Why is Outlier Detection Important in Epidemiology?
In epidemiology, detecting outliers is essential for several reasons:
Data Quality: Outliers can signify errors in the data, such as incorrect recordings or data entry mistakes. Disease Surveillance: Identifying unusual patterns can help in early detection of disease outbreaks. Statistical Analysis: Outliers can skew results and lead to incorrect conclusions, making it vital to address them. Resource Allocation: Understanding outliers can aid in better resource distribution during health crises.
