Résumé
Background: International 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. Methods: We 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. Findings: Between 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. Interpretation: Cross-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. Funding: The 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.
Langue d'origine | English |
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Pages (de-à) | e173-e183 |
Journal | The Lancet HIV |
Volume | 7 |
Numéro de publication | 3 |
DOI | |
Statut de publication | Published - mars 2020 |
Financement
This study was presented in part at the International AIDS Society Meeting in Amsterdam, Netherlands, July 26, 2018. This study was supported by the Bill & Melinda Gates Foundation ( OPP1175094 , OPP1084362 ), the National Institute of Allergy and Infectious Diseases ( R01AI110324 , U01AI100031 , U01AI075115 , R01AI110324 , R01AI102939 , K01AI125086-01 ), National Institute of Mental Health ( R01MH107275 ), the National Institute of Child Health and Development ( RO1HD070769 , R01HD050180 ), 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 ( P30AI094189 ), and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention ( NU2GGH000817 ). We also appreciate data management support provided in part by the Office of Cyberinfrastructure and Computational Biology at the National Institute for Allergy and Infectious Diseases. Computations were done at the Imperial College Research Computing Service . The findings and conclusions in this report are those of the authors and do not represent the official position of the funding agencies. We thank the PAGEA-HIV steering committee for their helpful comments on this manuscript, and the RCCS cohort participants and the many staff and investigators who made this study possible. OR, LA-D, PK, and CF reports grants from the Bill & Melinda Gates Foundation during the conduct of the study. JL, LWC, and RHG report grants from the National Institutes of Health during the conduct of the study. MJW reports grants from the Gates Foundation and grants from the National Institutes of Health during the conduct of the study and other from Rakai Health Sciences Program with consultancies related to board membership of the Rakai Health Sciences Program, outside the submitted work. All other authors declare no competing interests. This study was presented in part at the International AIDS Society Meeting in Amsterdam, Netherlands, July 26, 2018. This study was supported by the Bill & Melinda Gates Foundation (OPP1175094, OPP1084362), the National Institute of Allergy and Infectious Diseases (R01AI110324, U01AI100031, U01AI075115, R01AI110324, R01AI102939, K01AI125086-01), National Institute of Mental Health (R01MH107275), the National Institute of Child Health and Development (RO1HD070769, R01HD050180), 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 (P30AI094189), and the President's Emergency Plan for AIDS Relief through the Centers for Disease Control and Prevention (NU2GGH000817). We also appreciate data management support provided in part by the Office of Cyberinfrastructure and Computational Biology at the National Institute for Allergy and Infectious Diseases. Computations were done at the Imperial College Research Computing Service. The findings and conclusions in this report are those of the authors and do not represent the official position of the funding agencies. We thank the PAGEA-HIV steering committee for their helpful comments on this manuscript, and the RCCS cohort participants and the many staff and investigators who made this study possible. Editorial note: The Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations.
Bailleurs de fonds | Numéro du bailleur de fonds |
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Imperial College Research Computing Service | |
Office of Cyberinfrastructure | |
Rakai Health Sciences Program | |
National Institutes of Health | |
National Institute of Mental Health | R01MH107275 |
Centers for Disease Control and Prevention | NU2GGH000817 |
National Institute of Allergy and Infectious Diseases | U01AI100031, K01AI125086, P30AI094189, R01AI110324, R01AI102939, U01AI075115 |
National Institute of Child Health and Human Development | RO1HD070769, R01HD050180 |
Doris Duke Charitable Foundation | |
Bill and Melinda Gates Foundation | OPP1084362, OPP1175094 |
World Bank Group | |
U.S. President’s Emergency Plan for AIDS Relief |
ASJC Scopus Subject Areas
- Epidemiology
- Immunology
- Infectious Diseases
- Virology