ArticleBMJ public health2024
Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data.
Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Profiling the disease burden in Teso subregion during community-based medical education and research services at Soroti University: a prospective study protocol.Archives of public health = Archives belges de sante publique · 2026Article
- Barriers and opportunities to addressing social determinants of malaria in Wakiso District, Uganda.PLOS global public health · 2026Article
- Reforming Uganda's digital health data systems: A policy analysis for inclusive, equitable, and decolonised data governance.Digital healthReview
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Authors and funding
13 authors.
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Abstract
Introduction: Understanding the determinants of disease burden is imperative in enhancing population health outcomes. This study uses data from the Iganga-Mayuge Health and Demographic Surveillance Site, to understand demographic and socioeconomic factors influencing morbidity. Methods: We analysed secondary data from 2018 to 2023. We employed graphs and tables to present morbidity patterns across different sociodemographic factors and applied mixed-effects multinomial multivariate logistic regression model to understand the correlates of morbidity. Results: The findings reveal a predominant prevalence of malaria, lower respiratory tract infections, coryza, gastric acid-related and urinary tract infections, collectively constituting 83% of diagnosed diseases. Noteworthy demographic variations, particularly gender and age, significantly impact disease distribution, revealing higher diagnosis rates among females. Additionally, socioeconomic factors, including education and wealth status, contribute to discernible differences in disease burden. Conclusion: This research provides crucial insights into the implications of demographic and socioeconomic factors on disease burden in Uganda. The results contribute to evidence-based policy-making, highlighting the necessity for targeted interventions addressing specific health challenges encountered by diverse populations. The study advocates for continuous assessment of the epidemiological landscape to inform more tailored and effective health strategies, ultimately enhancing resilience in disease control efforts.
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