Repository logo
 

Identification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.

dc.contributor.authorLaeyendecker, Oliver.
dc.contributor.authorKonikoff, Jacob.
dc.contributor.authorMorrison, Douglas E.
dc.contributor.authorBrookmeyer, Ronald.
dc.contributor.authorWang, Jing.
dc.contributor.authorCelum, Connie Locke.
dc.contributor.authorMorrison, Charles S.
dc.contributor.authorAbdool Karim, Quarraisha.
dc.contributor.authorPettifor, Audrey E.
dc.contributor.authorEshleman, Susan H.
dc.date.accessioned2019-12-15T19:16:09Z
dc.date.available2019-12-15T19:16:09Z
dc.date.created2018
dc.date.issued2018
dc.descriptionCAPRISA, 2018.en_US
dc.description.abstractAbstract available in pdf.en_US
dc.identifier.citationLaeyendecker, O., Konikoff, J., Morrison, D.E., Brookmeyer, R., Wang, J., Celum, C., Morrison, C.S., Abdool Karim, Q., Pettifor, A.E. and Eshleman, S.H. 2018. Identification and validation of a multi‐assay algorithm for cross‐sectional HIV incidence estimation in populations with subtype C infection. Journal of the International AIDS Society 21(2), e25082.en_US
dc.identifier.urihttp://dx.doi.org/10.1002/jia2.25082en_US
dc.identifier.urihttps://researchspace.ukzn.ac.za/handle/10413/16668
dc.language.isoenen_US
dc.publisherInternational AIDS Society.en_US
dc.subjectCross-sectional incidence testing.en_US
dc.subjectSouthern Africa.en_US
dc.subjectSubtype C.en_US
dc.subjectWomen.en_US
dc.subjectEpidemiology.en_US
dc.titleIdentification and validation of a multi-assay algorithm for cross-sectional HIV incidence estimation in populations with subtype C infection.en_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Laeyendecker Oliver_2018.pdf
Size:
285.27 KB
Format:
Adobe Portable Document Format
Description:
Main article.

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.64 KB
Format:
Item-specific license agreed upon to submission
Description: