Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data
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 sec...
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BMJ Publishing Group
2024-12-01
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| Series: | BMJ Public Health |
| Online Access: | https://bmjpublichealth.bmj.com/content/2/2/e000898.full |
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| author | Dan Kajungu Henry Owoko Odero Agnes Kiragga Steve Bicko Cygu Betty Nabukeera Lindsey English Shakira Babirye Collins Gyezaho Maureen Ng'etich Michael Ochola David Amadi Grace Banturaki Damazo Twebaze Kadengye |
| author_facet | Dan Kajungu Henry Owoko Odero Agnes Kiragga Steve Bicko Cygu Betty Nabukeera Lindsey English Shakira Babirye Collins Gyezaho Maureen Ng'etich Michael Ochola David Amadi Grace Banturaki Damazo Twebaze Kadengye |
| author_sort | Dan Kajungu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2c3a803a14124be1bde6c3a064b8aeb3 |
| institution | Kabale University |
| issn | 2753-4294 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Public Health |
| spelling | doaj-art-2c3a803a14124be1bde6c3a064b8aeb32024-12-14T23:20:07ZengBMJ Publishing GroupBMJ Public Health2753-42942024-12-012210.1136/bmjph-2024-000898Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance dataDan Kajungu0Henry Owoko Odero1Agnes Kiragga2Steve Bicko Cygu3Betty Nabukeera4Lindsey English5Shakira Babirye6Collins Gyezaho7Maureen Ng'etich8Michael Ochola9David Amadi10Grace Banturaki11Damazo Twebaze Kadengye12Department of Global Health, Stellenboach University, Stellenbosch, South Africa4 APHRC, Nairobi, Kenya8 Infectious Diseases Institute, Makerere University, Kampala, UgandaData Science Program, African Population and Health Research Center, Nairobi, KenyaCentre for Health and Population Research (MUCHAP), Iganga, Makerere University, Kampala, UgandaData Science Program, African Population and Health Research Center, Nairobi, KenyaStatistics, Infectious Diseases Research Collaboration, Kampala, UgandaCentre for Health and Population Research (MUCHAP), Iganga, Makerere University, Kampala, UgandaData Science Program, African Population and Health Research Center, Nairobi, KenyaData Science Program, African Population and Health Research Center, Nairobi, KenyaData Science Program, African Population and Health Research Center, Nairobi, KenyaInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, UgandaData Science Program, African Population and Health Research Center, Nairobi, KenyaIntroduction 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.https://bmjpublichealth.bmj.com/content/2/2/e000898.full |
| spellingShingle | Dan Kajungu Henry Owoko Odero Agnes Kiragga Steve Bicko Cygu Betty Nabukeera Lindsey English Shakira Babirye Collins Gyezaho Maureen Ng'etich Michael Ochola David Amadi Grace Banturaki Damazo Twebaze Kadengye Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data BMJ Public Health |
| title | Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data |
| title_full | Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data |
| title_fullStr | Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data |
| title_full_unstemmed | Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data |
| title_short | Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data |
| title_sort | understanding the demographic and socioeconomic determinants of morbidity in eastern uganda a retrospective analysis of the iganga mayuge health and demographic surveillance data |
| url | https://bmjpublichealth.bmj.com/content/2/2/e000898.full |
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