Methodological Evaluation of Public Health Surveillance Systems Adoption in Uganda: A Quasi-Experimental Approach

Public health surveillance systems play a crucial role in monitoring diseases and outbreaks, particularly in resource-limited settings such as Uganda. A mixed-methods approach was employed including surveys and interviews to collect data from 150 healthcare facilities. Data analysis utilised logistic regression for estimating adoption rates with robust standard errors accounting for clustering effects. Among the surveyed facilities, 72% reported adopting public health surveillance systems within six months of implementation. This trend varied significantly by facility type and geographic region. The quasi-experimental design provided insights into factors influencing system adoption in Ugandan healthcare settings. Future studies should explore strategies to enhance system uptake among underserved facilities. Public Health Surveillance, Quasi-Experimental Design, Healthcare Facilities, Adoption Rates Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.