The first and foremost question to address is the goal of the study. Are you looking to predict disease outbreaks, understand the spread of a disease, identify risk factors, or evaluate the effectiveness of interventions? Different goals require different algorithms. For instance, predictive modeling might use machine learning techniques, while understanding disease spread might rely on compartmental models like SIR (Susceptible-Infectious-Recovered).
