Disease incidence and prevalence data can be highly variable due to numerous factors such as reporting delays, random events, and seasonal effects. Moving averages help to:
Reduce noise and highlight underlying trends. Provide a clearer picture of the disease's progression over time. Facilitate better comparison between different time periods. Assist in predicting future disease trends.