SMA is crucial in epidemiology for the following reasons:
Smoothing Data: It helps in smoothing out irregularities and short-term fluctuations, thus making it easier to identify underlying trends. Trend Analysis: Identifying trends in disease outbreaks, seasonal variations, or the impact of public health interventions. Forecasting: SMA can be used to make short-term forecasts which are essential for preparedness and response planning.
