Evidence map›Paper›PMID 33946561›Full record

ArticleInternational journal of environmental research and public health2021

COVID-19 Medical Vulnerability Indicators: A Predictive, Local Data Model for Equity in Public Health Decision Making.

Paul M Ong, Chhandara Pech, Nataly Rios Gutierrez, Vickie M Mays

Abstract 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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Optimizing the Selection of Mass Vaccination Sites: Access and Equity Consideration.International journal of environmental research and public health · 2024
    Article
  9. Article
  10. Article
  11. Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. Fair and diverse allocation of scarce resources.Socio-economic planning sciences · 2022
    Article
  14. Research on Health Disparities Related to the COVID-19 Pandemic: A Bibliometric Analysis.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Paul M OngDepartment of Urban Planning, UCLA Center for Neighborhood Knowledge, UCLA Luskin School of Public Policy, Los Angeles, CA 90095, USA.ORCID 0000-0002-4358-6297
Chhandara PechDepartment of Urban Planning, UCLA Center for Neighborhood Knowledge, UCLA Luskin School of Public Policy, Los Angeles, CA 90095, USA.
Nataly Rios GutierrezDepartment of Urban Planning, UCLA Center for Neighborhood Knowledge, UCLA Luskin School of Public Policy, Los Angeles, CA 90095, USA.
Vickie M MaysDepartments of Psychology and Health Policy & Management, UCLA Fielding School of Public Health, Los Angeles, CA 90095, USA.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
Research Training/Education CoreP60MD006923 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHOPTAW, STEVEN J · 2012 to 2016
$6.1M
National Institute of Minority Health and Health Disparities MD0006923NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

This article reports the outcome of a project to develop and assess a predictive model of vulnerability indicators for COVID-19 infection in Los Angeles County. Multiple data sources were used to construct four indicators for zip code tabulation areas: (1) pre-existing health condition, (2) barriers to accessing health care, (3) built environment risk, and (4) the CDC's social vulnerability. The assessment of the indicators finds that the most vulnerable neighborhoods are characterized by significant clustering of racial minorities. An overwhelming 73% of Blacks reside in the neighborhoods with the two highest levels of pre-existing health conditions. For the barriers to accessing health care indicator, 40% of Latinx reside in the highest vulnerability places. The built environment indicator finds that selected Asian ethnic groups (63%), Latinx (55%), and Blacks (53%) reside in the neighborhoods designated as high or the highest vulnerability. The social vulnerability indicator finds 42% of Blacks and Latinx and 38% of selected Asian ethnic group residing in neighborhoods of high vulnerability. The vulnerability indicators can be adopted nationally to respond to COVID-19. The metrics can be utilized in data-driven decision making of re-openings or resource distribution such as testing, vaccine distribution and other pandemic-related resources to ensure equity for the most vulnerable.

Indexed as

COVID-19Decision MakingHumansPandemicsPublic HealthSARS-CoV-2AsiansBlackbuilt environmentCambodianCOVID-19health disparitieshmongLaotiansLatinxsocial vulnerability index

Identifiers

PMID33946561
PMCPMC8124803

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.