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Abstract: PO0758

Distribution of SARS-CoV-2 Positive Tests, Dialysis Stations, and Household Poverty Within Cook County, Illinois

Session Information

Category: Coronavirus (COVID-19)

  • 000 Coronavirus (COVID-19)

Authors

  • Bhayani, Siddharth, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois, United States
  • Sengupta, Ranit, Loyola University Chicago, Chicago, Illinois, United States
  • Markossian, Talar, Loyola University Chicago, Chicago, Illinois, United States
  • Tootooni, Mohammad samie, Loyola University Chicago, Chicago, Illinois, United States
  • Luke, Amy, Loyola University Chicago, Chicago, Illinois, United States
  • Shoham, David A., Loyola University Chicago, Chicago, Illinois, United States
  • Cooper, Richard, Loyola University Chicago, Chicago, Illinois, United States
  • Kramer, Holly J., Loyola University Medical Center, Maywood, Illinois, United States
Background

End stage renal disease (ESRD) shows higher prevalence in poor urban communities, areas with high SARS-CoV-2 exposure risk. This ecological analysis examined the correlation of SARS-CoV-2 positive tests per capita with number of dialysis stations, demographics and income data of the residents within ZIP codes (n=163) in Cook County, Illinois.

Methods

Data on SARS-CoV-2 positive tests per capita within a ZIP code were merged with ZIP code data on number of dialysis stations (sum of dialysis stations per dialysis center), demographics and household income, during a period from January 21-May 16, 2020 in Cook County (5,231,852 residents). Spearman’s rank correlation coefficients were calculated to examine the linear correlation of SARS-CoV-2 positive tests per capita with dialysis stations, demographics and household poverty. We mapped SARS-CoV-2 positive tests per capita and total dialysis stations by ZIP code in Cook County.

Results

Positive tests per capita correlated significantly with number of dialysis stations (r = 0.23; 95% CI 0.18, 0.28; P < 0.005), number of households living in poverty (r= 0.58; 95% CI 0.54, 0.61; P < 0.005) and percentage of residents reporting Black race (r = 0.34 p < 0.005, CI = 0.30, 0.39) or Hispanic ethnicity (r = 0.60 p < 0.001, CI: 0.57-0.63). Figure 1 show several areas within Cook County with both high number of SARS-CoV-2 tests per capita and number of dialysis stations.

Conclusion

SARS-CoV-2 tests per capita correlates positively with number of dialysis stations, and poverty status of that ZIP code. These findings highlight the high risk of SARS-CoV-2 exposure for patients with ESRD living in poor urban areas.