Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28934
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dc.contributor.authorArmstrong, B-
dc.contributor.authorTobias, A-
dc.contributor.authorMistry, MN-
dc.contributor.authorBell, ML-
dc.contributor.authorUrban, A-
dc.contributor.authorKyselý, J-
dc.contributor.authorRyti, N-
dc.contributor.authorCvijanovic, I-
dc.contributor.authorNg, CFS-
dc.contributor.authorRoye, D-
dc.contributor.authorVicedo-Cabrera, AM-
dc.contributor.authorTong, S-
dc.contributor.authorLavigne, E-
dc.contributor.authorÍñiguez, C-
dc.contributor.authorda Silva, SDNP-
dc.contributor.authorMadureira, J-
dc.contributor.authorJaakkola, JJK-
dc.contributor.authorSera, F-
dc.contributor.authorHonda, Y-
dc.contributor.authorGasparrini, A-
dc.contributor.authorHashizume, M-
dc.contributor.authorAbrutzky, R-
dc.contributor.authorAcquaotta, F-
dc.contributor.authorAlahmad, B-
dc.contributor.authorAnalitis, A-
dc.contributor.authorCarlsen, HK-
dc.contributor.authorCarrasco-Escobar, G-
dc.contributor.authorde Sousa Zanotti Stagliorio Coelho, M-
dc.contributor.authorColistro, V-
dc.contributor.authorMatus Correa, P-
dc.contributor.authorDang, TN-
dc.contributor.authorde'Donato, F-
dc.contributor.authorHurtado Diaz, M-
dc.contributor.authorDung, DV-
dc.contributor.authorEntezari, A-
dc.contributor.authorForsberg, B-
dc.contributor.authorGoodman, P-
dc.contributor.authorGuo, YL-
dc.contributor.authorGuo, Y-
dc.contributor.authorHolobaca, I-H-
dc.contributor.authorHouthuijs, D-
dc.contributor.authorHuber, V-
dc.contributor.authorIndermitte, E-
dc.contributor.authorKan, H-
dc.contributor.authorKatsouyanni, K-
dc.contributor.authorKim, Y-
dc.contributor.authorKim, H-
dc.contributor.authorLee, W-
dc.contributor.authorLi, S-
dc.contributor.authorMayvaneh, F-
dc.contributor.authorMichelozzi, P-
dc.contributor.authorOrru, H-
dc.contributor.authorValdés Ortega, N-
dc.contributor.authorOsorio, S-
dc.contributor.authorOvercenco, A-
dc.contributor.authorPan, S-C-
dc.contributor.authorPascal, M-
dc.contributor.authorRagettli, MS-
dc.contributor.authorRao, S-
dc.contributor.authorRaz, R-
dc.contributor.authorSaldiva, PHN-
dc.contributor.authorSchneider, A-
dc.contributor.authorSchwartz, J-
dc.contributor.authorScovronick, N-
dc.contributor.authorSeposo, X-
dc.contributor.authorDe la Cruz Valencia, C-
dc.contributor.authorZanobetti, A-
dc.contributor.authorZeka, A-
dc.contributor.otherMulti-Country Multi-City Collaborative Research Network-
dc.date.accessioned2024-05-06T09:01:47Z-
dc.date.available2024-05-06T09:01:47Z-
dc.date.issued2024-02-06-
dc.identifierORCiD: Ariana Zeka https://orcid.org/0000-0002-9570-8831-
dc.identifier.citationMadaniyazi, L. et al. on behalf of the Multi-Country Multi-City Collaborative Research Network (2024) 'Seasonality of mortality under climate change: a multicountry projection study', The Lancet Planetary Health, 8 (2), pp. e86 - e94. doi: 10.1016/s2542-5196(23)00269-3.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/28934-
dc.descriptionData sharing: All data used in our study were obtained from the MCC Collaborative Research Network under a data-sharing agreement and cannot be made publicly available. Researchers can refer to collaborators of the Network, who are listed as coauthors of this Article (primary contact: Antonio Gasparrini, Antonio.Gasparrini@lshtm.ac.uk), for information on accessing the data for each country. The R code is available on request, and a reproducible example is publicly available on the personal GitHub website of the first author (https://github.com/LinaMadaniyazi).en_US
dc.descriptionFor more on the MCC see https://mccstudy.lshtm.ac.uk/-
dc.descriptionSupplementary Material is available online at: https://www.sciencedirect.com/science/article/pii/S2542519623002693#sec1 .-
dc.description.abstractBackground: 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.en_US
dc.description.sponsorshipThis study was primarily supported by the Environment Research and Technology Development Fund (grant number JPMEERF20231007) of the Environmental Restoration and Conservation Agency, provided by the Ministry of the Environment of Japan. MH was supported by the Japan Science and Technology Agency as part of the Strategic International Collaborative Research Program (grant number JPMJSC20E4). AG was supported by the UK Medical Research Council (grant number MR/V034162/1) and the EU's Horizon 2020 research project Exhaustion (grant number 820655). AU and JK were supported by the Czech Science Foundation (project 22–24920S). JJKJ was supported by the Academy of Finland (grant number 310372; Global Health Risks Related to Atmospheric Composition and Weather Consortium). FS was supported by the Italian Ministry of University and Research, Department of Excellence project 2023–2027, Rethinking Data Science—Department of Statistics, Computer Science and Applications—University of Florence.en_US
dc.format.extente86 - e94-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.urihttps://github.com/LinaMadaniyazi-
dc.relation.urihttps://mccstudy.lshtm.ac.uk/-
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2542519623002693-
dc.rightsCopyright © 2023 The Author(s). Published by Elsevier Ltd. User license: Creative Commons Attribution – NonCommercial – NoDerivs (CC BY-NC-ND 4.0) | How you can reuse (https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en).-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titleSeasonality of mortality under climate change: a multicountry projection studyen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/s2542-5196(23)00269-3-
dc.relation.isPartOfThe Lancet Planetary Health-
pubs.issue2-
pubs.publication-statusPublished-
pubs.volume8-
dc.identifier.eissn2542-5196-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en-
dc.rights.holderThe Author(s)-
Appears in Collections:Institute for the Environment
Dept of Life Sciences Research Papers

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