The use of Predictive Models as a Tool to Fight Dengue and to Improve Public Health

Abstract

Dengue has become a global concern due to the number of populations threatened by the disease, especially in countries with tropical climates, and the ease of adaptation of the transmitting mosquito to new environments. Thus, the objective of this work is to demonstrate a predictive model based on meteorological and dengue data mining organized in an Excel spreadsheet. Organized data allow for the generation of association and classification rules through the CBA software so that public administrations can plan preventive actions to control disease outbreaks. Based on the association and classification rules, it was possible to prepare a forecast of the occurrence of dengue of up to 10 weeks, as proposed in the research.