In this work, we conducted a study of mapping of risk areas and predictions for the cases of dengue in the urban area of Belém. For predictions was related to the incidence of dengue, the precipitation using statistical models based on the methodology of Box and Jenkins time series. The period of the study ran from 05 years (2007-2011). Were used multivariate time series methods, using transfer function and spatial models, in which we analyzed the existence of spatial autocorrelation in the variable under study. The results of the analyses of the occurrence data of dengue cases and precipitation showed that the increase in the number of cases of dengue fever accompanies the increase in precipitation, showing the direct relationship between the number of cases of dengue and the precipitation in the years under study. The forecasting model built for the incidence of dengue cases presents a good fit with satisfactory results and, in this case, can be used in cases of dengue. In relation to the spatial analysis for the incidence of dengue, was a preview of the possible incidence of cases in the urban area of Belém, with the respective areas of risk, showing the significance of risk levels in percentage. For the period studied was observed the behavior and the variations of the dengue cases in the study area, with emphasis on four neighborhoods: Marco, Guamá, Pedreira and Tapanã, showing possible influences of these neighborhoods in the areas (neighborhoods) nearby. Therefore, the present study highlights the contribution to the planning of the dengue control actions, to serve as an instrument in support of decisions in the area of public health.
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