ArticleScientific reports2017
Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- HIV prevalence among men who have sex with men, transgender women and cisgender male sex workers in sub-Saharan Africa: a systematic review and meta-analysis.Journal of the International AIDS Society · 2022Pooled it
- A systematic review of the effects of intimate partner violence on HIV-positive pregnant women in sub-Saharan Africa.BMC public health · 2022Pooled it
- Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review.BMJ open · 2021Pooled it
- Geospatial Approaches to HIV Care: a Scoping Review of Asset Mapping.Current HIV/AIDS reports · 2026Article
- Syphilis clustering among young pregnant women (18-35 years) in Kampala and Wakiso districts, Uganda.Frontiers in reproductive health · 2026Article
- Trends and spatial patterns of human immunodeficiency virus prevalence among men and women aged 15-49 in Sierra Leone: evidence from the 2008, 2013 and 2019 Demographic and Health Surveys.BMJ global health · 2025Article
- Uncovering the impact of randomness in HIV hotspot formation: A mathematical modeling study.PLoS computational biology · 2025Article
- Assessing regional variations and sociodemographic barriers in the progress toward UNAIDS 95-95-95 targets in Zimbabwe.Communications medicine · 2025Article
- Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach.BMC public health · 2025Article
- Geospatial and phylogenetic clustering of acute and recent HIV infections in Lilongwe, Malawi.PLOS global public health · 2025Article
- Moving beyond hotspots of HIV prevalence to geospatial hotspots of UNAIDS 95-95-95 targets in sub-Saharan Africa.The lancet. HIV · 2024Review
- HIV transmission dynamics and population-wide drug resistance in rural South Africa.Nature communications · 2024Article
- Mapping the spatial disparities of HIV prevalence in Ethiopian zones using the generalized additive model.Scientific reports · 2024Article
- Patterns of Rising HIV Positivity in Northern Madagascar: Evidence of an Urgent Public Health Concern.Tropical medicine and infectious disease · 2024Article
- Spatial distribution and determinants of HIV high burden in the Southern African sub-region.PloS one · 2024Article
- HIV transmission dynamics and population-wide drug resistance in rural South Africa.Research square · 2023Article
- Spatial distribution of sexual network locations used by long-distance truck drivers along the Northern Corridor highway, Kenya.International health · 2023Article
- Article
- Progress Towards UNAIDS's 95-95-95 Targets in Zimbabwe: Sociodemographic Constraints and Geospatial Heterogeneity.medRxiv : the preprint server for health sciences · 2023Article
- Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa.BMC infectious diseases · 2023Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Under the premise that in a resource-constrained environment such as Sub-Saharan Africa it is not possible to do everything, to everyone, everywhere, detailed geographical knowledge about the HIV epidemic becomes essential to tailor programmatic responses to specific local needs. However, the design and evaluation of national HIV programs often rely on aggregated national level data. Against this background, here we proposed a model to produce high-resolution maps of intranational estimates of HIV prevalence in Kenya, Malawi, Mozambique and Tanzania based on spatial variables. The HIV prevalence maps generated highlight the stark spatial disparities in the epidemic within a country, and localize areas where both the burden and drivers of the HIV epidemic are concentrated. Under an era focused on optimal allocation of evidence-based interventions for populations at greatest risk in areas of greatest HIV burden, as proposed by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United States President's Emergency Plan for AIDS Relief (PEPFAR), such maps provide essential information that strategically targets geographic areas and populations where resources can achieve the greatest impact.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.