ArticleThe lancet. HIV2020
Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda.
Article in The lancet. HIV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 59 papers, 1 of them a synthesis that pooled it.
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Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.
- Pooled it
- Demographics of sources of HIV-1 transmission in Zambia: a molecular epidemiology analysis in the HPTN 071 PopART study.The Lancet. Microbe · 2024Trial
- Detection of HIV-1 Transmission Clusters from Dried Blood Spots within a Universal Test-and-Treat Trial in East Africa.Viruses · 2022Trial
- Trial
- Delineating the "who-where-how" of persistent HIV epidemics: a 23-year longitudinal genetic network, phylodynamic, and spatial analysis for precise intervention in rural China.Emerging microbes & infections · 2026Article
- Geospatial mobility, non-local partners, concurrent sexual partnerships, and gender influence longitudinal STI prevalence in rural eastern Africa.International journal of STD & AIDS · 2026Article
- The age and sex dynamics of heterosexual HIV transmission in Zambia: an HPTN 071 (PopART) phylogenetic and modelling study.medRxiv : the preprint server for health sciences · 2026Article
- BeyondFrontiers in genetics · 2026Review
- Unraveling HIV-1 spread in Southwest China: a phylogenetic and molecular network approach.Frontiers in microbiology · 2026Article
- Phylogenetics and molecular evolution to understand and curb the HIV pandemic.Nature reviews. Microbiology · 2026Review
- Prevalence, dynamic change and spatial distribution of HIV-1 CRF119_0107 from 2019 to 2024 in Nanjing, China: a genomic and spatial epidemiological analysis.Virology journal · 2025Article
- Robust phylodynamic inference and model specification for HIV transmission dynamics.Epidemics · 2025Article
- Metrics of Mobility by Sex are Associated with HIV Incidence in Rural Kenya and Uganda.AIDS and behavior · 2025Article
- Power and sample size calculations for testing the ratio of reproductive values in phylogenetic samples.American journal of epidemiology · 2025Article
- Socio-demographic and geographic disparities in HIV prevalence, HIV testing and treatment coverage: An analysis of 108 national household surveys in 33 African countries.Journal of the International AIDS Society · 2025Article
- Quantifying prevalence and risk factors of HIV multiple infection in Uganda from population-based deep-sequence data.PLoS pathogens · 2025Article
- Article
- Bayesian mixture models for phylogenetic source attribution from consensus sequences and time since infection estimates.Statistical methods in medical research · 2025Article
- Evidence from HIV sequencing for blood-borne transmission in Africa.Journal of public health in Africa · 2025Review
- The PHA4GE Microbial Data-Sharing Accord: establishing baseline consensus microbial data-sharing norms to facilitate cross-sectoral collaboration.BMJ global health · 2024Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
31 authors at 16 institutions in 5 countries.
Funding
Abstract
backgroundInternational and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda.
methodsWe did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15-49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population.
findingsBetween Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25 882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4-7·3) of transmissions occurred within lakeside areas, 89·2% (86·0-91·8) within inland areas, 1·3% (0·6-2·6) from lakeside to inland areas, and 3·7% (2·3-5·8) from inland to lakeside areas.
interpretationCross-community HIV transmissions between Lake Victoria hotspots and surrounding inland populations are infrequent and when they occur, virus more commonly flows into rather than out of hotspots. This result suggests that targeted interventions to these hotspots will not alone control the epidemic in inland populations, where most transmissions occur. Thus, geographical targeting of high prevalence areas might not be effective for broader epidemic control depending on underlying epidemic dynamics.
fundingThe Bill & Melinda Gates Foundation, the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health, the National Institute of Child Health and Development, the Division of Intramural Research of the National Institute for Allergy and Infectious Diseases, the World Bank, the Doris Duke Charitable Foundation, the Johns Hopkins University Center for AIDS Research, and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention.
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