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      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

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          Abstract

          Background

          The 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.

          Objective

          We 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.

          Methods

          Counties (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.

          Results

          Higher 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.

          Conclusion

          Except 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.

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          Most cited references26

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          Structural racism and health inequities in the USA: evidence and interventions

          The Lancet, 389(10077), 1453-1463
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            COVID-19 and African Americans

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              A Social Vulnerability Index for Disaster Management

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2021
                22 July 2021
                22 July 2021
                : 11
                : 7
                : e048086
                Affiliations
                [1 ]departmentDepartment of Medicine, Division of Cardiology , Emory University School of Medicine , Atlanta, Georgia, USA
                [2 ]departmentDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health , Emory University , Atlanta, Georgia, USA
                [3 ]departmentCity Operations , Getaround Incorporated , San Francisco, California, USA
                [4 ]departmentDepartment of Epidemiology, Rollins School of Public Health , Emory University , Atlanta, Georgia, USA
                Author notes
                [Correspondence to ] Dr Arshed A Quyyumi; aquyyum@ 123456emory.edu
                Author information
                http://orcid.org/0000-0002-0886-9021
                Article
                bmjopen-2020-048086
                10.1136/bmjopen-2020-048086
                8300549
                34301657
                01baa31d-ec74-4aae-be42-9aaff6af8064
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 18 December 2020
                : 24 June 2021
                Funding
                Funded by: Abraham J. & Phyllis Katz Foundation;
                Funded by: http://dx.doi.org/10.13039/100000098, NIH Clinical Center;
                Award ID: T32 HL007745-26A1
                Award ID: T32 HL130025
                Funded by: Byron Williams Jr, MD Fellowship Fund;
                Categories
                Epidemiology
                1506
                2474
                1692
                Original research
                Custom metadata
                unlocked

                Medicine
                covid-19,public health,epidemiology,social medicine
                Medicine
                covid-19, public health, epidemiology, social medicine

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