ArticleBMC infectious diseases2019
Spatial analysis of HIV-TB co-clustering in Uganda.
Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 46 citations in OpenAlex.
- AI-Driven Tuberculosis Hotspot Mapping to Optimize Active Case-Finding: Implementing the Epi-Control Platform in Uganda.Tropical medicine and infectious disease · 2026Article
- Spatio-temporal trends, distribution and prediction of tuberculosis incidence in Uganda (2020-2025).BMC infectious diseases · 2025Article
- Mapping of regions with low tuberculosis notification and estimation of diagnostic gaps in Cameroon, evidence from OpenStreetMap and WorldPop data.Scientific reports · 2025Article
- Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach.BMC public health · 2025Article
- Spatial Analysis of Drug-Susceptible and Multidrug-Resistant Cases of Tuberculosis, Ho Chi Minh City, Vietnam, 2020-2023.Emerging infectious diseases · 2024Article
- Clusters of heterogeneity of tuberculosis-HIV coinfection in Brazil: a geospatial study.Revista de saude publica · 2024Article
- Government drivers of gastric cancer prevention: The identification of risk areas and macro factors in Gansu, China.Preventive medicine reports · 2023Article
- Investigating Metabolic and Molecular Ecological Evolution of Opportunistic Pulmonary Fungal Coinfections: Protocol for a Laboratory-Based Cross-Sectional Study.JMIR research protocols · 2023Article
- Incidence of HIV disclosure among HIV affected heterosexual partners using a community health worker led mechanism in rural Uganda; a quasi-experimental study.BMC infectious diseases · 2023Article
- A spatial analysis of TB cases and abnormal X-rays detected through active case-finding in Karachi, Pakistan.Scientific reports · 2023Article
- Spatial Clustering of Tuberculosis-HIV Coinfection in Ethiopia at Districts Level.AIDS research and treatment · 2023Article
- Article
- Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China.Infection and drug resistance · 2023Article
- Spatial Co-Clustering of Tuberculosis and HIV in Ethiopia.Diseases (Basel, Switzerland) · 2022Article
- Community Health Workers Improve HIV Disclosure Among HIV-Affected Sexual Partners in Rural Uganda: A Quasi-Experimental Study.Global health, science and practice · 2022Article
- Trends of notification rates and treatment outcomes of tuberculosis cases with and without HIV co-infection in eight rural districts of Uganda (2015 - 2019).BMC public health · 2022Article
- Article
- TB-HIV co-infection: spatial and temporal distribution in the largest Brazilian metropolis.Revista de saude publica · 2020Article
- Article
- Characteristics and treatment outcomes of adolescents and young adults living with HIV with drug-resistant tuberculosis co-infection in Uganda: a retrospective cohort study.Therapeutic advances in infectious diseaseArticle
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundTuberculosis (TB) is the leading cause of death for individuals infected with Human immunodeficiency virus (HIV). Conversely, HIV is the most important risk factor in the progression of TB from the latent to the active status. In order to manage this double epidemic situation, an integrated approach that includes HIV management in TB patients was proposed by the World Health Organization and was implemented in Uganda (one of the countries endemic with both diseases). To enable targeted intervention using the integrated approach, areas with high disease prevalence rates for TB and HIV need to be identified first. However, there is no such study in Uganda, addressing the joint spatial patterns of these two diseases.
methodsThis study uses global Moran's index, spatial scan statistics and bivariate global and local Moran's indices to investigate the geographical clustering patterns of both diseases, as individuals and as combined. The data used are TB and HIV case data for 2015, 2016 and 2017 obtained from the District Health Information Software 2 system, housed and maintained by the Ministry of Health, Uganda.
resultsResults from this analysis show that while TB and HIV diseases are highly correlated (55-76%), they exhibit relatively different spatial clustering patterns across Uganda. The joint TB/HIV prevalence shows consistent hotspot clusters around districts surrounding Lake Victoria as well as northern Uganda. These two clusters could be linked to the presence of high HIV prevalence among the fishing communities of Lake Victoria and the presence of refugees and internally displaced people camps, respectively. The consistent cold spot observed in eastern Uganda and around Kasese could be explained by low HIV prevalence in communities with circumcision tradition.
conclusionsThis study makes a significant contribution to TB/HIV public health bodies around Uganda by identifying areas with high joint disease burden, in the light of TB/HIV co-infection. It, thus, provides a valuable starting point for an informed and targeted intervention, as a positive step towards a TB and HIV-AIDS free community.
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