Malaria Risk Exposure Prediction

"Malaria Risk Exposure Prediction" is a model that utilizes big data and machine learning technologies to forecast the risk of malaria transmission by analyzing environmental, climatic, and socioeconomic factors. This model aims to provide precise risk assessments for public health departments, optimizing resource allocation and control measures to reduce the incidence and mortality of malaria, thereby enhancing the efficiency of disease prevention and control.