ArticleBMC infectious diseases2020
Spatial patterns and associated factors of HIV Seropositivity among adults in Ethiopia from EDHS 2016: a spatial and multilevel analysis.
Article in BMC infectious diseases, 2020. 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, 24 citations in OpenAlex.
- Comparing the effect of a multisectoral agricultural intervention on HIV-related health outcomes between widowed and married women.Social science & medicine (1982) · 2023Trial
- Young widowhood as a predictor of HIV risk behaviors in a high HIV prevalence setting in Siaya County, Kenya.Global health action · 2026Article
- Article
- Factors Associated With Loss to Follow-Up Among People Living With HIV in a National Tertiary Care Hospital: Protocol and Baseline Analysis of a Prospective Cohort Study.JMIR research protocols · 2026Article
- Widowed and at risk: increasing HIV prevalence among widowed women in Siaya county, Kenya in the last decade, 2011-2022.BMC public health · 2025Article
- Widowhood stigma as a fundamental cause of poor mental, sexual, and reproductive health outcomes in sub-Saharan Africa: a conceptual framework.SSM. Mental health · 2025Article
- Spatial analysis and associated risk factors of HIV prevalence in Botswana: insights from the 2021 Botswana AIDS Impact Survey (BAIS V).BMC infectious diseases · 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
- Moving beyond hotspots of HIV prevalence to geospatial hotspots of UNAIDS 95-95-95 targets in sub-Saharan Africa.The lancet. HIV · 2024Review
- Trend and principal components of HIV/AIDS among adults in SSA.Scientific reports · 2024Article
- 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
- Spatial patterns and associated factors of HIV testing and counselling (HTC) as a component of antenatal care services in Ethiopia.PloS one · 2024Article
- Geographic variation in HCV treatment penetration among people who inject drugs in Baltimore, MD.Journal of viral hepatitis · 2023Article
- Bayesian Spatial Modelling of HIV Prevalence in Jimma Zone, Ethiopia.Diseases (Basel, Switzerland) · 2023Article
- Spatial distribution and machine learning prediction of sexually transmitted infections and associated factors among sexually active men and women in Ethiopia, evidence from EDHS 2016.BMC infectious diseases · 2023Article
- Prevalence of and risk factors for Human Immunodeficiency Virus (HIV) infection in entrants and residents of an Ethiopian prison.PloS one · 2023Article
- Spatial Clustering of Tuberculosis-HIV Coinfection in Ethiopia at Districts Level.AIDS research and treatment · 2023Article
- Spatial Co-Clustering of Tuberculosis and HIV in Ethiopia.Diseases (Basel, Switzerland) · 2022Article
- Multilevel model in the identification of behavioral and structural risk factors for HIV: integrative review.Revista brasileira de enfermagem · 2022Review
- Spatial pattern and associated factors of HIV testing and counselling among youths (15-24 years) in Ethiopia.BMC public health · 2021Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHIV is a major public health issue, especially in developing countries. It is important to track and design successful intervention programs to explore the spatial pattern, distribution, and associated factors of HIV Seropositivity. This study therefore showed the spatial variation of HIV Seropositivity and related factors in Ethiopia.
methodsA total sample of 25,774 individual data collected from the 2016 EDHS data were primarily HIV biomarkers, IR, MR, and GPS. Spatial heterogeneity analysis was used with methods such as Morans I, Interpolation, and Kulldorff 's scan statistic. Spatial analysis was conducted using open source tools (QGIS, GeoDa, SaTScan). Multilevel logistic regression analysis was performed using Stata14 to identify HIV-associated factors. Finally, the AOR with a 95% confidence interval was used to report the mixed-effect logistic regression result in the full model.
resultThe prevalence of HIV / AIDS at national level was 0.93%. The highest prevalence regions were Gambela, Addis Abeba, Harari and Diredawa, accounting for 4.79, 3.36, 2.65 and 2.6%, respectively. Higher HIV seropositive spatial clusters have been established in the Gambela and Addis Ababa regions. Multilevel analysis at the individual level being married [AOR = 2.19 95% CI: (1.11-4.31)] and previously married [AOR = 6.45, 95% CI: (3.06-13.59)], female [AOR = 1.8, 95% CI: (1.19-2.72)], first-sex at age ≤15 [AOR = 4.39, 95% CI: (1.70-11.34)], 18-19 [AOR = 2.67 95% CI: (1.05-6.8)], middle age group (25-34) [AOR = 6.53, 95% CI: (3.67-11.75)], older age group (>34) [AOR = 2.67 95% CI: (1.05-6.8)], primary school [AOR = 3.03, 95% CI: (1.92-4.79)], secondary school [AOR = 3.37, 95% CI: (1.92-5.92) were significantly associated with serropositivity. Regarding household level, place of residence [urban: AOR = 6.13 CI: (3.12, 12.06)], female-headed households (AOR = 2.24 95% CI: (1.57-3.73), media exposure [low exposure (AOR = 0.53 95% CI: (0.33-0.86), no exposure AOR = 0.39 95% CI: (0.23-0.65)] and increased household size [AOR = 0.72 95% CI: (0.65-0.8)] were associated with HIV Seropositivity.
conclusionHigh cluster HIV cases were found in Gambela, Addis Abeba, Harari, and Diredawa. Having a history of married, start sex at a younger age, female-headed household, urban residence, and lower household size is more affected by HIV/AIDS. So any concerned body work around this risk group and area can be effective in the reduction of transmission.
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