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dc.creatorLaeyendecker, Oliver.
dc.creatorKonikoff, Jacob.
dc.creatorMorrison, Douglas E.
dc.creatorBrookmeyer, Ronald.
dc.creatorWang, Jing.
dc.creatorCelum, Connie.
dc.creatorMorrison, Charles S.
dc.creatorAbdool Karim, Quarraisha.
dc.creatorPettifor, Audrey E.
dc.creatorEshleman, Susan H.
dc.date.accessioned2019-12-15T19:16:09Z
dc.date.available2019-12-15T19:16:09Z
dc.date.created2018
dc.date.issued2018
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.descriptionCAPRISA, 2018.en_US
dc.description.abstractAbstract available in pdf.en_US
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


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