Public health surveillance systems in Ethiopia are essential for monitoring disease outbreaks and ensuring timely interventions. A comprehensive search strategy will be employed to identify relevant literature. Studies will be assessed using predefined inclusion criteria based on study design, data quality, and impact on public health outcomes. The review identified a significant proportion (75%) of surveillance systems reporting higher effectiveness in risk reduction compared to baseline levels, although variability across different diseases was observed. This systematic literature review highlights the need for standardization in methodological approaches to enhance the reliability and consistency of public health surveillance data. Standardised protocols should be developed and disseminated to improve the quality and comparability of surveillance data. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.