How can public health experts predict disease outbreaks before they spread?
In this episode, you’ll learn how time-series analysis and machine learning are used in public health to monitor trends, detect anomalies, and forecast disease outbreaks.

We break down classical time-series models like ARIMA, Holt, and Holt-Winters, explore how machine learning enhances outbreak prediction, and explain how early-warning models help identify emerging public health threats. 

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