Characterizing exposure-disease association in human populations using the Lorenz curve and Gini index
Journal
Statistics in Medicine
Journal Volume
16
Journal Issue
7
Pages
729-739
Date Issued
1997
Author(s)
Abstract
To characterize exposure-disease association in human populations, epidemiologists have long relied upon such indices as 'relative risk' and/or 'attributable risk'. However, the relative risk is not in a common unit which permits comparison across different exposures or different diseases and the attributable risk may not adequately catch and describe the variation of disease risks in populations. The present paper discusses the possibility of using the summary index of the Lorenz curve, the Gini index, as an alternative measure of exposure-disease association. It is found that this index can be interpreted in several ways (as the coefficient of deviation in disease risk or relative risk, the information content of the exposure, the impact fraction of an exposure-lowering programme, and the averaged impact fraction) and is a promising alternative as a fundamental measure in epidemiology. Further studies are warranted to investigate its statistical properties.
SDGs
Other Subjects
article; disease association; epidemiology; human; population exposure; risk assessment; statistical analysis; Disease Transmission; Epidemiologic Methods; Humans; Models, Statistical; Population Density; Prevalence; Reproducibility of Results; Research Design; Risk; Risk Factors
Type
journal article