ArticleKidney medicine
Dialysis, COVID-19, Poverty, and Race in Greater Chicago: An Ecological Analysis.
Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Beyond healthcare access: social deprivation and COVID-19 outcomes in dialysis patients in the provence-alpes-côte d'Azur region, France.BMC infectious diseases · 2026Article
- Social determinants of health and COVID-19 recovery after inpatient rehabilitation.PM & R : the journal of injury, function, and rehabilitation · 2024Article
- Nephrologists' perspectives on the impact of COVID-19 on caring for patients undergoing dialysis in Latin America: a qualitative study.BMJ open · 2023Article
- GIS-based spatio-temporal analysis and modeling of COVID-19 incidence rates in Europe.Spatial and spatio-temporal epidemiology · 2022Article
- The frail world of haemodialysis patients in the COVID-19 pandemic era: a systematic scoping review.Journal of nephrology · 2021Article
- Space-Time Cluster's Detection and Geographical Weighted Regression Analysis of COVID-19 Mortality on Texas Counties.International journal of environmental research and public health · 2021Article
- Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices.PloS one · 2021Article
- COVID-19 in dialysis patients: outlasting and outsmarting a pandemic.Kidney international · 2020Article
- SARS-CoV-2 Antibody Seroprevalence Among Maintenance Dialysis Patients in the United States.Kidney medicineArticle
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8 authors at 1 institution in 1 country.
Funding
Abstract
RATIONALE &
objectivePersons with end-stage kidney disease receiving in-center maintenance hemodialysis may be at high risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure and severe outcomes with coronavirus disease 2019 (COVID-19). The objective of this study was to examine the correlation of SARS-CoV-2 positivity rate per capita and COVID-19-associated deaths with number of dialysis stations and demographics of residents within zip codes in Cook County, IL. STUDY
designEcological analysis. SETTING &
participantsData for SARS-CoV-2 test results and COVID-19-associated deaths during January 21 to June 15, 2020, among the 5,232,412 residents living within the 163 zip codes in Cook County, IL, were merged with demographic and income data from the US Census Bureau. The total number of positive test results in this population was 84,353 and total number of deaths was 4,007. ASSESSMENTS: Number of dialysis stations and stations per capita within a zip code were calculated. SARS-CoV-2-positive test results per capita were calculated as number of positive test results divided by the zip code population. COVID-19-associated deaths per capita were calculated as COVID-19 deaths among residents for a given zip code divided by the zip code population. ANALYTIC APPROACH: Spearman rank correlation coefficients were calculated to examine the correlation of SARS-CoV-2-positive tests per capita and COVID-19-associated deaths per capita with dialysis stations, demographics, and household poverty. To account for multiple testing, statistical significance was considered as
resultsAmong the 163 Cook County zip codes, there were 2,501 dialysis stations. Positive test results per capita were significantly associated with number of dialysis stations ( LIMITATIONS: Analysis is at the zip code level and not at the person level.
conclusionsThe number of dialysis stations within a zip code correlates with the SARS-CoV-2 positivity rate per capita in Cook County, IL, and this correlation may be driven by population density and the demographics of the residents. These findings highlight the high risk of SARS-CoV-2 exposure for patients with end-stage kidney disease living in poor urban areas.
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