2022
DOI: 10.1186/s12889-022-12698-9
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Structural racism and COVID-19 response: higher risk of exposure drives disparate COVID-19 deaths among Black and Hispanic/Latinx residents of Illinois, USA

Abstract: Background Structural racism has driven and continues to drive policies that create the social, economic, and community factors resulting in residential segregation, lack of access to adequate healthcare, and lack of employment opportunities that would allow economic mobility. This results in overall poorer population health for minoritized people. In 2020, Black and Hispanic/Latinx communities throughout the United States, including the state of Illinois, experienced disproportionately high ra… Show more

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Cited by 121 publications
(29 citation statements)
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“…Although the daily volume of sentinel samples fluctuated substantially over the study period and the sentinel population was not demographically representative of Chicago’s population at-large, R(t) estimated from sentinel cases was in good agreement with R(t) estimated from hospital data in the general population. Since the COVID-19 pandemic did not affect various racial and ethnic groups to the same extent in Illinois [17], and the sentinel population was more Hispanic/Latino than the general population, the small divergence between sentinel R(t) and hospital-based R(t) could indicate true differences in transmission dynamics between the sentinel and general populations. However, the general agreement in sentinel R(t) and hospital admissions R(t) is impressive given the biased sampling frame of the sentinel cases.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although the daily volume of sentinel samples fluctuated substantially over the study period and the sentinel population was not demographically representative of Chicago’s population at-large, R(t) estimated from sentinel cases was in good agreement with R(t) estimated from hospital data in the general population. Since the COVID-19 pandemic did not affect various racial and ethnic groups to the same extent in Illinois [17], and the sentinel population was more Hispanic/Latino than the general population, the small divergence between sentinel R(t) and hospital-based R(t) could indicate true differences in transmission dynamics between the sentinel and general populations. However, the general agreement in sentinel R(t) and hospital admissions R(t) is impressive given the biased sampling frame of the sentinel cases.…”
Section: Discussionmentioning
confidence: 99%
“…Incident cases, the fraction of diagnostic tests that return a positive result (test positivity rate, TPR), or any other metric based on diagnostic testing in the general population is subject to bias due to fluctuating access to, availability of, and demand for diagnostic testing. These factors vary across time, geography, age, and racial and ethnic groups, and the data needed to control for these biases is often unavailable [1,[13][14][15][16][17]. The timeliness of data can also be hampered by long turn-around-times and delays in vendors' reporting of test results to health agencies [14].…”
Section: Introductionmentioning
confidence: 99%
“…Similar criteria were applied to any additional PubMed-retrieved studies. Furthermore, similar to previous work 17 , for studies done in the USA, only those that have adjusted the seroprevalence estimates for race/ethnicity were retained, since this factor is known to associate strongly with the risk of SARS-CoV-2 infection 18 .…”
Section: Methodsmentioning
confidence: 99%
“…Individuals who could pivot to remote work by utilizing broadband internet not only reduced their risk of COVID-19 exposure but also that of their household. Due to the effects of structural racism, such that more non-Hispanic Black individuals are essential workers, COVID-19 mortality was higher among non-Hispanic Black persons in comparison to non-Hispanic White persons ( 26 , 28 , 29 ).…”
Section: Digital Redlining and The Impact Of The Covid-19 Pandemicmentioning
confidence: 99%