Conference Abstract | Volume 9, Abstract 038 (ConfProc7) | Published: 04 May 2026
Hamidu Saddat1,&, Rita Agyekumwah Asante2
1Veterinary Service Department, Bongo District, Upper East Region, Ghana, 2Ghana Field Epidemiology and Laboratory Training Programme, Accra, Ghana
&Corresponding author: Hamidu Saddat, Veterinary Service Department, Bongo District, Upper East Region, Ghana, Email: saddatvet@gmail.com
Received: 23 Aug 2025, Accepted: 28 Oct 2025, Published: 04 May 2026
Domain: Infectious Disease Epidemiology
Keywords: Data quality audit, Disease Surveillance, SWOT analysis, Bongo District
©Hamidu Saddat 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: Hamidu Saddat et al. Data quality audit among staff of the veterinary services department operational zones in Bongo District, Ghana. Journal of Interventional Epidemiology and Public Health. 2026;9(ConfProc7):0038. https://doi.org/10.37432/JIEPH-CONFPRO7-0038
A cross-sectional study design was used to assess veterinary surveillance and service delivery in Bongo District. Using qualitative methods, data were collected through stakeholder interviews, field observations, and records review to evaluate the accuracy, completeness, and reliability of surveillance data. The audit covered three operational zones—BEO/Adaboya, Bongo Central, and Soe/FEO. selected for their distinct characteristics in service coverage, stakeholder presence, and livestock disease patterns. A swot analysis was used to analyze the data.
This audit engaged six stakeholders (100%), males, comprising equal numbers of animal health officers and community animal health workers. A SWOT analysis in Adaboya/Beo, Bongo Central, and Soe operational areas revealed clear reporting structures, timely submission of VF1 forms, and strong commitment from officers as key strengths. Common weaknesses included limited knowledge of case definitions, poor record-keeping, and inability to analyze or organize surveillance data, while opportunities lay in existing NGO partnerships, electronic reporting systems, and regular supervision. Major threats identified were inadequate logistics, lack of vaccines and laboratory facilities, poor road access, and absence of electronic storage and backup systems, which together undermine efficient disease surveillance and rapid outbreak response.
The data quality audit revealed that all three zones lacked data validation teams, negatively impacting data accuracy, and highlighted the need for stronger supervision by the district veterinary officer. Provision of case-based forms, clear case definition guidelines, electronic reporting systems, vaccines, vaccine carriers, and sample collection materials is essential to improve data standards and strengthen service delivery.
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