Public health surveillance systems in Rwanda aim to monitor and respond to infectious diseases effectively. A difference-in-differences (DiD) model was applied to assess changes in clinical outcomes before and after implementing enhanced surveillance protocols. The study utilised anonymised patient records from 35 hospitals across Rwanda. The DiD analysis revealed a statistically significant increase of 12% in the detection rate of infectious diseases following the implementation of new surveillance measures, with confidence intervals around this estimate indicating robust reliability. Enhanced public health surveillance systems have shown promise in improving early disease detection and management outcomes in Rwandan healthcare facilities. Further research should investigate long-term impacts and explore scalability of these surveillance methods across diverse settings. public health, surveillance, clinical outcomes, difference-in-differences Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Kabuyumba Mukamiza (Wed,) studied this question.