Statistical Modeling of the Effect of Meteorological Variables on Dengue Transmission

This study investigates the effects of climate variables and previous cases of dengue on current cases of dengue. The meteorological variables, average, maximum and minimum temperature, relative humidity, total precipitation, and previous cases are identified with a time interval as input parameters for artificial neural network (ANN) RNA. Specific parameters and time intervals are defined by a correlation analysis between each variable with the current dengue cases. In short, the ANN is developed as a result of this research in order to predict dengue outbreaks in the municipality of Campo Grande, with a promisng accuracy rate.