Population-level HIV incidence estimates using a combination of synthetic cohort and recency biomarker approaches in KwaZulu-Natal, South Africa

Hdl Handle:
http://hdl.handle.net/10144/619284
Title:
Population-level HIV incidence estimates using a combination of synthetic cohort and recency biomarker approaches in KwaZulu-Natal, South Africa
Authors:
Grebe, E; Welte, A; Johnson, LF; van Cutsem, G; Puren, A; Ellman, T; Etard, JF; Huerga, H
Journal:
PLoS One
Abstract:
There 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.
Publisher:
Public Library of Science
Issue Date:
13-Sep-2018
URI:
http://hdl.handle.net/10144/619284
DOI:
10.1371/journal.pone.0203638
PubMed ID:
30212513
Submitted date:
2018-10-04
Language:
en
ISSN:
1932-6203
Appears in Collections:
HIV/AIDS

Full metadata record

DC FieldValue Language
dc.contributor.authorGrebe, Een
dc.contributor.authorWelte, Aen
dc.contributor.authorJohnson, LFen
dc.contributor.authorvan Cutsem, Gen
dc.contributor.authorPuren, Aen
dc.contributor.authorEllman, Ten
dc.contributor.authorEtard, JFen
dc.contributor.authorHuerga, Hen
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.en
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

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