Forecasting Yield Improvement in Tanzania's Community Health Centres Using Time-Series Models

Community health centres in Tanzania face challenges in resource allocation and service delivery that impact their yield. A comprehensive assessment was conducted using a combination of historical data from community health centres across Tanzania. Time-series forecasting models were applied to predict future yield improvements based on current trends and patterns. The analysis revealed significant variability in service delivery, with some centres showing a 20% increase in patient consultations over the forecast period, indicating potential for improvement through targeted interventions. This study supports the use of time-series models as a robust tool for forecasting yield improvements in community health centers. Further research is recommended to validate these findings and explore practical applications. The implementation of evidence-based intervention strategies should be prioritised based on forecasted results, alongside continuous monitoring and evaluation of health centre performance. Community Health Centres, Tanzania, Time-Series Forecasting, Yield Improvement Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.