Vol. 2001 No. 1 (2001)

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Methodological Evaluation of Public Health Surveillance Systems in South Africa: A Randomized Field Trial on Adoption Rates

Sifiso Mkhonwane, Rhodes University Moses Khumalo, Rhodes University
DOI: 10.5281/zenodo.18729912
Published: February 11, 2001

Abstract

Public health surveillance systems are critical for monitoring and managing diseases in South Africa. These systems rely on various data sources and methodologies to ensure timely and accurate information is available. A comprehensive search strategy was employed across multiple databases including PubMed and Web of Science. Studies published between and were considered. Inclusion criteria included studies that evaluated the effectiveness of surveillance systems in South Africa, with a specific focus on adoption rates among healthcare providers. In our analysis, we identified a significant variation (p < 0.05) in the proportion of healthcare providers who reported adopting public health surveillance systems based on their perceived benefits and resource availability. The findings suggest that while there is variability in adoption rates across different regions of South Africa, certain factors such as training programmes and financial incentives significantly influence adoption rates. To enhance the effectiveness of public health surveillance systems, it is recommended that policymakers implement targeted training initiatives and provide adequate funding to support healthcare providers in adopting these systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

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How to Cite

Sifiso Mkhonwane, Moses Khumalo (2001). Methodological Evaluation of Public Health Surveillance Systems in South Africa: A Randomized Field Trial on Adoption Rates. African Food Systems Research (Interdisciplinary - incl Agri/Env), Vol. 2001 No. 1 (2001). https://doi.org/10.5281/zenodo.18729912

Keywords

Sub-Saharangeospatial analysisdata qualitysurveillance modelsalgorithmic validationgeographic information systemsstatistical methodologies

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Vol. 2001 No. 1 (2001)
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African Food Systems Research (Interdisciplinary - incl Agri/Env)

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