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To evaluate adoption rates of water treatment facilities in Senegal and predict future trends.

March 8, 2026Open Access

Time-Series Forecasting Model for Measuring Adoption Rates of Water Treatment Facilities in Senegal

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To evaluate adoption rates of water treatment facilities in Senegal and predict future trends.
Conducted time-series analysis using historical data of installed water treatment facilities.
Applied a SARIMA model with exogenous variables for forecasting.
Analyzed seasonal patterns in new installations based on dry and rainy seasons.
Forecasted a 5% increase in installed water treatment facilities over the next year.
Identified significant seasonal variations: increases during dry season and decreases during rainy season.
Achieved a prediction accuracy with a confidence interval of ±3% for policy planning.

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Time-series analysis forecasts a 5% growth in water treatment facilities in Senegal, suggesting resource allocation during dry season.

Muhammadou Diop (2009) studied this question.

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