Quasi-experimental design assesses risk reduction outcomes in public health surveillance systems, suggesting improvements.
Public health surveillance systems are crucial for monitoring disease outbreaks and other public health events in South Africa. A systematic literature review will be conducted to assess the validity and reliability of surveillance data collection methods, focusing on studies published between and . Findings indicate that while most systems use a combination of passive and active reporting mechanisms, there is significant variability in data accuracy due to inconsistencies in reporting practices. The quasi-experimental design will provide insights into the impact of surveillance system improvements on risk reduction outcomes, facilitating evidence-based policy recommendations. Recommendation for policymakers includes enhancing training programmes for health workers and establishing clearer guidelines for data collection protocols. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Motshega et al. (2000) studied this question.
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