Regional monitoring networks are crucial for effective governance in Uganda, particularly in tracking environmental changes or public health issues. However, their efficiency remains a subject of debate and requires rigorous evaluation. A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. The study utilised a difference-in-differences (DID) model to analyse network performance over time. The DID model revealed an average increase of 20% in monitoring coverage efficiency compared to pre-intervention levels, suggesting significant improvements in resource allocation and response times. This quasi-experimental design provides a robust framework for future evaluations of regional monitoring networks in Uganda, offering actionable insights into their operational effectiveness. Authorities should prioritise continuous data quality checks and stakeholder engagement to sustain these efficiency gains. Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
Okello et al. (Sat,) studied this question.
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