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• W64376727 abstract "The most widely used models among the Generalized Linear Models (GLM) are the logistic and the Poisson regressions. Nevertheless, in the past few years, models that are able to incorporate over-dispersion and excess zeros have arisen: hurdle and zero-inflated models. The challenge is to utilize such methodologies in a public health problem, the tick Amblyomma cajennense in rural-urban transition areas. This paper aims at studying the climatic factors that are associated to the occurrence of adult A. cajennense ticks in Seropedica and Mangaratiba/RJ, by fitting regression models. Tick collections were performed during December/2008 and September/2011. The response variable was tick count; the 48 explanatory variables were related to mean temperature (oC), relative humidity (%) and rainfall (mm). Descriptive statistics and bivariate and multivariate analyses were carried out using five types of GLM: Poisson regression, negative binomial, extra-Poisson (variance = μ; variance = μ) and ZIP (zero-inflated Poisson). Nine explanatory variables were significant at least in two bivariate models. The multivariate models showed that the best parameters were presented by ZIP models, followed by Poisson regression. These results corroborate the fact that ZIP models are the most adequate GLM to run analyses with excess zeros. We conclude that ZIP is the most adequate GLM to analyze count data of adult A. cajennense associated to climatic variables in the study field. Yet, it is possible to determine that Poisson regression can also undertake a high-standard analysis for count data with excess zeros." @default.
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• W64376727 date "2014-08-01" @default.
• W64376727 modified "2023-09-24" @default.
• W64376727 title "UTILIZAÇÃO DE MODELOS DE REGRESSÃO APLICADOS A DADOS COM INFLACIONAMENTO DE ZEROS: ESTUDO DA OCORRÊNCIA DE CARRAPATOS EM MUNICÍPIOS NO INTERIOR DO ESTADO DO RIO DE JANEIRO" @default.
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• W64376727 doi "https://doi.org/10.5151/marine-spolm2014-126515" @default.
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