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dc.contributor.authorSánchez Balseca, Joseph
dc.contributor.authorPérez Foguet, Agustí
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Ambiental
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2021-05-31T15:20:12Z
dc.date.available2022-12-10T01:26:27Z
dc.date.issued2021-03
dc.identifier.citationSánchez-Balseca, J.; Pérez-Foguet, A. Influence of atmospheric parameters on human mortality data at different geographical levels. "Science of the total environment", Març 2021, vol. 759, p. 144186:1-144186:23.
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/2117/346437
dc.description.abstractHuman mortality data are often modeled using a demographic approach as a function of time. This approach does not present an adequate fit model for the number of deaths with great variability. For this reason, additional information (social, economic and environmental) is required for complementing and improving demographic modelling. This article evaluated the association between human mortality data (segregated by age and sex) with meteorological and air pollutant covariates at three geographical levels: country, macro-climate regions and county. The modelling was based on a generalized linear modelling framework and takes into account the common characteristic of overdispersion in human mortality data through the application of negative binomial distribution. The proposed approach improved the dynamic behavior of the Farrington-like model (basic demographic model) and took into account the extreme meteorological and natural air pollution events. Notably, the proposed modelling worked well in cases where the amount of data was scarce.
dc.description.sponsorshipJoseph Sánchez Balseca is the recipient of a full scholarship from the Secretaria de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT), Ecuador. We thank the research group on Engineering Sciences and Global Development (EScGD) and the Agència de Gestió d'Ajuts Universitaris i de Recerca de la Generalitat de Catalunya (Ref. 2017 SGR 1496).
dc.language.isoeng
dc.publisherElsevier
dc.rights© 2019. Elsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament humà::Salut
dc.subject.lcshAir--Pollution--Health aspects
dc.subject.otherAir quality
dc.subject.otherEnvironmental statistics
dc.subject.otherENSO
dc.subject.otherVolcanic
dc.subject.otherNegative binomial
dc.subject.otherHuman health
dc.titleInfluence of atmospheric parameters on human mortality data at different geographical levels
dc.typeArticle
dc.subject.lemacAire -- Contaminació -- Aspectes sanitaris
dc.contributor.groupUniversitat Politècnica de Catalunya. EScGD - Engineering Sciences and Global Development
dc.identifier.doi10.1016/j.scitotenv.2020.144186
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0048969720377172
dc.rights.accessOpen Access
local.identifier.drac30628744
dc.description.versionPostprint (author's final draft)
local.citation.authorSánchez-Balseca, J.; Pérez-Foguet, A.
local.citation.publicationNameScience of the total environment
local.citation.volume759
local.citation.startingPage144186:1
local.citation.endingPage144186:23


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