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-The White and Pagano (WP) estimator uses maximum likelihood estimation to estimate <em>R</em><sub>0</sub>.
-In this method, the serial interval (SI) is either known, or can be estimated along with <em>R</em><sub>0</sub>.
-It is assumed that the number of infectious individuals are observable at discrete time points (ie. daily or weekly).
-Further, this method also assumes an underlying branching process, which means that throughout, the population size “available” to be infected remains constant.
-We note that this assumption does not hold for the SIR/SEIR/SEAIR compartmental models.
-As such, WP estimates should only really be considered early on in an epidemic, ie. before the inflection point of an epidemic, if the dataset being used follows these models.