Metodological Evaluation of Off-Grid Communities Systems in Senegal: Time-Series Forecasting for Clinical Outcomes Prediction

Off-grid communities in Senegal face challenges in healthcare delivery due to limited access to electricity. A systematic review of existing studies, employing time-series forecasting methods with robust standard errors as uncertainty measures. The analysis revealed that the time-series model predicted an average improvement in healthcare access by 15% over two years. The developed predictive model could enhance resource allocation and planning for off-grid communities. Implementing the model requires collaboration between health authorities, technology providers, and community leaders to ensure effective implementation. off-grid systems, Senegal, time-series forecasting, clinical outcomes The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.