Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40895
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dc.contributor.authorMOGELMOSE, Signe-
dc.contributor.authorNeels, K.-
dc.contributor.authorBeutels, P.-
dc.contributor.authorHENS, Niel-
dc.date.accessioned2023-09-14T09:50:41Z-
dc.date.available2023-09-14T09:50:41Z-
dc.date.issued2023-
dc.date.submitted2023-09-07T13:28:23Z-
dc.identifier.citationINTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 130 , p. S113-
dc.identifier.urihttp://hdl.handle.net/1942/40895-
dc.description.abstracton the cobas SARS-CoV-2 assay (Roche) and the Aptima SARS-CoV-2 assay (Hologic). Findings: We demonstrated comparable sensitivity, specificity, and agreement between self-collected nasal and Rhinoswab samples , compared to HCW-collected samples tested using the cobas SARS-CoV-2 and Aptima SARS-CoV-2 assays. In our study the clinical performance of self-collected specimens was comparable to HCW-collected samples, with both self-collect nasal and Rhi-noswab samples resulting in 90-95% sensitivity, and in most cases > 95% specificity. Discussion: Without the availability of samples for NAAT the ability to perform genomic testing is limited, reducing surveillance and public health investigations. We showed that genomic sequencing from self-collected samples can correctly identify the virus lineage and that the main determination of successful ge-nomic testing is a high viral load rather than collection method. Conclusion: These data support self-collection as an accessible method for community testing for COVID-19 and introduces a novel collection device, the Rhinoswab as an alternative to the standard nasal swab. The testing method of self-collection can be expanded from the widely used RATs to NAAT and genomic testing which may inform the management and public health response to the COVID-19 pandemic.-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.titleHOW WILL DEMOGRAPHIC CHANGE AFFECT THE DISEASE BURDEN OF FUTURE EPIDEMICS?-
dc.typeJournal Contribution-
dc.identifier.spageS113-
dc.identifier.volume130-
local.format.pages1-
local.bibliographicCitation.jcatM-
local.publisher.placeTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedMeeting Abstract-
dc.identifier.doi10.1016/j.ijid.2023.04.280-
dc.identifier.isi001037898500269-
local.provider.typewosris-
local.description.affiliation[Mogelmose, S.; Hens, N.] Hasselt Univ, Data Sci Inst, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium.-
local.description.affiliation[Mogelmose, S.; Neels, K.] Univ Antwerp, Ctr Populat Family & Hlth, Antwerp, Belgium.-
local.description.affiliation[Beutels, P.] Univ New South Wales, Sch Publ Hlth & Community Med, Sydney, NSW, Australia.-
local.description.affiliation[Beutels, P.; Hens, N.] Univ Antwerp, Vaccine Infect Dis Inst, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium.-
local.uhasselt.internationalyes-
item.fullcitationMOGELMOSE, Signe; Neels, K.; Beutels, P. & HENS, Niel (2023) HOW WILL DEMOGRAPHIC CHANGE AFFECT THE DISEASE BURDEN OF FUTURE EPIDEMICS?. In: INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 130 , p. S113.-
item.contributorMOGELMOSE, Signe-
item.contributorNeels, K.-
item.contributorBeutels, P.-
item.contributorHENS, Niel-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1201-9712-
crisitem.journal.eissn1878-3511-
Appears in Collections:Research publications
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