Using zero-inflated and hurdle regression models to analyze schistosomiasis data of school children in the southern areas of Ghana.

ABSTRACT:

Background

Schistosomiasis is a neglected disease prevalent in tropical and sub-tropical areas of the world, especially in Africa. Detecting the presence of the disease is based on the detection of the parasites in the stool or urine of children and adults. In such studies, typically, data collected on schistosomiasis infection includes information on many negative individuals leading to a high zero inflation. Thus, in practice, counts data with excessive zeros are common. However, the purpose of this analysis is to apply statistical models to the count data and evaluate their performance and results.

Methods

This is a secondary analysis of previously collected data. As part of a modelling process, a comparison of the Poisson regression, negative binomial regression and thei

SUBMITTER: Nketia K 

PROVIDER: S-EPMC11244785 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature