| Literature DB >> 35564460 |
Jason A Douglas1, Georgiana Bostean2, Angel Miles Nash3, Emmanuel B John4, Lawrence M Brown5, Andrew M Subica6.
Abstract
U.S. non-citizen residents are burdened by inequitable access to socioeconomic resources, potentially placing them at heightened risk of COVID-19-related disparities. However, COVID-19 impacts on non-citizens are not well understood. Accordingly, the current study investigated COVID-19 mortality disparities within New York (NYC) and Los Angeles (LAC) to test our hypothesis that areas with large proportions of non-citizens will have disproportionately high COVID-19 mortality rates. We examined ecological associations between March 2020-January 2021 COVID-19 mortality rates (per 100,000 residents) and percent non-citizens (using ZIP Code Tabulation Areas (ZCTA) for NYC and City/Community units of analysis for LAC) while controlling for sociodemographic factors. Multiple linear regression analyses revealed significant positive associations between the percentage of non-citizen residents and COVID-19 mortality rates in NYC (95% CI 0.309, 5.181) and LAC (95% CI 0.498, 8.720). Despite NYC and LAC policies intended to provide sanctuary and improve healthcare access for non-citizen residents, communities with larger proportions of non-citizens appear to endure higher COVID-19 mortality rates. The challenges that non-citizens endure-e.g., inequitable access to public benefits-may discourage help-seeking behaviors. Thus, improved health surveillance, public health messaging, and sanctuary policies will be essential for reducing COVID-19 mortality disparities in communities with large shares of non-citizens.Entities:
Keywords: Black and Latinx; COVID-19; health disparities; non-citizens; social determinants of health; systemic racism
Mesh:
Year: 2022 PMID: 35564460 PMCID: PMC9102427 DOI: 10.3390/ijerph19095066
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1New York City ZIP Code Tabulation Area COVID-19 Mortality Rates.
Figure 2Los Angeles City/Community COVID-19 Mortality Rates.
NYC ZCTA-level and LAC Community-Level Descriptive Statistics.
| NYC | LAC | |||
|---|---|---|---|---|
| Mean | 95% CI | Mean | 95% CI | |
| COVID-19 mortality per 100 K | 233.95 | 216.26, 251.63 | 124.49 | 106.61, 142.36 |
| Percent Black & Latinx | 45.82 | 41.29, 50.36 | 52.81 | 47.73, 57.90 |
| Population density per square mile | 45,174.65 | 40,462.63, 49,886.68 | 13,391.15 | 11,822.11, 14,960.20 |
| Percent female | 52.16 | 51.78, 52.54 | 50.95 | 50.54, 51.35 |
| Percent over 55 years of age | 24.27 | 23.37, 25.17 | 24.94 | 23.82, 26.06 |
| Average household size | 2.64 | 2.56, 2.71 | 2.82 | 2.72, 2.92 |
| Median household income | 73,674.02 | 68,254.57, 79,034.47 | 71,896.58 | 65,996.95, 77,796.22 |
| Percent naturalized residents | 19.95 | 18.70, 21.21 | 17.37 | 16.39, 18.34 |
| Percent non-citizen residents | 15.35 | 14.30, 16.41 | 17.55 | 15.97, 19.14 |
Regression of predictor variables on NYC and LAC COVID-19 mortality rates.
| NYC | LAC | |||||||
|---|---|---|---|---|---|---|---|---|
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| β |
| (95% CI) |
| β |
| (95% CI) | |
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| Percent Black & Latinx |
| 1.522 | (0.851, 2.193) | −0.068 | −0.240 | (−1.513, 1.033) | ||
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| Population density |
| −0.001 | (−0.001, −0.000) | 0.089 | 0.001 | (−0.002, 0.004) | ||
| Percent female | 0.078 | 3.609 | (−2.566, 9.784) | 0.064 | 2.810 | (−4.279, 9.899) | ||
| Percent over 55 years of age |
| 6.901 | (3.892, 9.910) |
| 6.198 | (2.041, 10.355) | ||
| Household size | −0.019 | −4.488 | (−43.421, 34.445) | 0.155 | 27.580 | (−17.255, 72.415) | ||
| Median household income |
| −0.001 | (−0.001, −0.000) | −0.294 | −0.001 | (−0.002, 0.000) | ||
| Percent naturalized citizens | 0.096 | 1.354 | (−0.907, 3.615) | 0.032 | 0.592 | (−3.163, 4.347) | ||
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| Percent non-citizens |
| 2.745 | (0.309, 5.181) |
| 4.609 | (0.498, 8.720) | ||
Boldface indicates statistical significance (* p < 0.05 ** p < 0.01 *** p < 0.001). Adjusted R2 and final model β (standardized coefficients) and B (unstandardized coefficients) reported. Confidence intervals were calculated for B (unstandardized coefficients).