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| author | Tatiana Krikella <106450627+TKrikella@users.noreply.github.com> | 2024-11-14 12:55:17 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-11-14 12:55:17 -0500 |
| commit | 23702578642dcf54608777bb40d5be322aaee074 (patch) | |
| tree | 9899fd14d53f5d6481ea04b35c3669504657193c | |
| parent | 042a3cc17d711ecb49b828c7d8fdf8383db9bea9 (diff) | |
Update id.html
| -rw-r--r-- | inst/app/templates/content/estimation/about-estimators/id.html | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/inst/app/templates/content/estimation/about-estimators/id.html b/inst/app/templates/content/estimation/about-estimators/id.html index 3200c00..fc70b1c 100644 --- a/inst/app/templates/content/estimation/about-estimators/id.html +++ b/inst/app/templates/content/estimation/about-estimators/id.html @@ -1,5 +1,3 @@ -The incidence decay (ID) estimator assumes an exponential model and finds the parameters by minimizing the sum of the -squared differences between the observed cases counts and the case counts expected based on the assumed model. -The method assumes that the serial interval is known. This means that the user needs to input the value of the serial -interval. The serial interval is the average time between the first infection and the time the first infected individual -exhibits disease symptoms. +The Incidence Decay (ID) estimator uses the method of least squares to estimate <em>R</em><sub>0</sub>. +This method assumes the serial interval is known, and is built under the SIR assumption. +We note that the use of this method might result in the underestimation of <em>R</em><sub>0</sub>. |