Assessment of the COVID-19 Surveillance System in Sudan: Performance, Limitations, and Recommendations

Abstract

Assessing the COVID-19 surveillance system is vital. It identifies cases swiftly and is crucial in curbing COVID-19 spread, especially among vulnerable groups. Public health surveillance collects, analyzes, and shares data systematically, informing actions to lessen disease impact. Here we used a mixed-approach method to assess the COVID-19 surveillance system in Sudan by reviewing the secondary data (line list) from January 28, 2020 to November 2, 2022. The system's effectiveness was rated weak based on the poor quality and incompleteness of the collected data, as well as the reporting process to policymakers and responders. Moreover, the system's acceptability score was low, mainly because of the incompleteness and delays in data reported from the private sector. This assessment recommends that the Federal Ministry of Health invest in improving the surveillance system by building the technical capacity of the staff, infrastructure, and utilization of the District Health Information Software-2 for data collection, analysis, and dissemination.

Figure 1.

Flow chart of the assessment of COVID-19 surveillance system in Sudan. The system attributes assessed included data quality, timeliness, sensitivity, usefulness, simplicity, flexibility, acceptability, representativeness, and stability.