Ontology highlight
ABSTRACT: Background
The prevalence of Schistosoma mansoni infection is usually assessed by the Kato-Katz diagnostic technique. However, Kato-Katz thick smears have low sensitivity, especially for light infections. Egg count models fitted on individual level data can adjust for the infection intensity-dependent sensitivity and estimate the 'true' prevalence in a population. However, application of these models is complex and there is a need for adjustments that can be done without modeling expertise. This study provides estimates of the 'true' S. mansoni prevalence from population summary measures of observed prevalence and infection intensity using extensive simulations parametrized with data from different settings in sub-Saharan Africa.Methodology
An individual-level egg count mod
SUBMITTER: Barenbold O
PROVIDER: S-EPMC8062092 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature