Evidence map›Paper›PMID 36211696›Full record

ArticleFrontiers in public health2022

Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths.

Jinghua An, Shelley Hoover, Sreenivas Konda, Sage J Kim

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. 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. Inequality in COVID-19 mortality in Quebec associated with neighbourhood-level vulnerability domains.Canadian journal of public health = Revue canadienne de sante publique · 2024
    Article
  2. Article
  3. Article
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

4 authors.

Jinghua AnDepartment of Biobehavioral Nursing Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, United States.
Shelley HooverSchool of Public Health, University of Illinois at Chicago, Chicago, IL, United States.
Sreenivas KondaDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, United States.
Sage J KimDivision of Health Policy and Administration, School of Public Health, University of Illinois at Chicago, Chicago, IL, United States.

Funding

The influence of structural violence and individual behavior and health on the gut microbiome and colorectal cancer riskU54MD012523 · NIMHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WINN, ROBERT A. · 2017 to 2022
$7.9M
Reducing racial disparities in lung cancer outcomes by decoding neighborhood contextual environment (RECODE)R01MD014839 · NIMHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KIM, SAGE J., WINN, ROBERT A. · 2021 to 2025
$3.2M
NIMHD NIH HHS R01 MD014839NIMHD NIH HHS U54 MD012523
6 · The paper itself

Abstract

Objectives: To explore the effectiveness of a COVID-19 specific social vulnerability index, we examined the relative importance of four COVID-19 specific themes and three general themes of the COVID-19 Community Vulnerability Index (CCVI) in explaining COVID-19 mortality rates in Cook County, Illinois. Methods: We counted COVID-19 death records from the Cook County Medical Examiner's Office, geocoded incident addresses by census tracts, and appended census tracts' CCVI scores. Negative binomial regression and Random Forest were used to examine the relative importance of CCVI themes in explaining COVID-19 mortality rates. Results: COVID-19 specific Themes 6 (High risk environments) and 4 (Epidemiological factors) were the most important in explaining COVID-19 mortality (incidence rate ratio (IRR) = 6.80 and 6.44, respectively), followed by a general Theme 2 (Minority status & language, IRR = 3.26). Conclusion: The addition of disaster-specific indicators may improve the accuracy of social vulnerability indices. However, variance for Theme 6 was entirely from the long-term care resident indicator, as the other two indicators were constant at the census tract level. Thus, CCVI should be further refined to improve its effectiveness in identifying vulnerable communities. Also, building a more robust local data infrastructure is critical to understanding the vulnerabilities of local places.

Indexed as

COVID-19HumansIncidenceMinority Groupscommunity vulnerabilityCOVID-19 mortalitynegative binomial regressionrandom forestsocial vulnerability index

Identifiers

PMID36211696
PMCPMC9539452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.