Evidence map›Paper›PMID 32699858›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Identification of Vulnerable Populations and Areas at Higher Risk of COVID-19 Related Mortality in the U.S.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 19 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Esteban Correa-AgudeloDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, Ohio, USA.
Tesfaye B MershaDivision of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, USA.
Andrés HernándezDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, Ohio, USA.
Adam J BranscumDepartment of Biostatistics, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA.
Neil J MacKinnonGeospatial Health Advising Group, University of Cincinnati, Cincinnati, Ohio, USA.
Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, Ohio, USA.
University of Cincinnati · 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
NHLBI NIH HHS R01 HL132344NIEHS NIH HHS P30 ES006096
6 · The paper itself

Abstract

Background: The role of health-related disparities including sociodemographic, environmental, and critical care capacity in the COVID-19 pandemic are poorly understood. In the present study, we characterized vulnerable populations located in areas at higher risk of COVID-19 related mortality and low critical healthcare capacity in the U.S. Methods: Using Bayesian multilevel analysis and small area disease risk mapping, we assessed the spatial variation of COVID-19 related mortality risk for the U.S. in relation with healthcare disparities including race, ethnicity, poverty, air quality, and critical healthcare capacity. Results: Overall, highly populated, regional air hub areas, and minorities had an increased risk of COVID-19 related mortality. We found that with an increase of only 1 ug/m3 in long term PM2.5 exposure, the COVID-19 mortality rate increased by 13%. Counties with major air hubs had 18% increase in COVID-19 related death compared to counties with no airport connectivity. Sixty-eight percent of the counties with high COVID-19 related mortality risk were also counties with lower critical care capacity than national average. These counties were primary located at the North- and South-Eastern regions of the country. Conclusion: The existing disparity in health and environmental risk factors that exacerbate the COVID-19 related mortality, along with the regional healthcare capacity, determine the vulnerability of populations to COVID-19 related mortality. The results from this study can be used to guide the development of strategies for the identification and targeting preventive strategies in vulnerable populations with a higher proportion of minority groups living in areas with poor air quality and low healthcare capacity.

Indexed as

air pollutioncomorbidityCOVID-19ethnicityhealthcare capacityhealth disparities

Identifiers

PMID32699858
PMCPMC7373146
OpenAlexW3041989772

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.