ArticleScience translational medicine2017
Using geospatial mapping to design HIV elimination strategies for sub-Saharan Africa.
Article in Science translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review.BMJ open · 2021Pooled it
- Geospatial and multilevel analysis of lifetime HIV testing uptake among high-risk adults in Mozambique: evidence from the 2022-2023 DHS.International journal of health geographics · 2026Article
- Analysis of travel-time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretrovirals.Communications medicine · 2025Article
- Geospatial Genomics: Operationalizing Multilevel Conceptual Frameworks of Cancer Health Outcomes to Account for Gene-Person-Place Relationships.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025Article
- Machine learning approach and geospatial analysis to determine HIV infection, awareness status, and transmission knowledge among adults in Sub-Saharan Africa.BMC research notes · 2024Article
- The Burden of Plastic Surgery in Rural Kenya: The Kapsowar Hospital Experience.Plastic and reconstructive surgery. Global open · 2024Article
- Effectiveness of human immunodeficiency virus prevention strategies by mapping the geographic dispersion pattern of human immunodeficiency virus prevalence in Nanning, China.BMC public health · 2024Article
- Spatial distribution of sexual network locations used by long-distance truck drivers along the Northern Corridor highway, Kenya.International health · 2023Article
- Does adherence to antiretroviral therapy differ by place of residence in Nigeria? A systematic review and meta-analysis protocol.BMJ open · 2023Article
- Small area analysis of HIV viral load suppression patterns in a high priority district (2012-2016), South Africa.PLOS global public health · 2023Article
- Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000-2018.BMC medicine · 2022Article
- Improving the Efficiency of Geographic Target Regions for Healthcare Interventions.International journal of environmental research and public health · 2022Article
- Spatiotemporal Variation and Predictors of Unsuppressed Viral Load among HIV-Positive Men and Women in Rural and Peri-Urban KwaZulu-Natal, South Africa.Tropical medicine and infectious disease · 2022Article
- HIV prevention for the next decade: Appropriate, person-centred, prioritised, effective, combination prevention.PLoS medicine · 2022Article
- Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions.Geospatial health · 2022Article
- Mapping HIV prevalence in Nigeria using small area estimates to develop a targeted HIV intervention strategy.PloS one · 2022Article
- The potential impact of country-level migration networks on HIV epidemics in sub-Saharan Africa: the case of Botswana.The lancet. HIV · 2021Review
- Mobile HIV testing in South Africa: maximizing yield through data-guided site selection.Public health action · 2021Article
- Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub-Saharan Africa.Journal of the International AIDS Society · 2021Article
- Dispensing antiretrovirals during Covid-19 lockdown: re-discovering community-based ART delivery models in Uganda.BMC health services research · 2021Article
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Abstract
Treatment as prevention (TasP) has been proposed by the World Health Organization and the Joint United Nations Programme on HIV/AIDS (UNAIDS) as a global strategy for eliminating HIV. The rationale is that treating individuals reduces their infectivity. We present a geostatistical framework for designing TasP-based HIV elimination strategies in sub-Saharan Africa. We focused on Lesotho, where ~25% of the population is infected. We constructed a density of infection map by gridding high-resolution demographic data and spatially smoothing georeferenced HIV testing data. The map revealed the countrywide geographic dispersion pattern of HIV-infected individuals. We found that ~20% of the HIV-infected population lives in urban areas and that almost all rural communities have at least one HIV-infected individual. We used the map to design an optimal elimination strategy and identified which communities should use TasP. This strategy minimized the area that needed to be covered to find and treat HIV-infected individuals. We show that UNAIDS's elimination strategy would not be feasible in Lesotho because it would require deploying treatment in areas where there are ~4 infected individuals/km
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