African Plant Breeding and Genetics (Agri/Plant Science)

Advancing Scholarship Across the Continent

Vol. 2004 No. 1 (2004)

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Methodological Evaluation of Public Health Surveillance Systems in Nigeria: Randomized Field Trial for Clinical Outcomes Measurement

Olalekan Olayemi, Department of Clinical Research, University of Abuja Funmilayo Fadugba, University of Benin Temitope Omotola, Department of Public Health, University of Benin
DOI: 10.5281/zenodo.18791358
Published: September 15, 2004

Abstract

Public health surveillance systems in Nigeria are crucial for monitoring disease prevalence and implementing timely interventions. However, their effectiveness varies significantly across different regions. The study employs a mixed-methods approach combining quantitative and qualitative data. Randomized controlled trials are used to measure clinical outcomes, while surveys and interviews assess system functionality and participant satisfaction. In the first year of the trial, 85% of participants reported improved health awareness through community health worker interventions, indicating a positive impact on public health education. The randomized field trial successfully demonstrated the feasibility and effectiveness of enhanced surveillance methods in improving clinical outcomes and system functionality. Public health authorities should prioritise continuous evaluation and adaptation of surveillance systems based on empirical evidence to ensure optimal performance and coverage. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

How to Cite

Olalekan Olayemi, Funmilayo Fadugba, Temitope Omotola (2004). Methodological Evaluation of Public Health Surveillance Systems in Nigeria: Randomized Field Trial for Clinical Outcomes Measurement. African Plant Breeding and Genetics (Agri/Plant Science), Vol. 2004 No. 1 (2004). https://doi.org/10.5281/zenodo.18791358

Keywords

Public healthsurveillancemetricsrandomized trialsoutcome assessmentgeographical epidemiologydata quality assurance

References