analysis of time series data

What Methods are Used for Time Series Analysis in Epidemiology?

Several methods are employed for analyzing time series data in epidemiology, including:
Autoregressive Integrated Moving Average (ARIMA): A popular method that combines autoregression, differencing, and moving average techniques.
Seasonal Decomposition of Time Series (STL): A technique to separate data into seasonal, trend, and irregular components.
Exponential Smoothing: Methods like Holt-Winters that account for trends and seasonality.
Generalized Additive Models (GAM): Flexible models that can capture non-linear relationships.

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