Evidence map›Paper›PMID 33921217›Full record

ArticleInternational journal of environmental research and public health2021

Identification of Vulnerable Populations and Areas at Higher Risk of COVID-19-Related Mortality during the Early Stage of the Epidemic in the United States.

Esteban Correa-Agudelo, Tesfaye B Mersha, Adam J Branscum, Neil J MacKinnon, Diego F Cuadros

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.5field-weighted citation impact, top 5% of its field
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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Social-Economic Backgrounds to US County-Based COVID-19 Deaths: PLS-SEM Analysis.Journal of racial and ethnic health disparities · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Esteban Correa-AgudeloDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45220, USA.ORCID 0000-0003-2910-7015
Tesfaye B MershaDivision of Asthma Research, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45220, USA.
Adam J BranscumDepartment of Biostatistics, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA.
Neil J MacKinnonGeospatial Health Advising Group, University of Cincinnati, Cincinnati, OH 45220, USA.ORCID 0000-0001-8111-6651
Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45220, USA.
University of Cincinnati · USAugusta University · USCincinnati Children's Hospital Medical Center · USOregon State University · US

Funding

REPRODUCTIVE AND DEVELOPMENTAL TOXICOLOGY RESEARCHP30ES006096 · NIEHS · UNIVERSITY OF CINCINNATI · PI YADAV, JAGJIT S · 1992 to 2022
$35.4M
Unraveling ancestry and environmental exposure interactions in childhood asthmaR01HL132344 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MERSHA, TESFAYE B. · 2016 to 2020
$3.4M
NIEHS NIH HHS P30 ES006096NIH National Heart, Lung, and Blood Institute R01HL132344
6 · The paper itself

Abstract

We characterized vulnerable populations located in areas at higher risk of COVID-19-related mortality and low critical healthcare capacity during the early stage of the epidemic in the United States. We analyze data obtained from a Johns Hopkins University COVID-19 database to assess the county-level spatial variation of COVID-19-related mortality risk during the early stage of the epidemic in relation to health determinants and health infrastructure. Overall, we identified highly populated and polluted areas, regional air hub areas, race minorities (non-white population), and Hispanic or Latino population with an increased risk of COVID-19-related death during the first phase of the epidemic. The 10 highest COVID-19 mortality risk areas in highly populated counties had on average a lower proportion of white population (48.0%) and higher proportions of black population (18.7%) and other races (33.3%) compared to the national averages of 83.0%, 9.1%, and 7.9%, respectively. The Hispanic and Latino population proportion was higher in these 10 counties (29.3%, compared to the national average of 9.3%). Counties with major air hubs had a 31% increase in mortality risk compared to counties with no airport connectivity. Sixty-eight percent of the counties with high COVID-19-related mortality risk also had lower critical care capacity than the national average. The disparity in health and environmental risk factors might have exacerbated the COVID-19-related mortality risk in vulnerable groups during the early stage of the epidemic.

Indexed as

COVID-19EpidemicsBlack or African AmericanHealth Status DisparitiesHumansSARS-CoV-2United StatesVulnerable Populationsair pollutioncomorbidityCOVID-19ethnicityhealthcare capacityhealth disparitiesmultilevel modelsneighborhood

Identifiers

PMID33921217
PMCPMC8070560
OpenAlexW3155254382

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.