Unpacking sources of transmission in HIV prevention trials with deep-sequence pathogen data

To develop effective HIV prevention strategies to guide public health policy the main sources of infection in HIV prevention studies must be identified. Accordingly, we devised a statistical approach that estimates the relative contribution of different sources of infection in community-randomized trials of infectious disease prevention using deep- (or next generation) sequenced pathogen data. We applied this approach to the Botswana Combination Prevention Project (BCPP) and estimated that 90% [95% Confidence Interval (CI): 80-94] of new infections in communities that received combination prevention (including universal HIV test-and-treat) originated from individuals residing in communities outside the trial area. We estimate from our model that the relative benefit of providing the BCPP intervention to all communities nationwide would be a 59% [3-87] reduction in transmissions to recipients in trial communities, exceeding the 30% reduction observed when providing the BCPP intervention to trial communities only. Our results suggest that the impact of the BCPP trial intervention was curtailed by sources of transmission outside the trial area and could be considerably larger if applied nationally. We recommend that the impact of sources of transmission beyond the reach of the intervention be considered when designing and evaluating interventions to inform public health programs.

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Publication Details

Journal
Nature Communications
Published
2026-03-14
DOI
https://doi.org/10.1038/s41467-026-70203-x
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
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article

Unpacking sources of transmission in HIV prevention trials with deep-sequence pathogen data

Lerato E Magosi, Vlad Novitsky, Refeletswe Lebelonyane, Sikhulile M. Moyo et al.
Nature Communications
HIV/AIDS Research and Interventions
article

Unpacking sources of transmission in HIV prevention trials with deep-sequence pathogen data

Lerato E Magosi, Vlad Novitsky, Refeletswe Lebelonyane, Sikhulile M. Moyo, Ravi Goyal, Janet Moore, Kathleen E. Hurwitz, Molly Pretorius Holme, Victor De Gruttola, Eric Tchetgen Tchetgen, Max Essex, Christophe Fraser, Shahin Lockman, Marc Lipsitch, Joseph Makhema, Tendani Gaolathe, Pam Bachanas
article en

Abstract

To develop effective HIV prevention strategies to guide public health policy the main sources of infection in HIV prevention studies must be identified. Accordingly, we devised a statistical approach that estimates the relative contribution of different sources of infection in community-randomized trials of infectious disease prevention using deep- (or next generation) sequenced pathogen data. We applied this approach to the Botswana Combination Prevention Project (BCPP) and estimated that 90% [95% Confidence Interval (CI): 80-94] of new infections in communities that received combination prevention (including universal HIV test-and-treat) originated from individuals residing in communities outside the trial area. We estimate from our model that the relative benefit of providing the BCPP intervention to all communities nationwide would be a 59% [3-87] reduction in transmissions to recipients in trial communities, exceeding the 30% reduction observed when providing the BCPP intervention to trial communities only. Our results suggest that the impact of the BCPP trial intervention was curtailed by sources of transmission outside the trial area and could be considerably larger if applied nationally. We recommend that the impact of sources of transmission beyond the reach of the intervention be considered when designing and evaluating interventions to inform public health programs.

Nature Communications
Brigham and Women's Hospital (US), Centers for Disease Control and Prevention (US), Center for Disease Dynamics, Economics & Policy (US), Harvard University (US), Wellcome Sanger Institute (GB), University of California San Diego (US), University of Oxford (GB), Human Longevity (United States) (US), Stanford Medicine (US), Ministry of Health (BW), Botswana Harvard AIDS Institute Partnership (BW), University of Pennsylvania (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 24%
HIV/AIDS Research and Interventions
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