What question did this study set out to answer?

To evaluate the cost-effectiveness of public health surveillance systems in Kenya using panel data.

March 15, 2026Open Access

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for Cost-Effectiveness Analysis

View Full Paper

Ask AI

Bookmark

Authors

Panel data analysis shows urban areas improve infection control by 20% over rural areas, indicating a need for better disease management.

To evaluate the cost-effectiveness of public health surveillance systems in Kenya using panel data.
Used fixed effects regression model to analyze healthcare expenditure and disease prevalence over time.
Quantified uncertainty with robust standard errors.
Compared cost-effectiveness of surveillance systems between urban and rural areas.
Urban areas outperformed rural areas by an average of 20% in infection control.
Significant variations in cost-effectiveness were identified across different regions.
Investment priorities should shift toward underserved areas for equitable surveillance coverage.

Charles et al. (2013) studied this question.

View Full Paper

Ask AI

Bookmark