Conference Abstract | Volume 9 (ConfPro8): Abstract 82 | Published: 11 Oct 2026
Divine Yao Mayer1,2,&, Anthony Zunuo Dongdem2, Fortress Yayra Aku2
1Volta Regional Hospital, Hohoe P.O. Box 27, Ghana Health Service; 2Department of Epidemiology and Biostatistics, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana
&Corresponding author: Divine Yao Mayer, Department of Epidemiology and Biostatistics, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana, Email: mayerdivineyao24@gmail.com, ORCID: https://orcid.org/0009-0006-1695-3203
Received: 11 Mar 2026, Accepted: 30 Aug 2026, Published: 11 Oct 2026
Domain: Infectious Disease Epidemiology
Keywords: Diarrhoea, public health surveillance, incidence, cross-sectional studies, Ghana
©Divine Yao Mayer 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: Divine Yao Mayer et al., Acute watery diarrhoea surveillance data analysis in Hohoe Municipality, Ghana, 2020–2024. Journal of Interventional Epidemiology and Public Health. 2026;9(ConfPro8):82. https://doi.org/10.37432/JIEPH-CONFPRO8-0082
Acute Watery Diarrhoea (AWD) remains a major public health concern in low-resource settings, including Ghana, where environmental and behavioural factors drive transmission. Routine analysis of AWD surveillance data is essential for understanding patterns over time and place and for supporting timely public health action. This study examined the geographical, spatial, and temporal distribution of AWD among persons aged ≥5 years in Hohoe Municipality from 2020 to 2024.
A descriptive cross-sectional study design was used to analyse secondary data extracted from the District Health Information Management System 2 (DHIMS2), Ghana’s national electronic health database. Suspected AWD cases reported from four sub-districts (Hohoe, Gbi-Urban, Agumatsa, and Alavanyo) were analysed using Microsoft Excel for temporal trends and ArcGIS for spatial mapping. Descriptive statistics were used to summarise trends by place and time, while spatial autocorrelation (Moran’s I) and hotspot analysis were performed to assess clustering.
A total of 3,632 suspected AWD cases were reported over the five years. The annual incidence was lowest in 2022 (452 per 100,000 population) and highest in 2024 (1,202 per 100,000 population). Monthly trends showed seasonal peaks, particularly during rainy periods, with notable increases in August and November in selected years. Hohoe sub-district recorded the highest case burden (58.1%), while Alavanyo recorded the lowest (9.8%). Spatial analysis showed no statistically significant clustering of cases across the municipality (Moran’s I = -0.174, p = 0.669), and no hotspot areas were identified.
AWD among persons aged ≥5 years in Hohoe Municipality varied over time and across sub-districts from 2020 to 2024, with higher burdens in urban areas. Continuous surveillance and timely data analysis are essential for effective monitoring, early outbreak detection, and public health planning.
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