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Coronavirus testing disparities associated with community level deprivation, racial inequalities, and food insecurity in West Virginia.
Hendricks, Brian; Paul, Rajib; Smith, Cassie; Wen, Sijin; Kimble, Wes; Amjad, Ayne; Atkins, Amy; Hodder, Sally.
  • Hendricks B; West Virginia University, Department of Epidemiology, Morgantown, WV; West Virginia Clinical and Translational Sciences Institute, Morgantown, WV. Electronic address: bmhendricks@hsc.wvu.edu.
  • Paul R; University of North Carolina at Charlotte, Department of Public Health Sciences, Charlotte, NC.
  • Smith C; West Virginia University, Department of Epidemiology, Morgantown, WV.
  • Wen S; West Virginia University, Department of Biostatistics, Morgantown, WV.
  • Kimble W; West Virginia Clinical and Translational Sciences Institute, Morgantown, WV.
  • Amjad A; West Virginia Department of Health and Human Resources Charleston, WV.
  • Atkins A; West Virginia Department of Health and Human Resources Charleston, WV.
  • Hodder S; West Virginia Clinical and Translational Sciences Institute, Morgantown, WV; West Virginia University School of Medicine, Morgantown, WV.
Ann Epidemiol ; 59: 44-49, 2021 07.
Article in English | MEDLINE | ID: covidwho-1163329
ABSTRACT

PURPOSE:

Social determinants of health and racial inequalities impact healthcare access and subsequent coronavirus testing. Limited studies have described the impact of these inequities on rural minorities living in Appalachia. This study investigates factors affecting testing in rural communities.

METHODS:

PCR testing data were obtained for March through September 2020. Spatial regression analyses were fit at the census tract level. Model outcomes included testing and positivity rate. Covariates included rurality, percent Black population, food insecurity, and area deprivation index (a comprehensive indicator of socioeconomic status).

RESULTS:

Small clusters in coronavirus testing were detected sporadically, while test positivity clustered in mideastern and southwestern WV. In regression analyses, percent food insecurity (IRR = 3.69×109, [796, 1.92×1016]), rurality (IRR=1.28, [1.12, 1.48]), and percent population Black (IRR = 0.88, [0.84, 0.94]) had substantial effects on coronavirus testing. However, only percent food insecurity (IRR = 5.98 × 104, [3.59, 1.07×109]) and percent Black population (IRR = 0.94, [0.90, 0.97]) displayed substantial effects on the test positivity rate.

CONCLUSIONS:

Findings highlight disparities in coronavirus testing among communities with rural minorities. Limited testing in these communities may misrepresent coronavirus incidence.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Testing / Food Insecurity Type of study: Diagnostic study / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Ann Epidemiol Journal subject: Epidemiology Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Testing / Food Insecurity Type of study: Diagnostic study / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Ann Epidemiol Journal subject: Epidemiology Year: 2021 Document Type: Article