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dc.contributor.authorTruscott, James
dc.contributor.authorDunn, Julia
dc.contributor.authorPAPAIAKOVOU, MARINA
dc.contributor.authorSchaer, Fabian
dc.contributor.authorWerkman, Marleen
dc.contributor.authorLittlewood, T
dc.contributor.authorWalson, JL
dc.contributor.authorAnderson, Roy
dc.identifier.citationTruscott JE, Dunn JC, Papaiakovou M, Schaer F, Werkman M, Littlewood DTJ, et al. (2019) Calculating the prevalence of soiltransmitted helminth infection through pooling of stool samples: Choosing and optimizing the pooling strategy. PLoS Negl Trop Dis 13(3): e0007196en_US
dc.description.abstractPrevalence is a common epidemiological measure for assessing soil-transmitted helminth burden and forms the basis for much public-health decision-making. Standard diagnostic techniques are based on egg detection in stool samples through microscopy and these techniques are known to have poor sensitivity for individuals with low infection intensity, leading to poor sensitivity in low prevalence populations. PCR diagnostic techniques offer very high sensitivities even at low prevalence, but at a greater cost for each diagnostic test in terms of equipment needed and technician time and training. Pooling of samples can allow prevalence to be estimated while minimizing the number of tests performed. We develop a model of the relative cost of pooling to estimate prevalence, compared to the direct approach of testing all samples individually. Analysis shows how expected elative cost depends on both the underlying prevalence in the population and the size of the pools constructed. A critical prevalence level (approx. 31%) above which pooling is never cost effective, independent of pool size. When no prevalence information is available, there is no basis on which to choose between pooling and testing all samples individually. We recast our model of relative cost in a Bayesian framework in order to investigate how prior information about prevalence in a given population can be used to inform the decision to choose either pooling or full testing. Results suggest that if prevalence is below 10%, a relatively small exploratory prevalence survey (10–15 samples) can be sufficient to give a high degree of certainty that pooling may be relatively cost effective.en_US
dc.publisherPublic Library of Science (PLoS)en_US
dc.titleCalculating the prevalence of soil-transmitted helminth infection through pooling of stool samples: Choosing and optimizing the pooling strategyen_US
dc.typeJournal Articleen_US
dc.identifier.journalPLOS Neglected Tropical Diseasesen_US
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dc.embargoNot knownen_US
elements.import.authorTruscott, JEen_US
elements.import.authorDunn, JCen_US
elements.import.authorPapaiakovou, Men_US
elements.import.authorSchaer, Fen_US
elements.import.authorWerkman, Men_US
elements.import.authorLittlewood, DTJen_US
elements.import.authorWalson, JLen_US
elements.import.authorAnderson, RMen_US
dc.description.nhm© 2019 Truscott et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.subject.nhmDNA extractionen_US
dc.subject.nhmCost-effectiveness analysisen_US
dc.subject.nhmSoil-transmitted helminthiasesen_US
dc.subject.nhmPolymerase chain reactionen_US

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