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dc.contributor.authorOviedo de La Fuente, Manuel
dc.contributor.authorDomínguez García, Angela
dc.contributor.authorMuñoz Gracia, María del Pilar
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2015-03-31T18:04:48Z
dc.date.available2015-03-31T18:04:48Z
dc.date.created2015-01-01
dc.date.issued2015-01-01
dc.identifier.citationOviedo De La, M.; Domínguez, A.; Muñoz, M.P. Estimate of influenza cases using generalized linear, additive and mixed models. "Human Vaccines & Immunotherapeutics", 01 Gener 2015, vol. 11, núm. 1, p. 298-301.
dc.identifier.issn2164-5515
dc.identifier.urihttp://hdl.handle.net/2117/27118
dc.description.abstractWe investigated the relationship between reported cases of influenza in Catalonia (Spain). Covariates analyzed were: population, age, data of report of influenza, and health region during 2010-2014 using data obtained from the SISAP program (Institut Catala de la Salut, Generalitat of Catalonia). Reported cases were related with the study of covariates using a descriptive analysis. Generalized Linear Models, Generalized Additive Models and Generalized Additive Mixed Models were used to estimate the evolution of the transmission of influenza. Additive models can estimate non-linear effects of the covariates by smooth functions; and mixed models can estimate data dependence and variability in factor variables using correlations structures and random effects, respectively. The incidence rate of influenza was calculated as the incidence per 100000 people. The mean rate was 13.75 (range 0-27.5) in the winter months (December, January, February) and 3.38 (range 0-12.57) in the remaining months. Statistical analysis showed that Generalized Additive Mixed Models were better adapted to the temporal evolution of influenza (serial correlation 0.59) than classical linear models.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherLandes Bioscience
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
dc.subject.lcshBiometry
dc.subject.otherInfluenza
dc.subject.othermortality
dc.subject.otherincidence rate
dc.subject.otherhospitalization
dc.subject.otherMortality
dc.subject.otherCatalonia
dc.subject.otherSpain
dc.titleEstimate of influenza cases using generalized linear, additive and mixed models
dc.typeArticle
dc.subject.lemacEstadística aplicada -- Medicina
dc.subject.lemacBiometria
dc.contributor.groupUniversitat Politècnica de Catalunya. LIAM - Laboratori de Modelització i Anàlisi de la Informació
dc.identifier.doi10.4161/hv.36168
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.tandfonline.com/doi/full/10.4161/hv.36168#abstract
dc.rights.accessOpen Access
drac.iddocument15536793
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorOviedo De La, M.; Domínguez, A.; Muñoz, M.P.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameHuman Vaccines & Immunotherapeutics
upcommons.citation.volume11
upcommons.citation.number1
upcommons.citation.startingPage298
upcommons.citation.endingPage301


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