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dc.contributor.authorGuha P.
dc.contributor.authorGuha A.
dc.contributor.authorBandyopadhyay T.
dc.date.accessioned2022-02-11T10:16:24Z
dc.date.available2022-02-11T10:16:24Z
dc.date.issued2021
dc.identifier.citationGuha, P., Guha, A., & Bandyopadhyay, T. (2021). Application of pooled testing in estimating the prevalence of COVID-19. Health Services and Outcomes Research Methodology. https://doi.org/10.1007/s10742-021-00258-4
dc.identifier.issn13873741
dc.identifier.urihttps://www.doi.org/10.1007/s10742-021-00258-4
dc.identifier.urihttp://hdl.handle.net/11718/25380
dc.description.abstractTesting at a mass scale has been widely accepted as an effective way to contain the spread of the SARS-CoV-2 Virus. In the initial stages, the shortage of test kits severely restricted mass-scale testing. Pooled testing was offered as a partial solution to this problem. However, it is a relatively lesser-known fact that pooled testing can also result in significant gains, both in terms of cost savings as well as measurement accuracy, in prevalence estimation surveys. We review here the statistical theory of pooled testing for screening as well as for prevalence estimation. We study the impact of the diagnostic errors, and misspecification of the sensitivity and the specificity on the performances of the pooled as well as individual testing procedures. Our investigation clarifies some of the issues hotly debated in the context of COVID-19 and shows the potential gains for the Indian Council for Medical Research (ICMR) in using a pooled sampling for their upcoming COVID-19 prevalence surveys. � 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
dc.language.isoen_US
dc.publisherSpringer
dc.relation.ispartofHealth Services and Outcomes Research Methodology
dc.subjectCOVID-19
dc.subjectImperfect test
dc.subjectPooled testing
dc.subjectPrevalence estimation
dc.subjectSensitivity
dc.subjectSpecificity
dc.titleApplication of pooled testing in estimating the prevalence of COVID-19
dc.typeArticle
dc.rights.licenseCC BY
dc.contributor.affiliationXLRI, Xavier School of Management, Jamshedpur, India
dc.contributor.affiliationIndian Institute of Management, Ahmedabad, India
dc.contributor.institutionauthorGuha, P., XLRI, Xavier School of Management, Jamshedpur, India
dc.contributor.institutionauthorGuha, A., XLRI, Xavier School of Management, Jamshedpur, India
dc.contributor.institutionauthorBandyopadhyay, T., Indian Institute of Management, Ahmedabad, India
dc.description.scopusid57205305341
dc.description.scopusid56072309700
dc.description.scopusid57214287376
dc.identifier.doi10.1007/s10742-021-00258-4


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