What question did this study set out to answer?

To evaluate the effectiveness of time-series forecasting models in predicting maternal care outcomes in Senegal.

March 15, 2026Open Access

Forecasting Maternal Care Outcomes in Senegal: A Time-Series Model Evaluation of Facility Systems

Puntos clave

To evaluate the effectiveness of time-series forecasting models in predicting maternal care outcomes in Senegal.
Implemented ARIMA model for time-series analysis of clinical data from selected hospitals.
Forecasted clinical outcomes and estimated treatment effects.
Continued validation of models for further regions with healthcare systems similar to Senegal.
ARIMA forecasts indicated a moderate reduction in neonatal mortality over the next year (3.5% decrease).
Time-series forecasting models show promise in monitoring maternal care outcomes.

Resumen

Maternal care in Senegal faces challenges related to facility systems, impacting clinical outcomes. Implemented ARIMA model for time-series analysis of clinical data from selected hospitals. ARIMA forecasts indicated a moderate reduction in neonatal mortality over the next year (3. 5% decrease). Time-series forecasting models show promise for monitoring and improving maternal care outcomes. Continue model validation and expansion to other regions with similar healthcare systems. Maternal Care, ARIMA Model, Forecasting, Senegal, Time-Series Analysis Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.

Leer artículo completoexternamente

Preguntar a la IA

Me gusta

Guardar

Ver artículo completo