Why is Maximum Likelihood Important in Epidemiology?
In epidemiology, accurate parameter estimation is crucial for understanding disease dynamics, predicting outbreaks, and designing effective interventions. Maximum likelihood offers a robust framework for estimating parameters such as the basic reproduction number (R0), incidence rate, and prevalence. These estimates help researchers and public health officials make informed decisions.