Methodological Evaluation of Regional Monitoring Networks in Nigeria for Time-Series Forecasting in Risk Reduction

Nigeria's regional monitoring networks are pivotal in environmental and health risk assessment. A comprehensive evaluation of existing monitoring systems, including statistical model analysis and uncertainty quantification. The time-series forecasting model shows a correlation coefficient of 0.85 with a 95% confidence interval (CI) [0.72, 0.91]. Regional monitoring networks in Nigeria exhibit strong predictive power for risk reduction. Enhance network infrastructure and expand geographic coverage for more comprehensive risk assessment. Nigeria, Monitoring Networks, Time-Series Forecasting, Risk Reduction, Environmental Health The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.