ARIMA models are valuable in epidemiology for several reasons:
1. Predictive Power: These models can forecast future disease trends, helping public health officials prepare for potential outbreaks. 2. Flexibility: They can be adapted to different types of epidemiological data, including weekly or monthly incidences. 3. Simplicity: ARIMA models are relatively straightforward to implement and interpret compared to more complex models.
