Conference Abstract | Volume 9 (ConfPro8): Abstract 48 | Published: 08 Oct 2026
Solomon Nang-Lazuma Koggoh1,&, Dennis Kwaku Mawuli Okyere2, Anthony Dongdem1, Fortress Yayra Aku1
1Department of Epidemiology and Biostatistics, Fred Newton Binka School of Public Health, University of Health and Allied Sciences, Ghana, 2Department of Population and Behavioural Sciences, Fred Newton Binka School of Public Health, University of Health and Allied Sciences, Ghana
&Corresponding author: Solomon Nang-Lazuma Koggoh, Department of Epidemiology and Biostatistics, Fred Newton Binka School of Public Health, University of Health and Allied Sciences, Ghana, Email: skoggoh99@gmail.com, ORCID: https://orcid.org/0009-0007-6411-4276
Received: 11 Mar 2026, Accepted: 30 Aug 2026, Published: 08 Oct2026
Domain: Infectious Disease Epidemiology
Keywords: Cholera, surveillance, outbreak, spatial epidemiology
©Solomon Nang-Lazuma Koggoh et al. Journal of Interventional Epidemiology and Public Health (ISSN: 2664-2824). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article: Solomon Nang-Lazuma Koggoh et al., Cholera surveillance data analysis in the Greater Accra Region, Ghana, 2020–2024. Journal of Interventional Epidemiology and Public Health. 2026;9(ConfPro8):48. https://doi.org/10.37432/JIEPH-CONFPRO8-0048
Cholera remains a significant public health threat in Ghana, particularly in densely populated urban settings. Despite being preventable, recurrent outbreaks continue to strain health systems. This study examined temporal trends, spatial distribution, demographic characteristics, and factors associated with cholera infection in the Greater Accra Region from 2020 to 2024, to inform targeted outbreak prevention and response.
A retrospective secondary data analysis was conducted using routinely collected cholera surveillance data from the District Health Information Management System (DHIMS2) and the Surveillance Outbreak Response Management and Analysis System (SORMAS), from January 2020 to December 2024. Descriptive statistics summarised suspected and confirmed cases. Also, temporal trends were plotted using line and bar graphs. Spatial distribution and hotspots were mapped using ArcGIS version 10.4. Chi-square tests and logistic regression examined associations between sociodemographic variables and cholera infection.
A total of 697 suspected and 102 confirmed cases were recorded; 96% of suspected cases occurred in 2024 alone, after minimal transmission between 2020 and 2023. Of 799 cases with complete data, 52.4% were males and 30.9% were aged 10–24 years. Cases rose sharply from August, peaking in October 2024, coinciding with the rainy season. Ablekuma West (35.3%), Ada East (22.6%), and Ga East (8.8%) recorded the highest burden, with clustering in southwestern coastal districts. Age was significantly associated with infection, with higher odds among those aged 10–24 (aOR=2.94), 25–34 (aOR=4.51), and ≥35 years (aOR=2.92) compared to children under 10 years (p<0.01 each).
The 2024 resurgence reflects a cyclical, rainfall-driven outbreak concentrated in specific districts and age groups. Findings support targeted water, sanitation, and hygiene interventions, vaccination and health education for adolescents and young adults, and rainfall-linked early warning systems in high-burden districts, advancing Ghana’s cholera elimination goals.
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