Epipredict leverages various types of data, including epidemiological surveillance data, demographic information, environmental factors, and social behavior patterns. These data inputs are processed through computational models that account for disease transmission dynamics, population movement, and other relevant factors. The output is a set of predictions that can inform public health strategies.