Conference Abstract | Volume 9 (ConfPro8): Abstract 61 | Published: 09 Oct 2026
Samson Obripuo1,&, Samuel Dapaa2, Genevieve Yiripare1, Magdalene Akos Odikro2, Samuel Oko Sackey2
1Daffiama Bussie Issa District of Ghana Health Service, Ghana; 2Ghana Field Epidemiology and Laboratory Training Programme, Accra, Ghana
&Corresponding author: Samson Obripuo, Daffiama Bussie Issa District of Ghana Health Service, Ghana, Email: sobripuo@gmail.com
Received: 11 Mar 2026, Accepted: 30 Aug 2026, Published: 09 Oct 2026
Domain: Infectious Disease Epidemiology
Keywords: Surveillance, reporting, timeliness, completeness, Ghana
©Samson Obripuo 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: Samson Obripuo et al., Strengthening disease surveillance systems through performance monitoring and trend analysis in Daffiama Bussie Issa District, Ghana, 2026. Journal of Interventional Epidemiology and Public Health. 2026;9(ConfPro8):61. https://doi.org/10.37432/JIEPH-CONFPRO8-0061
In Ghana, the Integrated Disease Surveillance and Response (IDSR) strategy requires health facilities to routinely detect, record and report priority diseases and events to support timely public health action. Routine surveillance systems are critical for early outbreak detection. This review assessed surveillance system performance and described priority disease trends in Daffiama Bussie Issa District, Ghana, 2026.
A descriptive analysis of routine surveillance data was conducted using weekly IDSR reports from health facilities in the Daffiama Bussie Issa District. Data were extracted from District Health Information Management System II (DHIMS2), line lists and case investigation forms. Reporting completeness and timeliness performance cut-off was ≥80%. Summary statistics were calculated for priority diseases using Microsoft Excel and presented as tables and charts.
All 32 health facilities submitted weekly surveillance reports with 100% completeness. Timeliness ranged from 36.4% to 100%, with 16 facilities missing the national target. Of 991 suspected cases 96.4% (955/991) were acute watery diarrhoea and suspected human rabies constituted 0.2% (2/991) as the least. Other priority diseases reported were 11 suspected measles cases, 8 suspected meningitis cases, 7 suspected yellow fever cases. All the suspected meningitis were Polymerase Chain Reaction (PCR) negative whiles the results for the rest are yet to be received. No outbreaks were detected and meningitis cases remained below the alert and epidemic thresholds of 2 and 5 cases per week throughout the period.
The surveillance system revealed strong reporting completeness with 100% of the facilities reporting within the period. However, 50% (16/32) of the health facilities reported late. This delayed reporting and inadequate use of surveillance data for decision-making may limit timely detection of public health threats. Strengthening routine data analysis, feedback mechanisms and supportive supervision will enhance surveillance performance and support early outbreak detection and response.
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