Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). Minimum dataset, seroconverters.
Grant-McAuley, W
; Klock, E; Laeyendecker, O; Piwowar-Manning, E; Wilson, E; Clarke, W; Breaud, A; Moore, A; Ayles, H; Kosloff, B; Shanaube, K; Bock, P; Mandla, N; van Deventer, A; Fidler, S; Donnell, D; Hayes, R and Eshleman, SH
(2021).
Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). Minimum dataset, seroconverters.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0258644.s004
; Klock, E; Laeyendecker, O; Piwowar-Manning, E; Wilson, E; Clarke, W; Breaud, A; Moore, A; Ayles, H; Kosloff, B; Shanaube, K; Bock, P; Mandla, N; van Deventer, A; Fidler, S; Donnell, D; Hayes, R and Eshleman, SH
(2021).
Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). Minimum dataset, seroconverters.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0258644.s004
Supporting data for a PLOS ONE paper titled "Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART)". It is comprised of two anonymised datasets that contain measurements for the seroconverters group (S1 Dataset) and non-seroconverters group (S2 Dataset) enrolled in the HIV prevention trial. Files are hosted on Figshare. Consult PLOS ONE paper for information.
Keywords
Viral load; HIV; Antiretroviral therapy; HIV epidemiology; Serology; HIV Infections; Algorithms; Virus testing| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 17 December 2021 |
| Language(s) of written materials | English |
| Creator(s) |
Grant-McAuley, W; Klock, E; Laeyendecker, O; Piwowar-Manning, E; Wilson, E; Clarke, W; Breaud, A; Moore, A; Ayles, H; Kosloff, B; Shanaube, K; Bock, P; Mandla, N; van Deventer, A; Fidler, S; Donnell, D; Hayes, R and Eshleman, SH
|
| LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 21 Jan 2022 10:45 |
| Last Modified | 16 Oct 2025 10:50 |
| Publisher | PLOS ONE |
No files available. Please consult associated links.
