Evidence map›Paper›PMID 40248413›Full record

ArticleAIMS public health2025

Lessons learned for preventing health disparities in future pandemics: the role of social vulnerabilities among children diagnosed with severe COVID-19 early in the pandemic.

Kelly Graff, Ye Ji Choi, Lori Silveira, Christiana Smith, Lisa Abuogi, Lisa Ross DeCamp, Jane Jarjour, Chloe Friedman, Meredith A Ware, Jill L Kaar

Abstract read
In one paragraph

Article in AIMS public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

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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

10 authors.

Kelly GraffDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
Ye Ji ChoiUniversity of Colorado School of Public Health, Aurora, CO, USA.
Lori SilveiraDepartment of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA.
Christiana SmithDepartment of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA.
Lisa AbuogiDepartment of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA.
Lisa Ross DeCampDepartment of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA.
Jane JarjourDepartment of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Chloe FriedmanUniversity of Colorado School of Public Health, Aurora, CO, USA.
Meredith A WareDepartment of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Jill L KaarDepartment of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hispanic ethnicity is associated with an increased risk for severe disease in children with COVID-19. Identifying underlying contributors to this disparity can lead to improved health care utilization and prevention strategies. Methods: This is a retrospective cohort study of children 2-20 years of age with positive SARS-CoV-2 testing from March-October 2020. Univariable and multivariable logistic regression models were fitted to identify demographic, comorbid health conditions, and social vulnerabilities as predictors of severe COVID-19 (need for hospital admission or respiratory support). Results: We included 1572 children with COVID-19, of whom 45% identified as Hispanic. Compared to non-Hispanic children, patients who identified as Hispanic were more often obese (28% vs. 14%, p < 0.0001), preferred a non-English language (31% vs. 3%, p < 0.0001), and had Medicaid or no insurance (79% vs. 33%, p < 0.0001). In univariable analyses, children who identified as Hispanic were more likely to require hospital admission (OR 2.4, CI: 1.57-3.80) and respiratory support (OR 2.4, CI: 1.38-4.14). In multivariable analyses, hospital admission was associated with obesity (OR 1.9, CI: 1.15-3.08), non-English language (OR 2.4, CI: 1.35-4.23), and Medicaid insurance (OR 2.0, CI: 1.10-3.71), but ethnicity was not a significant predictor of severe disease. Conclusions and Relevance: The high rates of severe COVID-19 observed in Hispanic children early in the pandemic appeared to be secondary to underlying co-morbidities and social vulnerabilities that may have influenced access to care, such as language and insurance status. Pediatric providers and public health officials should tailor resource allocation to better target this underserved patient population.

Indexed as

childrenCOVID-19ethnic disparitieshealth disparitiesobesitysocial determinants or healthsocial vulnerability

Identifiers

PMID40248413
PMCPMC11999811

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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.