Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities

Luiza Lober, Kirstin O. Roster, Francisco A. Rodrigues

Supervised machine learning models and public surveillance data has been employed for infectious disease forecasting in many settings. These models leverage various data sources ca…