COVID-19: Evidenced Health Disparity




Iyanda, Ayodeji E.
Boakye, Kwadwo
Lu, Yongmei

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Multidisciplinary Digital Publishing Institute


Health disparity is an unacceptable, unjust, or inequitable difference in health outcomes among different groups of people that affects access to optimal health care, as well as deterring it. Health disparity adversely affects disadvantaged subpopulations due to a higher incidence and prevalence of a particular disease or ill health. Existing health disparity determines whether a disease outbreak such as coronavirus disease 2019, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), will significantly impact a group or a region. Hence, health disparity assessment has become one of the focuses of many agencies, public health practitioners, and other social scientists. Successful elimination of health disparity at all levels requires pragmatic approaches through an intersectionality framework and robust data science.



health disparity, intersectionality, data science, machine learning, public health, GIS, Geography and Environmental Studies


Iyanda, A., Boakye, K., & Lu, Y. (2021). COVID-19: Evidenced health disparity. Encyclopedia, 1(03), pp. 744-763.


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