Estimating HIV-1 Viremic Time From Reservoir Sequence Diversity With Uncertainty Quantification
We present a new Bayesian approach to estimate HIV viremic time from reservoir sequences with associated uncertainty estimates. Our prediction approach works across subtypes and chronic infection, uses simple diversity metrics, and may support research on HIV reservoir dynamics and cure.
Authors
- Eileen P. Scully (ORCID: https://orcid.org/0000-0002-6687-6051)
- Jessica L. Prodger (ORCID: https://orcid.org/0000-0003-0805-4196)
- T. C. Quinn
- Owen R. Baker (ORCID: https://orcid.org/0009-0006-0728-6509)
- Taddeo Kityamuweesi
- Sharada Saraf
- Edward Nelson Kankaka (ORCID: https://orcid.org/0000-0001-6977-3405)
- Ronald Moses Galiwango (ORCID: https://orcid.org/0000-0003-3702-5722)
- Stephen Tomusange
- Briana Lynch
- Adam A. Capoferri (ORCID: https://orcid.org/0000-0002-6048-2115)
- Charles Kirby (ORCID: https://orcid.org/0000-0001-7756-2114)
- Jada Hackman (ORCID: https://orcid.org/0000-0001-8412-8674)
- Andrew D. Redd (ORCID: https://orcid.org/0000-0003-4651-1423)
- Steven J. Reynolds (ORCID: https://orcid.org/0000-0002-5403-2759)
- Amjad Khan (ORCID: https://orcid.org/0000-0001-7691-4608)
- Nicholas A DiRico
- Gabriel Quiros
- Art F Y Poon
- Erin E Brown
- Jernelle Miller
- Craig Martens
Institutions
- Western University (CA)
- Johns Hopkins University (US)
- University of Cape Town (ZA)
- Johns Hopkins Medicine (US)
- Rakai Health Sciences Program (UG)
- National Institute of Allergy and Infectious Diseases (US)
- Makerere University (UG)
- Rocky Mountain College (US)
Publication Details
- Journal
- The Journal of Infectious Diseases
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1093/infdis/jiag020
- Primary Topic
- HIV Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00