nmode's Git Repositories - Rnaught/blob - inst/app/templates/content/estimation/about-estimators/wp.html

   1 The White and Pagano (WP) estimator uses maximum likelihood estimation to estimate <em>R</em><sub>0</sub>.
   2 In this method, the serial interval (SI) is either known, or can be estimated along with <em>R</em><sub>0</sub>.
   3 It is assumed that the number of infectious individuals are observable at discrete time points (ie. daily or weekly).
   4 Further, this method also assumes an underlying branching process, which means that throughout, the population size “available” to be infected remains constant.
   5 We note that this assumption does not hold for the SIR/SEIR/SEAIR compartmental models.
   6 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.