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Individual and contextual risk factors for chikungunya virus infection: the SEROCHIK cross-sectional population-based study

dc.rights.licenseopenen_US
dc.contributor.authorFRED, A.
dc.contributor.authorFIANU, A.
dc.contributor.authorBERAL, M.
dc.contributor.authorGUERNIER, V.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSISSOKO, Daouda
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMECHAIN, Matthieu
dc.contributor.authorMICHAULT, A.
dc.contributor.authorBOISSON, V.
dc.contributor.authorGAUZERE, B. A.
dc.contributor.authorFAVIER, F.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMALVY, Denis
dc.contributor.authorGERARDIN, P.
dc.date.accessioned2020-11-10T09:58:54Z
dc.date.available2020-11-10T09:58:54Z
dc.date.issued2018-06
dc.identifier.issn0950-2688en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/12183
dc.description.abstractEnThe purpose of the study was to weigh the community burden of chikungunya determinants on Reunion island. Risk factors were investigated within a subset of 2101 adult persons from a population-based cross-sectional serosurvey, using Poisson regression models for dichotomous outcomes. Design-based risk ratios and population attributable fractions (PAF) were generated distinguishing individual and contextual (i.e. that affect individuals collectively) determinants. The disease burden attributable to contextual determinants was twice that of individual determinants (overall PAF value 89.5% vs. 44.1%). In a model regrouping both categories of determinants, the independent risk factors were by decreasing PAF values: an interaction term between the reporting of a chikungunya history in the neighbourhood and individual house (PAF 45.9%), a maximal temperature of the month preceding the infection higher than 28.5 degrees C (PAF 25.7%), a socio-economically disadvantaged neighbourhood (PAF 19.0%), altitude of dwelling (PAF 13.1%), cumulated rainfalls of the month preceding the infection higher than 65 mm (PAF 12.6%), occupational inactivity (PAF 11.6%), poor knowledge on chikungunya transmission (PAF 7.3%) and obesity/overweight (PAF 5.2%). Taken together, these covariates and their underlying causative factors uncovered 80.8% of chikungunya at population level. Our findings lend support to a major role of contextual risk factors in chikungunya virus outbreaks.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enIDLIC
dc.title.enIndividual and contextual risk factors for chikungunya virus infection: the SEROCHIK cross-sectional population-based study
dc.title.alternativeEpidemiol Infecten_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1017/s0950268818000341en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed29720285en_US
bordeaux.journalEpidemiology and infectionen_US
bordeaux.page1056-1064en_US
bordeaux.volume146en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue8en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamIDLICen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-02997681
hal.version1
hal.date.transferred2020-11-10T09:58:58Z
hal.exporttrue
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