COVID-19: Evidenced Health Disparity

dc.contributor.authorIyanda, Ayodeji E.
dc.contributor.authorBoakye, Kwadwo
dc.contributor.authorLu, Yongmei
dc.date.accessioned2022-11-17T16:55:19Z
dc.date.available2022-11-17T16:55:19Z
dc.date.issued2021-08-05
dc.description.abstractHealth 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.
dc.description.departmentGeography and Environmental Studies
dc.formatText
dc.format.extent20 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationIyanda, A., Boakye, K., & Lu, Y. (2021). COVID-19: Evidenced health disparity. Encyclopedia, 1(03), pp. 744-763.
dc.identifier.doihttps://doi.org/10.3390/encyclopedia1030057
dc.identifier.issn2673-8392
dc.identifier.urihttps://hdl.handle.net/10877/16317
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute
dc.rights.licenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.sourceEncyclopedia, 2021, Vol. 01, No. 03, pp. 744-763.
dc.subjecthealth disparity
dc.subjectintersectionality
dc.subjectdata science
dc.subjectmachine learning
dc.subjectpublic health
dc.subjectGIS
dc.subjectGeography and Environmental Studies
dc.titleCOVID-19: Evidenced Health Disparity
dc.typeArticle

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