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Diffstat (limited to 'inst/app/templates/content/estimation/about-estimators/wp.html')
| -rw-r--r-- | inst/app/templates/content/estimation/about-estimators/wp.html | 6 |
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diff --git a/inst/app/templates/content/estimation/about-estimators/wp.html b/inst/app/templates/content/estimation/about-estimators/wp.html deleted file mode 100644 index c6f4580..0000000 --- a/inst/app/templates/content/estimation/about-estimators/wp.html +++ /dev/null @@ -1,6 +0,0 @@ -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. |