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This research paper presents an enhanced forecasting model for cholera outbreaks in Nigeria, integrating the seasonal autoregressive integrated moving average (SARIMA) model with discrete wavelet transform (DWT) for improved accuracy. The proposed Enhanced SARIMA (ESARIMA) model achieved an accuracy of 97% compared to the traditional SARIMA model

Author

Tanzila Islam

Language

EN