Public health surveillance systems play a critical role in monitoring infectious diseases such as malaria and tuberculosis (TB). In Uganda, these systems have been operational since to detect and respond to public health threats promptly. The methodology involves collecting and analysing surveillance data for two periods: pre-intervention (baseline, -) and post-intervention (follow-up, -). A Difference-in-Differences model will be used to assess the impact of system changes on disease detection. The analysis revealed a statistically significant increase in reported cases of malaria in the post-intervention period compared to baseline, suggesting improved reporting efficiency due to enhanced surveillance systems. This study provides evidence that public health surveillance systems have contributed to better monitoring and response to infectious diseases in Uganda. The findings support the need for continued investment in these systems. Future research should explore the long-term sustainability of surveillance systems, including potential improvements in data collection methods and training programmes for healthcare workers. public health surveillance, Difference-in-Differences (DiD), malaria, tuberculosis, Uganda Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Nabulimo et al. (Thu,) studied this question.