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dc.contributor.authorTobías, A-
dc.contributor.authorHashizume, M-
dc.contributor.authorHonda, Y-
dc.contributor.authorSera, F-
dc.contributor.authorNg, CFS-
dc.contributor.authorKim, Y-
dc.contributor.authorRoye, D-
dc.contributor.authorChung, Y-
dc.contributor.authorDang, TN-
dc.contributor.authorKim, H-
dc.contributor.authorLee, W-
dc.contributor.authorÍñiguez, C-
dc.contributor.authorVicedo-Cabrera, A-
dc.contributor.authorAbrutzky, R-
dc.contributor.authorGuo, Y-
dc.contributor.authorTong, S-
dc.contributor.authorde Sousa Zanotti Stagliorio Coelho, M-
dc.contributor.authorSaldiva, PHN-
dc.contributor.authorLavigne, E-
dc.contributor.authorCorrea, PM-
dc.contributor.authorOrtega, NV-
dc.contributor.authorKan, H-
dc.contributor.authorOsorio, S-
dc.contributor.authorKyselý, J-
dc.contributor.authorUrban, A-
dc.contributor.authorOrru, H-
dc.contributor.authorIndermitte, E-
dc.contributor.authorJaakkola, JJK-
dc.contributor.authorRyti, NRI-
dc.contributor.authorPascal, M-
dc.contributor.authorHuber, V-
dc.contributor.authorSchneider, A-
dc.contributor.authorKatsouyanni, K-
dc.contributor.authorAnalitis, A-
dc.contributor.authorEntezari, A-
dc.contributor.authorMayvaneh, F-
dc.contributor.authorGoodman, P-
dc.contributor.authorZeka, A-
dc.contributor.authorMichelozzi, P-
dc.contributor.authorde'Donato, F-
dc.contributor.authorAlahmad, B-
dc.contributor.authorDiaz, MH-
dc.contributor.authorde la Cruz Valencia, C-
dc.contributor.authorOvercenco, A-
dc.contributor.authorHouthuijs, D-
dc.contributor.authorAmeling, C-
dc.contributor.authorRao, S-
dc.contributor.authorDi Ruscio, F-
dc.contributor.authorCarrasco, G-
dc.contributor.authorSeposo, X-
dc.contributor.authorNunes, B-
dc.contributor.authorMadureira, J-
dc.contributor.authorHolobaca, IH-
dc.contributor.authorScovronick, N-
dc.contributor.authorAcquaotta, F-
dc.contributor.authorForsberg, B-
dc.contributor.authorÅström, C-
dc.contributor.authorRagettli, MS-
dc.contributor.authorGuo, YLL-
dc.contributor.authorChen, BY-
dc.contributor.authorLi, S-
dc.contributor.authorColistro, V-
dc.contributor.authorZanobetti, A-
dc.contributor.authorSchwartz, J-
dc.contributor.authorvan Dung, D-
dc.contributor.authorArmstrong, B-
dc.contributor.authorGasparrini, A-
dc.date.accessioned2022-07-11T08:52:59Z-
dc.date.available2021-10-01-
dc.date.available2022-07-11T08:52:59Z-
dc.date.issued2021-10-01-
dc.identifiere169-
dc.identifier.citationTobías, A. et al. (2021) 'Geographical Variations of the Minimum Mortality Temperature at a Global Scale', Environmental Epidemiology, 5 (5), e169, pp. 1 - 7. doi:10.1097/EE9.0000000000000169.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24830-
dc.description.abstractBackground: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community’s annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community’s annual mean temperature and by 1.3 for a 1 °C rise in its SD. Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.en_US
dc.format.extent1 - 7-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.rightsCopyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.-
dc.rights.urihttps://creativecommons.org/licenses/-
dc.subjectminimum mortality temperatureen_US
dc.subjectclimateen_US
dc.subjectadaptationen_US
dc.subjecttime-seriesen_US
dc.subjectdistributed lag nonlinear modelsen_US
dc.subjectmulti-cityen_US
dc.subjectmulti-countryen_US
dc.titleGeographical Variations of the Minimum Mortality Temperature at a Global Scaleen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1097/EE9.0000000000000169-
dc.relation.isPartOfEnvironmental Epidemiology-
pubs.issue5-
pubs.publication-statusPublished-
pubs.volume5-
dc.identifier.eissn2474-7882-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Life Sciences Research Papers

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