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The research aims to assess the cost-effectiveness of public health surveillance systems across different regions in Kenya.

February 22, 2026Open Access

Evaluating Public Health Surveillance Systems in Kenya: A Cost-Effectiveness Panel Data Analysis

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The research aims to assess the cost-effectiveness of public health surveillance systems across different regions in Kenya.
Utilized a cost-effectiveness panel data analysis approach.
Employed a fixed effects model with robust standard errors.
Analyzed data from multiple Kenyan regions to understand regional effectiveness.
Estimated the cost-effectiveness ratio for disease detection in rural and urban settings.
High-density urban areas showed a cost-effectiveness ratio of $100 per detected case.
Lower resource investments in rural areas achieved similar disease detection outcomes.
Findings suggest a need for targeted funding based on regional characteristics.

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Cost-effectiveness analysis evaluates disease detection in Kenya, suggesting regional resource allocation improvements.

Ochieng Mwangi (2000) studied this question.

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