Public health surveillance systems are crucial for monitoring diseases and managing public health crises in Ethiopia. A difference-in-differences (DiD) model was employed to assess changes in disease prevalence before and after implementing surveillance enhancements. The study utilised data from two time periods: pre-implementation and post-implementation phases. The DiD analysis revealed a significant reduction in the incidence of measles by 30% within one year of enhanced surveillance, with a confidence interval around the effect estimate indicating variability due to sampling error. Enhanced public health surveillance systems have demonstrated cost-effectiveness and potential for reducing disease prevalence in Ethiopia. Further research should be conducted to validate these findings across different diseases and regions within Ethiopia. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Assefa et al. (Fri,) studied this question.
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