The World Health Organization defines health equity as a public health concept describing equity of access to health resources for genetic, socio-environmental, and economic determinants of health, varying according to individuals, families, and social or societal groups. Concerns about data equity have surfaced, which may result in many populations, including those in rural areas with disabilities, experiencing homelessness or living in low and middle-income regions of the world, being underrepresented in health data sets. This can lead to biased findings and suboptimal health outcomes for certain subgroups, which is the focus of this episode of Stats+Stories with guest Bhramar Mukherjee.

Dr. Bhramar Mukherjee is the inaugural Senior Associate Dean of Public Health Data Science and Data Equity and the Anna M. R. Lauder Professor of Biostatistics, as well as Professor of Epidemiology and of Statistics and Data Science at Yale University. Among her many honors, she was elected to the US National Academy of Medicine in 2022.