scholarly journals Race, ethnicity, poverty and the social determinants of the coronavirus divide: U.S. county-level disparities and risk factors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Laura J. Samuel ◽  
Darrell J. Gaskin ◽  
Antonio, J. Trujillo ◽  
Sarah L. Szanton ◽  
Andrew Samuel ◽  
...  
Keyword(s):  
High School ◽  
Native American ◽  
Population Health ◽  
Limited English Proficiency ◽  
Negative Binomial ◽  
English Proficiency ◽  
Housing Cost ◽  
County Level ◽  
High School Diploma ◽  
Incidence And Mortality

Abstract Background Communities with more Black or Hispanic residents have higher coronavirus rates than communities with more White residents, but relevant community characteristics are underexplored. The purpose of this study was to investigate poverty-, race- and ethnic-based disparities and associated economic, housing, transit, population health and health care characteristics. Methods Six-month cumulative coronavirus incidence and mortality were examined using adjusted negative binomial models among all U.S. counties (n = 3142). County-level independent variables included percentages in poverty and within racial/ethnic groups (Black, Hispanic, Native American, Asian), and rates of unemployment, lacking a high school diploma, housing cost burden, single parent households, limited English proficiency, diabetes, obesity, smoking, uninsured, preventable hospitalizations, primary care physicians, hospitals, ICU beds and households that were crowded, in multi-unit buildings or without a vehicle. Results Counties with higher percentages of Black (IRR = 1.03, 95% CI: 1.02–1.03) or Hispanic (IRR = 1.02, 95% CI: 1.01–1.03) residents had more coronavirus cases. Counties with higher percentages of Black (IRR = 1.02, 95% CI: 1.02–1.03) or Native American (IRR = 1.02, 95% CI: 1.01–1.04) residents had more deaths. Higher rates of lacking a high school diploma was associated with higher counts of cases (IRR = 1.03, 95% CI: 1.01–1.05) and deaths (IRR = 1.04, 95% CI: 1.01–1.07). Higher percentages of multi-unit households were associated with higher (IRR = 1.02, 95% CI: 1.01–1.04) and unemployment with lower (IRR = 0.96, 95% CI: 0.94–0.98) incidence. Higher percentages of individuals with limited English proficiency (IRR = 1.09, 95% CI: 1.04–1.14) and households without a vehicle (IRR = 1.04, 95% CI: 1.01–1.07) were associated with more deaths. Conclusions These results document differential pandemic impact in counties with more residents who are Black, Hispanic or Native American, highlighting the roles of residential racial segregation and other forms of discrimination. Factors including economic opportunities, occupational risk, public transit and housing conditions should be addressed in pandemic-related public health strategies to mitigate disparities across counties for the current pandemic and future population health events.

scholarly journals Temporal trends in the association of social vulnerability and race/ethnicity with county-level COVID-19 incidence and outcomes in the USA: an ecological analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e048086
Author(s):  
Shabatun J Islam ◽  
Aditi Nayak ◽  
Yingtian Hu ◽  
Anurag Mehta ◽  
Katherine Dieppa ◽  
...  
Keyword(s):  
Social Vulnerability ◽  
Negative Binomial ◽  
Temporal Trends ◽  
Ethnic Composition ◽  
Racial Composition ◽  
Third Wave ◽  
County Level ◽  
Incidence And Mortality ◽  
The Usa ◽  
Per Capita

BackgroundThe COVID-19 pandemic adversely affected the socially vulnerable and minority communities in the USA initially, but the temporal trends during the year-long pandemic remain unknown.ObjectiveWe examined the temporal association of county-level Social Vulnerability Index (SVI), a percentile-based measure of social vulnerability to disasters, its subcomponents and race/ethnic composition with COVID-19 incidence and mortality in the USA in the year starting in March 2020.MethodsCounties (n=3091) with ≥50 COVID-19 cases by 6 March 2021 were included in the study. Associations between SVI (and its subcomponents) and county-level racial composition with incidence and death per capita were assessed by fitting a negative-binomial mixed-effects model. This model was also used to examine potential time-varying associations between weekly number of cases/deaths and SVI or racial composition. Data were adjusted for percentage of population aged ≥65 years, state-level testing rate, comorbidities using the average Hierarchical Condition Category score, and environmental factors including average fine particulate matter of diameter ≥2.5 μm, temperature and precipitation.ResultsHigher SVI, indicative of greater social vulnerability, was independently associated with higher COVID-19 incidence (adjusted incidence rate ratio per 10 percentile increase: 1.02, 95% CI 1.02 to 1.03, p<0.001) and death per capita (1.04, 95% CI 1.04 to 1.05, p<0.001). SVI became an independent predictor of incidence starting from March 2020, but this association became weak or insignificant by the winter, a period that coincided with a sharp increase in infection rates and mortality, and when counties with higher proportion of white residents were disproportionately represented (‘third wave’). By spring of 2021, SVI was again a predictor of COVID-19 outcomes. Counties with greater proportion of black residents also observed similar temporal trends in COVID-19-related adverse outcomes. Counties with greater proportion of Hispanic residents had worse outcomes throughout the duration of the analysis.ConclusionExcept for the winter ‘third wave’, when majority of the white communities had the highest incidence of cases, counties with greater social vulnerability and proportionately higher minority populations experienced worse COVID-19 outcomes.

scholarly journals County-level exposures to greenness and associations with COVID-19 incidence and mortality in the United States

2020 ◽  
Author(s):  
Jochem O Klompmaker ◽  
Jaime E Hart ◽  
Isabel Holland ◽  
M Benjamin Sabath ◽  
Xiao Wu ◽  
...  
Keyword(s):  
United States ◽  
Population Density ◽  
Vegetation Index ◽  
Negative Binomial ◽  
The United States ◽  
Systems Science ◽  
County Level ◽  
Incidence And Mortality ◽  
The Us ◽  
At Home

AbstractBackgroundCOVID-19 is an infectious disease that has killed more than 246,000 people in the US. During a time of social distancing measures and increasing social isolation, green spaces may be a crucial factor to maintain a physically and socially active lifestyle while not increasing risk of infection.ObjectivesWe evaluated whether greenness is related to COVID-19 incidence and mortality in the United States.MethodsWe downloaded data on COVID-19 cases and deaths for each US county up through June 7, 2020, from Johns Hopkins University, Center for Systems Science and Engineering Coronavirus Resource Center. We used April-May 2020 Normalized Difference Vegetation Index (NDVI) data, to represent the greenness exposure during the initial COVID-19 outbreak in the US. We fitted negative binomial mixed models to evaluate associations of NDVI with COVID-19 incidence and mortality, adjusting for potential confounders such as county-level demographics, epidemic stage, and other environmental factors. We evaluated whether the associations were modified by population density, proportion of Black residents, median home value, and issuance of stay-at-home order.ResultsAn increase of 0.1 in NDVI was associated with a 6% (95% Confidence Interval: 3%, 10%) decrease in COVID-19 incidence rate after adjustment for potential confounders. Associations with COVID-19 incidence were stronger in counties with high population density and in counties with stay-at-home orders. Greenness was not associated with COVID-19 mortality in all counties; however, it was protective in counties with higher population density.DiscussionExposures to NDVI had beneficial impacts on county-level incidence of COVID-19 in the US and may have reduced county-level COVID-19 mortality rates, especially in densely populated counties.

Serving Children With Limited English Proficiency in the Schools

1994 ◽  
Vol 25 (3) ◽  
pp. 156-164 ◽  
Author(s):  
Celeste A. Roseberry-McKibbin ◽  
Glenn E. Eicholtz
Keyword(s):  
Limited English Proficiency ◽  
English Proficiency

Assessment and Intervention for Children With Limited English Proficiency and Language Disorders

1994 ◽  
Vol 3 (3) ◽  
pp. 77-88 ◽  
Author(s):  
Celeste Roseberry-McKibbin
Keyword(s):  
Public Schools ◽  
Limited English Proficiency ◽  
English Proficiency ◽  
Language Disorders ◽  
Speech Language Pathologists ◽  
Academic Difficulties ◽  
Language Differences ◽  
Language Impaired ◽  
Number Of Children ◽  
Assessment And Treatment

The number of children with limited English proficiency (LEP) in U.S. public schools is growing dramatically. Speech-language pathologists increasingly receive referrals from classroom teachers for children with limited English proficiency who are struggling in school. The speech-language pathologists are frequently asked to determine if the children have language disorders that may be causing or contributing to their academic difficulties. Most speech-language pathologists are monolingual English speakers who have had little or no coursework or training related to the needs of LEP children. This article discusses practical, clinically applicable ideas for assessment and treatment of LEP children who are language impaired, and gives suggestions for distinguishing language differences from language disorders in children with limited English proficiency.

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