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authorNaeem Model <me@nmode.ca>2025-01-06 23:55:43 +0000
committerNaeem Model <me@nmode.ca>2025-01-06 23:55:43 +0000
commite920b3e514e717fc05ed524267d3b53e272fec51 (patch)
tree353cfb36aca946d69da6d6dcacc0cb66177050ef /inst/app/templates/content/estimation/about-estimators/idea.html
parent2d34b71c7a8da7fd0fac59b934145286b2be7b1f (diff)
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- Rename 'app' -> 'web' - Return shiny app object in entry point function
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-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 <em>R</em><sub>0</sub> estimate when using the ID method.
-The method of least squares is used to estimate <em>R</em><sub>0</sub>, 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.