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


Lewis, Fraser I; Torgerson, P R (2012). A tutorial in estimating the prevalence of disease in humans and animals in the absence of a gold standard diagnostic. Emerging Themes in Epidemiology, 9:9.

Abstract

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

Abstract

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

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:05 Vetsuisse Faculty > Chair in Veterinary Epidemiology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:28 December 2012
Deposited On:04 Feb 2013 12:35
Last Modified:06 Aug 2017 01:41
Publisher:BioMed Central
ISSN:1742-7622
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1186/1742-7622-9-9
PubMed ID:23270542

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Licence: Creative Commons: Attribution 2.0 Generic (CC BY 2.0)