (SSP5-8.5), shifting the mortality peak from cold seasons to warm seasons in arid, temperate, and continental zones, and increasing the size of seasonality in all zones except the arid zone by the end of the century. In the 2090s compared with the 2000s, the change in peak-to-trough ratio (relative scale) ranged from 0·96 to 1·11, and the change in attributable fraction ranged from 0·002% to 0·06% under the SSP5-8.5 (highest emission) scenario. Interpretation: A warming climate can substantially change the seasonality of mortality in the future. Our projections suggest that health-care systems should consider preparing for a potentially increased demand during warm seasons and sustained high demand during cold seasons, particularly in regions characterised by arid, temperate, and continental climates. Funding: The Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency, provided by the Ministry of the Environment of Japan. © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
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
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/157580
url https://hdl.handle.net/10216/157580
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2542-5196
10.1016/S2542-5196(23)00269-3
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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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