TY - JOUR
T1 - Seasonality of mortality under climate change
T2 - a multicountry projection study
AU - Multi-Country Multi-City Collaborative Research Network
AU - Madaniyazi, Lina
AU - Armstrong, Ben
AU - Tobias, Aurelio
AU - Mistry, Malcolm N.
AU - Bell, Michelle L.
AU - Urban, Aleš
AU - Kyselý, Jan
AU - Ryti, Niilo
AU - Cvijanovic, Ivana
AU - Ng, Chris Fook Sheng
AU - Roye, Dominic
AU - Vicedo-Cabrera, Ana Maria
AU - Tong, Shilu
AU - Lavigne, Eric
AU - Íñiguez, Carmen
AU - da Silva, Susana das Neves Pereira
AU - Madureira, Joana
AU - Jaakkola, Jouni J.K.
AU - Sera, Francesco
AU - Honda, Yasushi
AU - Gasparrini, Antonio
AU - Hashizume, Masahiro
AU - Abrutzky, Rosana
AU - Acquaotta, Fiorella
AU - Alahmad, Barrak
AU - Analitis, Antonis
AU - Carlsen, Hanne Krage
AU - Carrasco-Escobar, Gabriel
AU - de Sousa Zanotti Stagliorio Coelho, Micheline
AU - Colistro, Valentina
AU - Matus Correa, Patricia
AU - Dang, Tran Ngoc
AU - de'Donato, Francesca
AU - Hurtado Diaz, Magali
AU - Dung, Do Van
AU - Entezari, Alireza
AU - Forsberg, Bertil
AU - Goodman, Patrick
AU - Guo, Yue Leon
AU - Guo, Yuming
AU - Holobaca, Iulian Horia
AU - Houthuijs, Danny
AU - Huber, Veronika
AU - Indermitte, Ene
AU - Kan, Haidong
AU - Katsouyanni, Klea
AU - Kim, Yoonhee
AU - Kim, Ho
AU - Lee, Whanhee
AU - Raz, Raanan
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
PY - 2024/2
Y1 - 2024/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85184478036&partnerID=8YFLogxK
U2 - 10.1016/S2542-5196(23)00269-3
DO - 10.1016/S2542-5196(23)00269-3
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C2 - 38331534
AN - SCOPUS:85184478036
SN - 2542-5196
VL - 8
SP - e86-e94
JO - The Lancet Planetary Health
JF - The Lancet Planetary Health
IS - 2
ER -