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dc.contributor.authorGrebe, E
dc.contributor.authorWelte, A
dc.contributor.authorJohnson, LF
dc.contributor.authorvan Cutsem, G
dc.contributor.authorPuren, A
dc.contributor.authorEllman, T
dc.contributor.authorEtard, JF
dc.contributor.authorHuerga, H
dc.date.accessioned2018-10-16T16:50:33Z
dc.date.available2018-10-16T16:50:33Z
dc.date.issued2018-09-13
dc.date.submitted2018-10-04
dc.identifier.citationPopulation-level HIV incidence estimates using a combination of synthetic cohort and recency biomarker approaches in KwaZulu-Natal, South Africa. 2018, 13 (9):e0203638 PLoS ONEen
dc.identifier.issn1932-6203
dc.identifier.pmid30212513
dc.identifier.doi10.1371/journal.pone.0203638
dc.identifier.urihttp://hdl.handle.net/10144/619284
dc.description.abstractThere is a notable absence of consensus on how to generate estimates of population-level incidence. Incidence is a considerably more sensitive indicator of epidemiological trends than prevalence, but is harder to estimate. We used a novel hybrid method to estimate HIV incidence by age and sex in a rural district of KwaZulu-Natal, South Africa.
dc.language.isoenen
dc.publisherPublic Library of Scienceen
dc.rightsPublished by Public Library of Science, [url]http://www.plosone.org/[/url] Archived on this site by Open Access permissionen
dc.titlePopulation-level HIV incidence estimates using a combination of synthetic cohort and recency biomarker approaches in KwaZulu-Natal, South Africaen
dc.identifier.journalPLoS Oneen
refterms.dateFOA2019-03-04T14:10:53Z
html.description.abstractThere is a notable absence of consensus on how to generate estimates of population-level incidence. Incidence is a considerably more sensitive indicator of epidemiological trends than prevalence, but is harder to estimate. We used a novel hybrid method to estimate HIV incidence by age and sex in a rural district of KwaZulu-Natal, South Africa.


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