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March 12, 20260 citationsOpen Access

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia: Quasi-Experimental Design for Efficiency Measurement

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BYBiyalle YimerMAMengistu AbebawAWAlemayehu Woldesenbet

Key Points

  • Evaluate the performance of public health surveillance systems in Ethiopia using a quasi-experimental approach.
  • Employed a quasi-experimental design to assess surveillance system performance.
  • Measured changes in case notification rates and response times before and after implementing guidelines.
  • Estimated treatment effects using logit regression analysis.
  • Case notification rates increased by an average of 30% following improved reporting guidelines.
  • Response times decreased by up to 15%, indicating more efficient outbreak response.
  • Demonstrated potential for enhancing surveillance efficiency through standardised protocols.

Abstract

Public health surveillance systems are crucial for monitoring infectious diseases in low- to middle-income countries like Ethiopia. These systems aim to detect and respond to outbreaks efficiently. A quasi-experimental design was employed to assess the performance of surveillance systems. Key variables included case notification rates and response times. Case notification rates showed an average increase of 30% after implementing improved reporting guidelines, with significant reductions in response time by up to 15%. The quasi-experimental design demonstrated the potential for methodological improvements to enhance surveillance system efficiency. Standardised reporting protocols should be implemented to ensure consistent data collection and analysis across different regions in Ethiopia. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.

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Cite This Study

Yimer et al. (2011) studied this question.

synapsesocial.com/papers/69b257bf96eeacc4fcec6b73https://doi.org/10.5281/zenodo.18927193
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