Corrente sem dengue: ferramenta para mapeamento coletivo de focos do mosquito da dengue na cidade de Corrente - PI

Abstract

Dengue is considered one of the most important arboviruses in the world. In Brazil, its main transmitter is the Aedes Aegypti mosquito, also known as the dengue mosquito. Among the main actions necessary to combat mosquito outbreaks, the participation of society stands out, taking care of breeding sites in their homes, backyards and denouncing other places. In this way, the use of innovative technologies such as Smartphones can become a great ally in the fight against viral diseases such as dengue. The present work aims to develop a mobile application for collective mapping of dengue mosquito outbreaks using Machine Learning techniques in the city of Corrente - PI. The development was divided into four steps such as the creation of the image bank and training of the Machine Learning model, development of the mobile application, creation of the web administrator module and the application of a questionnaire to validate the classifier and the application's functionalities. The tool developed will serve as a means of communication between the population and the agents responsible for inspections, which will enable agents to be more agile in solving problems related to mosquito breeding sites and, therefore, reduce the number of cases of dengue and other diseases transmitted by the virus. Aedes Aegypti