Published in

BioMed Central, Emerging Themes in Epidemiology, 1(9), 2012

DOI: 10.1186/1742-7622-9-9

Links

Tools

Export citation

Search in Google Scholar

A tutorial in estimating the prevalence of disease in humans and animals in the absence of a gold standard diagnostic

Journal article published in 2012 by Fraser I. Lewis, Paul R. Torgerson
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Epidemiological methods for estimating disease prevalence in humans and other animals in the absence of agold standard diagnostic test are well established. Despite this, reporting apparent prevalence is still standardpractice in public health studies and disease control programmes, even though apparent prevalence may differgreatly from the true prevalence of disease. Methods for estimating true prevalence are summarized andreviewed. A computing appendix is also provided which contains a brief guide in how to easily implementsome of the methods presented using freely available software.