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Estimate of influenza cases using generalized linear, additive and mixed models
dc.contributor.author | Oviedo de La Fuente, Manuel |
dc.contributor.author | Domínguez García, Angela |
dc.contributor.author | Muñoz Gracia, María del Pilar |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2015-03-31T18:04:48Z |
dc.date.available | 2015-03-31T18:04:48Z |
dc.date.created | 2015-01-01 |
dc.date.issued | 2015-01-01 |
dc.identifier.citation | Oviedo 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.issn | 2164-5515 |
dc.identifier.uri | http://hdl.handle.net/2117/27118 |
dc.description.abstract | We 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.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Landes Bioscience |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària |
dc.subject.lcsh | Biometry |
dc.subject.other | Influenza |
dc.subject.other | mortality |
dc.subject.other | incidence rate |
dc.subject.other | hospitalization |
dc.subject.other | Mortality |
dc.subject.other | Catalonia |
dc.subject.other | Spain |
dc.title | Estimate of influenza cases using generalized linear, additive and mixed models |
dc.type | Article |
dc.subject.lemac | Estadística aplicada -- Medicina |
dc.subject.lemac | Biometria |
dc.contributor.group | Universitat Politècnica de Catalunya. LIAM - Laboratori de Modelització i Anàlisi de la Informació |
dc.identifier.doi | 10.4161/hv.36168 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.tandfonline.com/doi/full/10.4161/hv.36168#abstract |
dc.rights.access | Open Access |
local.identifier.drac | 15536793 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Oviedo De La, M.; Domínguez, A.; Muñoz, M.P. |
local.citation.publicationName | Human Vaccines & Immunotherapeutics |
local.citation.volume | 11 |
local.citation.number | 1 |
local.citation.startingPage | 298 |
local.citation.endingPage | 301 |
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