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| -rw-r--r-- | inst/app/templates/content/estimation/about-estimators/wp.html | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/inst/app/templates/content/estimation/about-estimators/wp.html b/inst/app/templates/content/estimation/about-estimators/wp.html index 640b44d..c6f4580 100644 --- a/inst/app/templates/content/estimation/about-estimators/wp.html +++ b/inst/app/templates/content/estimation/about-estimators/wp.html @@ -1 +1,6 @@ -This is a short description of the WP method. +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. |