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The effect of cold waves on mortality in urban and rural areas of Madrid
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dc.contributor.authorLópez Bueno, José Antonioes_ES
dc.contributor.authorNavas-Martín, Miguel Ángeles_ES
dc.contributor.authorDíaz Jiménez, Julioes_ES
dc.contributor.authorMirón Pérez, Isidro Juanes_ES
dc.contributor.authorLuna Rico, Yolandaes_ES
dc.contributor.authorSánchez Martínez, Gerardoes_ES
dc.contributor.authorCulqui Lévano, Dante R.es_ES
dc.contributor.authorLinares Gil, Cristinaes_ES
dc.date.accessioned2021-07-28T11:40:20Z-
dc.date.available2021-07-28T11:40:20Z-
dc.date.issued2021-
dc.identifier.citationEnvironmental Sciences Europe. 2021, 33(72), p. 1-14es_ES
dc.identifier.issn2190-4707-
dc.identifier.issn2190-4715-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/13035-
dc.description.abstractWhile many studies analyze the effect of extreme thermal events on health, little has been written about the effects of extreme cold on mortality. This scarcity of papers is particularly relevant when we search studies about extreme cold on the health of rural population. Therefore, we tried to analyze the effect of cold waves on urban areas and rural areas from Madrid and to test whether differentiated effects exist between both population classes. For this purpose, we analyzed data from the municipalities with over 10,000 inhabitants for the period from January 1, 2000 through December 31, 2013. Municipalities were classified as urban or rural (Eurostat), and they were grouped into similar climatological zones: Urban Metropolitan Centre (UMC), Rural Northern Mountains (RNM), Rural Centre (RC) and Southern Rural (SR). The dependent variable was the daily mortality rate due to natural causes per million inhabitants (CIE-X: A00-R99) that occurred between the months of November and March for the period. The independent variable was minimum daily temperature (ºC) (Tmin). Social and demographic contextual variables were used, including: population > age 64 (%), deprivation index and housing indicators. The analysis was carried out in three phases: (1) determination of the threshold temperature (Tthreshold) which defines the cold waves; (2) determination of the relative risk (RR) for cold waves using Poisson linear regression (GLM); and (3) using GLM of the binomial family, Odds Ratios (OR) were calculated to analyze the relationship between the frequency of the appearance of cold waves and the socioeconomic variables.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge the grants for projects ENPY376/18; ENPY470/19 and ENPY 107/18 from the Carlos III Institute of Health.es_ES
dc.language.isoenges_ES
dc.publisherSpringerOpenes_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectCold waveses_ES
dc.subjectMortalityes_ES
dc.subjectUrban–rurales_ES
dc.subjectDeprivationes_ES
dc.subjectBuilding qualityes_ES
dc.subjectAginges_ES
dc.titleThe effect of cold waves on mortality in urban and rural areas of Madrides_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1186/s12302-021-00512-zes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2019-2022


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