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 |
|---|---|
| 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 | 21 Jan 2022 10:47 |
| Publisher | PLOS ONE |
No files available. Please consult associated links.
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