Evidence map›Paper›PMID 34386613›Full record

ArticleHealth science reports2021

Health disparity and COVID-19-A retrospective analysis.

Sanjay Sarkar, Archie Taylor, Pratik Dutta, Meghna Bajaj, Justin Nash, Martha Ravola, Sofia Ievleva, Cardarius Llyod, Praise Ola, Brenita Jenkins and 2 more

Abstract read
In one paragraph

Article in Health science reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sanjay SarkarDepartment of Genetics University of North Carolina - Chapel Hill Chapel Hill North Carolina USA.
Archie TaylorSchool of Nursing Alcorn State University Lorman Mississippi USA.
Pratik DuttaIndian Institute of Technology - Patna Patna India.
Meghna BajajDepartment of Chemistry and Physics Alcorn State University Lorman Mississippi USA.
Justin NashDepartment of Biology Alcorn State University Lorman Mississippi USA.
Martha RavolaDepartment of Human Science Alcorn State University Lorman Mississippi USA.
Sofia IevlevaDepartment of Biology Alcorn State University Lorman Mississippi USA.
Cardarius LlyodDepartment of Biology Alcorn State University Lorman Mississippi USA.
Praise OlaDepartment of Biology Alcorn State University Lorman Mississippi USA.
Brenita JenkinsDepartment of Biology Alcorn State University Lorman Mississippi USA.
Bidisha SenguptaDepartment of Chemistry and Biochemistry Stephen F Austin State University Nacogdoches Texas USA.
Debarshi RoyDepartment of Biology Alcorn State University Lorman Mississippi USA.ORCID https://orcid.org/0000-0002-4473-1986

Funding

Training and Mentoring Core P20GM103476 · NIGMS · UNIVERSITY OF SOUTHERN MISSISSIPPI · PI MICHAEL R GARRETT · 2012 to 2026
$60.2M
NIGMS NIH HHS P20 GM103476
6 · The paper itself

Abstract

BACKGROUND AND

aimsAccording to the World Health Organization (WHO), more than 75.7 million confirmed cases of coronavirus disease 2019 (COVID-19), a global pandemic caused by severe acute respiratory syndrome coronavirus 2

methodsWe analyzed various factors that triggered the health disparity in the United States of America along with the rate of COVID-19 morbidity and mortality. Furthermore, we have also focused on the State of Mississippi, which is suffering from an extreme health disparity. Data have been obtained from publicly available data sources including, Center for Disease Control and Prevention and Mississippi State Department of Health. Correlation analysis of the dataset has been performed using R software.

resultsOur analysis suggested that the COVID-19 infection rate per 100 000 people is directly correlated with the increasing number of the African American population in the United States. We have found a strong correlation between the obesity and the COVID-19 cases as well. All the counties in Mississippi demonstrate a strong correlation between a higher number of African American population to COVID-19 cases and obesity. Our data also indicate that a higher number of African American populations are facing socioeconomic disadvantages, which enhance their chances of becoming vulnerable to pre-existing ailments such as obesity, type-2 diabetes, and cardiovascular diseases.

conclusionWe proposed a possible explanation of increased COVID-19 infectivity in the African American population in the United States. This work has highlighted the intriguing factors that increased the health disparity at the time of the COVID-19 pandemic.

Indexed as

COVID‐19disparityMississippiobesitySARS‐CoV2

Identifiers

PMID34386613
PMCPMC8340930

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.