COVID-19: Evidenced Health Disparity

Date

2021-08-05

Authors

Iyanda, Ayodeji E.
Boakye, Kwadwo
Lu, Yongmei

Journal Title

Journal ISSN

Volume Title

Publisher

Multidisciplinary Digital Publishing Institute

Abstract

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.

Description

Keywords

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

Citation

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

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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