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| author | Tatiana Krikella <106450627+TKrikella@users.noreply.github.com> | 2024-11-14 12:56:32 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-11-14 12:56:32 -0500 |
| commit | f70b6915bd4075ad8e8b7bb717b9f9dc8350be89 (patch) | |
| tree | e7fa2764ebaceb408b6b291237c8f721146b288b /inst/app/templates/content/estimation/about-estimators/idea.html | |
| parent | 23702578642dcf54608777bb40d5be322aaee074 (diff) | |
Update idea.html
Diffstat (limited to 'inst/app/templates/content/estimation/about-estimators/idea.html')
| -rw-r--r-- | inst/app/templates/content/estimation/about-estimators/idea.html | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/inst/app/templates/content/estimation/about-estimators/idea.html b/inst/app/templates/content/estimation/about-estimators/idea.html index edfbb79..798baad 100644 --- a/inst/app/templates/content/estimation/about-estimators/idea.html +++ b/inst/app/templates/content/estimation/about-estimators/idea.html @@ -1 +1,4 @@ -This is a short description of the IDEA method. +The Incidence Decay and Exponential Adjustment (ID) estimator is an alternative formulation of the Incidence Decay (ID) model which includes a decay factor to reflect the often observed outbreak decline. +This addresses the potential underestimation of the $R_0$ estimate when using the ID method. +The method of least squares is used to estimate $R_0$, and similar to the ID model, the serial interval is assumed to be known and this method is developed assuming the SIR model. +We note that, since we need to obtain a minimizer of the decay factor to solve the optimization problem, we require that the number of cases in the dataset be at least 2. |