ArticleBMC public health2014
Spatial analysis of factors associated with HIV infection among young people in Uganda, 2011.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
- Risk factors for HIV infection among adolescents and the youth: a systematic review.Revista latino-americana de enfermagem · 2022Pooled it
- Exploring spatial uncertainty in HIV risk locations: individual characteristics and geographic reporting accuracy.BMC public health · 2026Article
- Mapping healthcare service utilisation for diabetes and hypertension in Tanzania mainland: bayesian spatial modeling.Frontiers in health services · 2026Article
- Syphilis clustering among young pregnant women (18-35 years) in Kampala and Wakiso districts, Uganda.Frontiers in reproductive health · 2026Article
- Association of self-reported HIV infection with oral pre-exposure prophylaxis use among women of reproductive age in Lesotho: evidence from mixed-effects estimates of nationally representative data.Sexually transmitted infections · 2025Article
- Willingness to Use Long-Acting Injectable Pre-Exposure Prophylaxis among Adolescent Girls and Young Women in Kampala, Uganda.AIDS and behavior · 2025Article
- Predicting the individualized risk of human immunodeficiency virus infection among sexually active women in Ethiopia using a nomogram: prediction model development and validation.Frontiers in public health · 2024Article
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- Spatial distribution and determinants of HIV high burden in the Southern African sub-region.PloS one · 2024Article
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- Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020.Infection and drug resistance · 2023Article
- Spatial Co-Clustering of Tuberculosis and HIV in Ethiopia.Diseases (Basel, Switzerland) · 2022Article
- Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions.Geospatial health · 2022Article
- Temporal and Spatial Analysis Techniques as Potential Tools for Combating the HIV Epidemic among Young Brazilian Amazonian People: An Ecological Study.Tropical medicine and infectious disease · 2022Article
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- The geography and inter-community configuration of new sexual partnership formation in a rural South African population over fourteen years (2003-2016).PLOS global public health · 2022Article
- Neighborhood-Based Socioeconomic Determinants of Cognitive Impairment in Zambian Children With HIV: A Quantitative Geographic Information Systems Approach.Journal of the Pediatric Infectious Diseases Society · 2021Article
- Mapping evidence on predictors of adverse sexual and reproductive health outcomes among young women in South Africa: A scoping review.African journal of primary health care & family medicine · 2021Article
- A Comparison of Bayesian Spatial Models for HIV Mapping in South Africa.International journal of environmental research and public health · 2021Article
- Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe HIV epidemic in East Africa is of public health importance with an increasing number of young people getting infected. This study sought to identify spatial clusters and examine the geographical variation of HIV infection at a regional level while accounting for risk factors associated with HIV/AIDS among young people in Uganda.
methodsA secondary data analysis was conducted on a survey cross-sectional design whose data were obtained from the 2011 Uganda Demographic and Health Survey (DHS) and AIDS Indicator Survey (AIS) for 7 518 young people aged 15-24 years. The analysis was performed in three stages while incorporating population survey sampling weights. Maximum likelihood-based logistic regression models were used to explore the non-spatially adjusted factors associated with HIV infection. Spatial scan statistic was used to identify geographical clusters of elevated HIV infections which justified modelling using a spatial random effects model by Bayesian-based logistic regression models.
resultsIn this study, 309/533 HIV sero-positive female participants were selected with majority residing in the rural areas [386(72%)]. Compared to singles, those currently [Adjusted Odds Ratio (AOR) =3.64; (95% CI; 1.25-10.27)] and previously married [AOR = 5.62; (95% CI: 1.52-20.75)] participants had significantly higher likelihood of HIV infections. Sexually Transmitted Infections [AOR = 2.21; (95% CI: 1.35-3.60)] were more than twice likely associated with HIV infection. One significant (p < 0.05) primary cluster of HIV prevalence around central Uganda emerged from the SaTScan cluster analysis. Spatial analysis disclosed behavioural factors associated with greater odds of HIV infection such as; alcohol use before sexual intercourse [Posterior Odds Ratio (POR) =1.32; 95% (BCI: 1.11-1.63)]. Condom use [POR = 0.54; (95% BCI: 0.41-0.69)] and circumcision [POR = 0.66; (95% BCI: 0.45-0.99)] provided a protective effect against HIV.
conclusionsThe study revealed associations between high-risk sexual behaviour and HIV infection. Behavioural change interventions should therefore be pertinent to the prevention of HIV. Spatial analysis further revealed a significant HIV cluster towards the Central and Eastern areas of Uganda. We propose that interventions targeting young people should initially focus on these regions and subsequently spread out across Uganda.
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