Using Climate Factors to Predict the Outbreak of Dengue Fever

Abstract

Dengue fever is a kind of serious infectious disease associating with climate. It spreads in Guangzhou with numerous cases including mortality records over the last ten years. Thus, analyzing and predicting the dengue fever to avoid an dengue outbreak and reduce the personal safety loss is urgent and necessary. In this paper, we build a prediction model based on XGBoosst algorithm to explore the relationships between multiple climate factors (such as temperature, humidity, rainfall, etc.) and incidence of dengue fever. The encouraging experimental results demonstrate the feasibility and effectiveness of our prediction model.