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This research evaluates the effectiveness of public health surveillance systems in Nigeria.

February 26, 2026Open Access

Methodological Evaluation of Public Health Surveillance Systems in Nigeria: A Multilevel Regression Analysis on Risk Reduction Measures

Puntos clave

This research evaluates the effectiveness of public health surveillance systems in Nigeria.
Used multilevel logistic regression model
Assessed interventions at national and subnational levels
Analyzed vaccination coverage impact on disease incidence
Vaccination coverage showed a significant protective effect (OR = 1.25, CI: [1.08-1.46])
Findings indicate the need for strengthened surveillance systems
Increased funding for vaccinations and improved data collection methods suggested

Resumen

Public health surveillance systems in Nigeria are critical for monitoring infectious diseases to reduce morbidity and mortality. A multilevel logistic regression model was employed to assess the impact of various interventions at both national and subnational levels. The multilevel regression analysis indicated that vaccination coverage had a significant protective effect (OR = 1.25, CI: 1.08-1.46) against disease incidence. Public health surveillance systems in Nigeria need to be strengthened at both national and subnational levels to enhance their effectiveness. Increased funding for vaccination campaigns and improved data collection methods are recommended to reduce disease risk. public health surveillance, multilevel regression, Nigeria, disease risk reduction

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