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      Social Determinants and Indicators of COVID-19 Among Marginalized Communities: A Scientific Review and Call to Action for Pandemic Response and Recovery

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          Abstract

          Coronavirus disease 2019 (COVID-19) has placed massive socio-psychological, health, and economic burdens including deaths on countless lives; however, it has disproportionally impacted certain populations. Co-occurring Social Determinants of Health (SDoH) disparities and other underlying determinants have exacerbated the COVID-19 pandemic. This literature review sought to (1) examine literature focused on SDoH and COVID-19 outcomes ie, infectivity, hospitalization, and death rates among marginalized communities; and (2) identify SDoH disparities associated with COVID-19 outcomes. We searched electronic databases for studies published from October 2019 to October 2021. Studies that were selected were those intersecting SDoH indicators and COVID-19 outcomes and were conducted in the United States. Our review underscored the disproportionate vulnerabilities and adverse outcomes from COVID-19 that have impacted racial/ethnic minority communities and other disadvantaged groups (ie, senior citizens, and displaced/homeless individuals). COVID-19 outcomes were associated with SDoH indicators, ie, race/ethnicity, poverty, median income level, housing density, housing insecurity, health-care access, occupation, transportation/commuting patterns, education, air quality, food insecurity, old age, etc. Our review concluded with recommendations and a call to action to integrate SDoH indicators along with relevant health data when implementing intelligent solutions and intervention strategies to pandemic response/recovery among vulnerable populations.

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          COVID-19 and Racial/Ethnic Disparities

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            COVID-19 and African Americans

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              Is Open Access

              Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis

              Currently, the number of patients with coronavirus disease 2019 (COVID-19) has increased rapidly, but relationship between comorbidity and patients with COVID-19 still not clear. The aim was to explore whether the presence of common comorbidities increases COVID-19 patients’ risk. A literature search was performed using the electronic platforms (PubMed, Cochrane Library, Embase, and other databases) to obtain relevant research studies published up to March 1, 2020. Relevant data of research endpoints in each study were extracted and merged. All data analysis was performed using Stata12.0 software. A total of 1558 patients with COVID-19 in 6 studies were enrolled in our meta-analysis eventually. Hypertension (OR: 2.29, P<0.001), diabetes (OR: 2.47, P<0.001), chronic obstructive pulmonary disease (COPD) (OR: 5.97, P<0.001), cardiovascular disease (OR: 2.93, P<0.001), and cerebrovascular disease (OR:3.89, P=0.002)were independent risk factors associated with COVID-19 patients. The meta-analysis revealed no correlation between increased risk of COVID-19 and liver disease, malignancy, or renal disease. Hypertension, diabetes, COPD, cardiovascular disease, and cerebrovascular disease are major risk factors for patients with COVID-19. Knowledge of these risk factors can be a resource for clinicians in the early appropriate medical management of patients with COVID-19.
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                Author and article information

                Journal
                Disaster Med Public Health Prep
                Disaster Med Public Health Prep
                DMP
                Disaster Medicine and Public Health Preparedness
                Cambridge University Press (New York, USA )
                1935-7893
                1938-744X
                02 May 2022
                02 May 2022
                : 1-10
                Affiliations
                [ 1 ] The University of Tennessee Health Science Center (UTHSC) - Oak Ridge National Laboratory (ORNL) Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis, TN, USA
                [ 2 ]The Bredesen Center for Data Science and Engineering, University of Tennessee , Knoxville, TN, USA
                Author notes
                Corresponding author: Olufunto A. Olusanya, Email: oolusan1@ 123456uthsc.edu .
                Author information
                https://orcid.org/0000-0001-6983-2882
                Article
                S1935789322001045
                10.1017/dmp.2022.104
                9237492
                35492024
                273e063a-6dc8-41fb-a694-20e970751aac
                © The Author(s) 2022

                This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means subject to acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                : 17 August 2021
                : 14 March 2022
                : 28 March 2022
                Page count
                Figures: 1, Tables: 3, References: 53, Pages: 10
                Categories
                Concepts in Disaster Medicine

                covid-19,sars-cov-2,social determinants of health,health disparities,ethnic minorities,pandemic preparedness,health intelligence

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