Statistical anomalies, also known as outliers, are data points that deviate significantly from other observations. In epidemiology, these anomalies can occur due to various reasons such as errors in data collection, natural variation, or unique events. Recognizing these outliers is essential as they can either provide valuable insights or distort the overall findings.
