Public health surveillance systems are crucial for monitoring and responding to infectious diseases in Rwanda. A mixed-methods approach was employed, including quantitative data analysis from surveillance records and qualitative interviews with stakeholders to assess system functionality and user satisfaction. The analysis revealed that the current system had a detection rate of 85% for early warning signals regarding disease outbreaks, with 15% false positives identified. Stakeholders reported high levels of user satisfaction (90%) but also highlighted challenges in data accuracy and timely reporting. While the surveillance system demonstrated robust performance in alerting to potential health threats, improvements are needed in ensuring accurate and timely data inputs. Implement a standardised training programme for all users to enhance data quality and efficiency. Strengthen IT infrastructure to reduce technical barriers. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Mudavipu et al. (2003) studied this question.