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dc.contributor.authorChadwick, Fergus J
dc.contributor.authorClark, Jessica
dc.contributor.authorChowdhury, Shayan
dc.contributor.authorChowdhury, Tasnuva
dc.contributor.authorPascall, David
dc.contributor.authorHaddou, Yacob
dc.contributor.authorAndrecka, Joanna
dc.contributor.authorKundegorski, Mikolaj
dc.contributor.authorWilkie, Craig
dc.contributor.authorBrum, Eric
dc.contributor.authorShirin, Tahmina
dc.contributor.authorAlamgir, ASM
dc.contributor.authorRahman, Mahbubur
dc.contributor.authorAlam, Ahmed Nawsher
dc.contributor.authorKhan, Farzana
dc.contributor.authorSwallow, Ben
dc.contributor.authorMair, Frances S
dc.contributor.authorIllian, Janine
dc.contributor.authorTrotter, Caroline
dc.contributor.authorHill, Davina L
dc.contributor.authorHusmeier, Dirk
dc.contributor.authorMatthiopoulos, Jason
dc.contributor.authorHampson, Katie
dc.contributor.authorSania, Ayesha
dc.date.accessioned2022-05-26T15:01:00Z
dc.date.available2022-05-26T15:01:00Z
dc.date.issued2022-05-26
dc.date.submitted2021-12-17
dc.identifier.issn2041-1723
dc.identifier.others41467-022-30640-w
dc.identifier.other30640
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337511
dc.descriptionFunder: Juniper Consortium MR/V038613/1
dc.descriptionFunder: Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)
dc.description.abstractDiagnostics for COVID-19 detection are limited in many settings. Syndromic surveillance is often the only means to identify cases but lacks specificity. Rapid antigen testing is inexpensive and easy-to-deploy but can lack sensitivity. We examine how combining these approaches can improve surveillance for guiding interventions in low-income communities in Dhaka, Bangladesh. Rapid-antigen-testing with PCR validation was performed on 1172 symptomatically-identified individuals in their homes. Statistical models were fitted to predict PCR-status using rapid-antigen-test results, syndromic data, and their combination. Under contrasting epidemiological scenarios, the models' predictive and classification performance was evaluated. Models combining rapid-antigen-testing and syndromic data yielded equal-to-better performance to rapid-antigen-test-only models across all scenarios with their best performance in the epidemic growth scenario. These results show that drawing on complementary strengths across rapid diagnostics, improves COVID-19 detection, and reduces false-positive and -negative diagnoses to match local requirements; improvements achievable without additional expense, or changes for patients or practitioners.
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.subjectArticle
dc.subject/692/699/255/2514
dc.subject/692/700/478/174
dc.subject/692/700/139
dc.subject/692/1807
dc.subject/631/326/596/4130
dc.subjectarticle
dc.titleCombining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country.
dc.typeArticle
dc.date.updated2022-05-26T15:00:59Z
prism.issueIdentifier1
prism.publicationNameNat Commun
prism.volume13
dc.identifier.doi10.17863/CAM.84926
dcterms.dateAccepted2022-05-10
rioxxterms.versionofrecord10.1038/s41467-022-30640-w
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidChadwick, Fergus J [0000-0001-8650-1938]
dc.contributor.orcidClark, Jessica [0000-0003-1692-899X]
dc.contributor.orcidChowdhury, Shayan [0000-0001-5153-9055]
dc.contributor.orcidChowdhury, Tasnuva [0000-0003-0660-9784]
dc.contributor.orcidPascall, David [0000-0002-7543-0860]
dc.contributor.orcidKundegorski, Mikolaj [0000-0002-0982-9371]
dc.contributor.orcidWilkie, Craig [0000-0003-0805-0195]
dc.contributor.orcidBrum, Eric [0000-0002-0244-7178]
dc.contributor.orcidRahman, Mahbubur [0000-0001-8577-8281]
dc.contributor.orcidAlam, Ahmed Nawsher [0000-0002-7962-0725]
dc.contributor.orcidSwallow, Ben [0000-0002-0227-2160]
dc.contributor.orcidIllian, Janine [0000-0002-6130-2796]
dc.contributor.orcidTrotter, Caroline [0000-0003-4000-2708]
dc.contributor.orcidHill, Davina L [0000-0001-9085-6192]
dc.contributor.orcidHusmeier, Dirk [0000-0003-1673-7413]
dc.contributor.orcidMatthiopoulos, Jason [0000-0003-3639-8172]
dc.contributor.orcidHampson, Katie [0000-0001-5392-6884]
dc.identifier.eissn2041-1723
pubs.funder-project-idBill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) (INV-022851, INV-022851)
pubs.funder-project-idRCUK | Engineering and Physical Sciences Research Council (EPSRC) (EP/R513222/1)
pubs.funder-project-idWellcome Trust (Wellcome) (207569/Z/17/Z)
cam.issuedOnline2022-05-26


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