To construct a likelihood function, we start with a statistical model that describes the relationship between the observed data and the parameters of interest. For example, in the context of infectious diseases, we might use a Poisson model to describe the number of new cases per day. The likelihood function is then the joint probability of observing the data, given the parameters.
