Optimizing the precision of case fatality ratio estimates under the surveillance pyramid approach.

ABSTRACT: In the management of emerging infectious disease epidemics, precise and accurate estimation of severity indices, such as the probability of death after developing symptoms-the symptomatic case fatality ratio (sCFR)-is essential. Estimation of the sCFR may require merging data gathered through different surveillance systems and surveys. Since different surveillance strategies provide different levels of precision and accuracy, there is need for a theory to help investigators select the strategy that maximizes these properties. Here, we study the precision of sCFR estimators that combine data from several levels of the severity pyramid. We derive a formula for the standard error, which helps us find the estimator with the best precision given fixed resources. We further propose rules of thum

SUBMITTER: Pelat C 

PROVIDER: S-EPMC4240167 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature