Why is Data Disaggregation Important in Epidemiology?
Data disaggregation is crucial for understanding the distribution and determinants of health conditions across different segments of the population. By breaking down data by variables such as age, gender, ethnicity, geographical location, and socioeconomic status, public health professionals can uncover health disparities and inequities that might be obscured in aggregated data.
