Taizi Honorato|Priscila Pagung de Aquino Lapa|Carolina Maia Martins Sales|Bárbara Reis-Santos|Ricardo Tristão Sá|Adelmo Inácio Bertolde|Ethel Leonor Nóia Maciel
Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model
Universidade Federal do Espírito Santo|Universidade Federal do Espírito Santo|Universidade Federal do Espírito Santo|Universidade Federal de Pelotas|Universidade Federal do Espírito Santo|Universidade Federal do Espírito Santo
study relationship risk dengue sociodemographic variables use spatial regression models fully bayesian municipalities esprito santo 2010this ecological study exploration used spatial analysis tools preparing thematic maps data obtained sinannet analysis area taking unit municipalities state performed thematic maps constructed computer program r 21500 deviance information criterion dic calculated winbugs absolut normalized mean error nmae criteria used compare modelswe able geocode 21933 dengue cases rate 62399 cases per 100 thousand habitants higher incidence municipalities vitria serra colatina model spatial effect covariates trash income showed best performance dic nmae criteriait possible identify relationship dengue factors outside health sector identify areas higher risk disease