Evidence map›Paper›PMID 40663351›Full record

Observational studyJAMA network open2025

Pediatric COVID-19 Hospitalization Trends by Race and Ethnicity, 2020-2023.

Onika Anglin, Kadam Patel, Pam Daily Kirley, Darpun Sachdev, Nisha B Alden, Isaac Armistead, Kimberly Yousey-Hindes, James Meek, Lucy S Witt, Kyle P Openo and 21 more

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

31 authors.

Onika AnglinNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Kadam PatelNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Pam Daily KirleyCalifornia Emerging Infections Program, Oakland.
Darpun SachdevCalifornia Department of Public Health, Richmond.
Nisha B AldenColorado Department of Public Health & Environment, Denver.
Isaac ArmisteadColorado Department of Public Health & Environment, Denver.
Kimberly Yousey-HindesConnecticut Emerging Infections Program, Yale School of Public Health, New Haven.
James MeekConnecticut Emerging Infections Program, Yale School of Public Health, New Haven.
Lucy S WittDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.
Kyle P OpenoDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.
Maya L MonroeMaryland Department of Health, Baltimore.
Sue KimMichigan Department of Health and Human Services, Lansing.
Elizabeth UrlaubMichigan Department of Health and Human Services, Lansing.
Kathryn Como-SabettiMinnesota Department of Health, St Paul.
Paige D'HeillyMinnesota Department of Health, St Paul.
Susan L RoppNew Mexico Department of Health, Santa Fe.
Nancy EisenbergUniversity of New Mexico Emerging Infections Program, Albuquerque.
Jemma V RowlandsNew York State Department of Health, Albany.
Grant BarneyNew York State Department of Health, Albany.
Sophrena BusheyUniversity of Rochester School of Medicine and Dentistry, Rochester, New York.
Katherine St GeorgeUniversity of Rochester School of Medicine and Dentistry, Rochester, New York.
Melissa SuttonPublic Health Division, Oregon Health Authority, Portland.
Nasreen AbdullahPublic Health Division, Oregon Health Authority, Portland.
William SchaffnerVanderbilt University Medical Center, Nashville, Tennessee.
H Keipp TalbotVanderbilt University Medical Center, Nashville, Tennessee.
Ryan ChatelainSalt Lake County Health Department, Salt Lake City, Utah.
Andrea PriceSalt Lake County Health Department, Salt Lake City, Utah.
Hope KingNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Christopher A TaylorNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Monica E PattonNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Fiona P HaversNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

CDC HHS NU38OT000297Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Importance: Examining racial and ethnic disparities in pediatric COVID-19 hospitalizations is critical to inform public health efforts to reduce those disparities. Objective: To characterize trends in pediatric COVID-19 hospitalizations by race and ethnicity from March 2020 to September 2023, focusing on recent epidemiologic findings (October 2022 to September 2023). Design, Setting, and Participants: This cross-sectional study used data from the COVID-19 Hospitalization Surveillance Network (COVID-NET) including 13 555 hospitalizations among patients aged 17 years or younger with a laboratory-confirmed SARS-CoV-2 infection who are residents of the COVID-NET catchment area in 12 states, covering approximately 10% of the US population. Exposure: Laboratory-confirmed SARS-CoV-2 infection within 14 days prior to or during hospitalization. Main Outcomes and Measures: Pediatric COVID-19-associated hospitalization rates by race and ethnicity and characteristics associated with COVID-19-associated hospitalizations. Results: Between March 2020 and September 2023, COVID-NET identified 13 555 pediatric hospitalizations (median patient age, 3.3 years [IQR, 0.6-12.5 years]; 7110 boys [52.5%]; 780 non-Hispanic Asian or Pacific Islander children [5.8%], 3837 non-Hispanic Black children [28.3%], 4131 Hispanic children [30.5%], and 4807 non-Hispanic White children [35.5%]). Hospitalization rates were 2.15 (95% CI, 2.01-2.34) times higher for Black children and 2.06 (95% CI, 1.91-2.23) times higher for Hispanic children compared with Asian or Pacific Islander children, who had the lowest rates. Despite overall decreased pediatric hospitalization rates between October 2022 and September 2023, higher rates of intensive care unit admissions among Black and Hispanic children persisted, at 1.88 (95% CI, 1.28-2.74) times higher for Black children and 2.13 (95% CI, 1.47-3.10) times higher for Hispanic children compared with Asian or Pacific Islander children. Among hospitalized children, 61.4% (95% CI, 57.0%-65.8%) of Black patients and 45.5% (95% CI, 41.9%-49.3%) of Hispanic patients had 1 or more underlying medical condition compared with 45.6% (95% CI, 42.1%-49.1%) of White children and 45.0% (95% CI, 41.9%-49.3%) of Asian or Pacific Islander children. Obesity (17.8%; 95% CI, 15.3%-20.5%) and neurologic disorders (15.2%; 95% CI, 13.7%-16.8%) were the most common conditions overall; 11.9% (95% CI, 9.1%-15.1%) of Black children had sickle cell disease, the fourth most common condition in this group. Conclusions and Relevance: This study found that among pediatric patients hospitalized with COVID-19, Black and Hispanic children were disproportionately more likely to be hospitalized for COVID-19 and experience severe disease compared with White and Asian or Pacific Islander children. A higher proportion of hospitalized Black children had underlying medical conditions. This study underlines the need for targeted interventions, particularly for children with underlying medical conditions, and the need for equitable access and use of vaccines and therapeutics for disproportionately affected populations.

Indexed as

COVID-19EthnicityHospitalizationRacial GroupsAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleSARS-CoV-2United States

Identifiers

PMID40663351
PMCPMC12842959

What OpenQuestion holds

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Registered trials

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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.