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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Mistry, Malcolm N. | - |
| dc.contributor.author | Schneider, Rochelle | - |
| dc.contributor.author | Masselot, Pierre | - |
| dc.contributor.author | Royé, Dominic | - |
| dc.contributor.author | Armstrong, Ben | - |
| dc.contributor.author | Colistro, Valentina | - |
| dc.date.accessioned | 2026-04-21T15:03:13Z | - |
| dc.date.available | 2026-04-21T15:03:13Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Mistry M, Schneider R, Masselot P y otros. Comparison of weather station and climate reanalysis data for modelling temperature‑related mortality. Scientific Reports [en línea]. 2022;12(1). 14 p. | es |
| dc.identifier.uri | https://hdl.handle.net/20.500.12008/54511 | - |
| dc.description | Malcolm N. Mistry1,2*, Rochelle Schneider1,3,4,5, Pierre Masselot1, Dominic Royé6,7, Ben Armstrong1,3, Jan Kyselý8,9, Hans Orru10, Francesco Sera1,11, Shilu Tong12,13,14,15, Éric Lavigne16,17, Aleš Urban8,9, Joana Madureira18,19, David García‑León20, Dolores Ibarreta20, Juan‑Carlos Ciscar20, Luc Feyen21, Evan de Schrijver22,23,24, Micheline de Sousa Zanotti Stagliorio Coelho25, Mathilde Pascal26, Aurelio Tobias27,28, Multi‑Country Multi‑City (MCC) Collaborative Research Network*, Yuming Guo29,30, Ana M. Vicedo‑Cabrera 23,24 & Antonio Gasparrini1,3,31 Multi‑Country Multi‑City (MCC) Collaborative Research Network Barrak Alahmad32, Rosana Abrutzky33, Paulo Hilario Nascimento Saldiva25, Patricia Matus Correa34, Nicolás Valdés Orteg34, Haidong Kan35, Samuel Osorio36, Ene Indermitte10, Jouni J. K. Jaakkola37,38, Niilo Ryti37,38, Alexandra Schneider39, Veronika Huber40,41, Klea Katsouyanni42,43, Antonis Analitis42, Alireza Entezari44, Fatemeh Mayvaneh44, Paola Michelozzi45, Francesca de’Donato45, Masahiro Hashizume46, Yoonhee Kim47, Magali Hurtado Diaz48, César De la Cruz Valencia48, Ala Overcenco49, Danny Houthuijs50, Caroline Ameling50, Shilpa Rao51, Xerxes Seposo52, Baltazar Nunes18,53, Iulian‑Horia Holobaca54, Ho Kim55, Whanhee Lee56, Carmen Íñiguez57,58, Bertil Forsberg59, Christofer Åström59, Martina S. Ragettli60,61, Yue‑Liang Leon Guo62,63,64, Bing‑Yu Chen63, Valentina Colistro65, Antonella Zanobetti32, Joel Schwartz32, Tran Ngoc Dang66,67 & Do Van Dung67 32Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, USA. 33Facultad de Ciencias Sociales, Instituto de Investigaciones Gino Germani, Universidad de Buenos Aires, Buenos Aires, Argentina. 34Department of Public Health, Universidad de los Andes, Santiago, Chile. 35Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China. 36Department of Environmental Health, University of São Paulo, São Paulo, Brazil. 37Center for Environmental and Respiratory Health Research (CERH), University of Oulu, Oulu, Finland. 38Medical Research Center Oulu (MRC Oulu), Oulu University Hospital and University of Oulu, Oulu, Finland. 39Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany. 40IBE-Chair of Epidemiology, LudwigMaximilians-Universität (LMU), Munich, Germany. 41Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide, Seville, Spain. 42Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece. 43School of Population Health and Environmental Sciences, King’s College, London, UK. 44Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Khorasan Razavi, Iran. 45Department of Epidemiology, Lazio Regional Health Service, Rome, Italy. 46Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. 47Department of Global Environmental Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. 48Department of Environmental Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico. 49National Agency for Public Health of the Ministry of Health, Labour and Social Protection of the Republic of Moldova, Chișinău, Republic of Moldova. 50National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven, The Netherlands. 51Norwegian Institute of Public Health, Oslo, Norway. 52School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan. 53Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisbon, Portugal. 54Faculty of Geography, Babes-Bolay University, Cluj-Napoca, Romania. 55Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea. 56School of the Environment, Yale University, New Haven, USA. 57Department of Statistics and Computational Research, Universitat de València, València, Spain. 58Ciberesp, Madrid, Spain. 59Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. 60Swiss Tropical and Public Health Institute, Basel, Switzerland. 61University of Basel, Basel, Switzerland. 62Environmental and Occupational Medicine, and Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan, ROC. 63National Institute of Environmental Health Science, National Health Research Institutes, Zhunan, Taiwan, ROC. 64NTU Hospital, Taipei, Taiwan, ROC. 65Department of Quantitative Methods, School of Medicine, University of the Republic, Montevideo, Uruguay. 66Institute of Research and Development, Duy Tan University, Da Nang, Vietnam. 67Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam. | es |
| dc.description.abstract | Epidemiological analyses of health risks associated with non‑optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio‑temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperaturerelated health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station‑based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non‑optimal temperature‑related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat‑related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature‑related risk. | es |
| dc.format.extent | 14 p.; 1 p. | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | en | es |
| dc.publisher | Nature Portfolio | es |
| dc.relation.ispartof | Scientific Reports. 2022;12(1) | es |
| dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.subject.other | CLIMA | es |
| dc.subject.other | CAMBIO CLIMÁTICO | es |
| dc.subject.other | MODELOS CLOMÁTICOS | es |
| dc.subject.other | TEMPERATURAS EXTREMAS | es |
| dc.subject.other | TEMPERATURA | es |
| dc.subject.other | EPIDEMIOLOGÍA | es |
| dc.subject.other | FACTORES DE RIESGO | es |
| dc.subject.other | RIESGO A LA SALUD | es |
| dc.subject.other | SALUD GLOBAL | es |
| dc.subject.other | EVALUACIÓN DEL IMPACTO EN LA SALUD | es |
| dc.title | Comparison of weather station and climate reanalysis data for modelling temperature‑related mortality | es |
| dc.title.alternative | Author correction: Comparison of weather station and climate reanalysis data for modelling temperature‑related mortality | es |
| dc.type | Artículo | es |
| dc.contributor.filiacion | Mistry Malcolm N., London School of Hygiene & Tropical Medicine (Reino Unido). Department of Public Health, Environments and Society | - |
| dc.contributor.filiacion | Schneider Rochelle, London School of Hygiene & Tropical Medicine (Reino Unido). The Centre on Climate Change & Planetary Health | - |
| dc.contributor.filiacion | Masselot Pierre, London School of Hygiene & Tropical Medicine (Reino Unido). Department of Public Health, Environments and Society | - |
| dc.contributor.filiacion | Royé Dominic, Universidad de Santiago de Compostela (España). Departamento de Geografía | - |
| dc.contributor.filiacion | Armstrong Ben, London School of Hygiene & Tropical Medicine (Reino Unido). The Centre on Climate Change & Planetary Health | - |
| dc.contributor.filiacion | Colistro Valentina, Universidad de la República (Uruguay). Facultad de Medicina. Departamento de Métodos Cuantitativos | - |
| dc.rights.licence | Licencia Creative Commons Atribución (CC - By 4.0) | es |
| dc.identifier.doi | 10.1038/s41598-022-09049-4 | - |
| dc.identifier.eissn | 2045-2322 | - |
| Aparece en las colecciones: | Publicaciones Académicas y Científicas - Facultad de Medicina | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| Comparison of weather station and climate reanalysis data.pdf | Comparison of weather station and climate reanalysis data | 2,74 MB | Adobe PDF | Visualizar/Abrir | |
| Author Correction Comparison of weather station and climate reanalysis data.pdf | Author correction: Comparison of weather station and climate reanalysis data | 482,53 kB | Adobe PDF | Visualizar/Abrir |
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