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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
More From: The American journal of tropical medicine and hygiene
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.