Review papers : Statistical models for estimating prevalence and incidence of parasitic diseases

Author:

de Vlas SJ1,Nagelkerke Njd2,Habbema Jdf1,van Oortmarssen GJ1

Affiliation:

1. Department of Public Health and Social Medicine, Erasmus University Rotterdam

2. International Statistical Institute, Voorburg

Abstract

The estimation of prevalence and incidence of parasitic infections is considered. As the detectability of such infections is not 100% and may furthermore depend on their intensity, statistical methods are often required to arrive at meaningful results. It appears to be essential to distinguish between parasities that multiply within the (human) host and those that do not. An overview of some models discussed in the literature is presented. These models can indeed be used in assessing detectability of infection, and they indicate that observations may lead to considerable misinterpretation of 'true' prevalences and incidences.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

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