Evidence map›Paper›PMID 42522605›Full record

ArticleEpidemiology and infection2026

Epidemiological characteristics of paediatric COVID-19 and influenza co-infections in the United States, 2020-2024.

Ozair H Naqvi, Aaron M Wendelboe, William H Beasley, Donna L Tyungu, Kai Ding, Katrin G Kuhn, James J Cheng, A Jared Anzalone, Amanda E Janitz, N3C Consortium

Erratum issuedAbstract read
In one paragraph

Article in Epidemiology and infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Ozair H NaqviDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.ORCID https://orcid.org/0000-0001-8235-167X
Aaron M WendelboeDepartment of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
William H BeasleyDepartment of Pediatrics, University of Oklahoma College of Medicine, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.
Donna L TyunguDepartment of Pediatrics, University of Oklahoma College of Medicine, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.
Kai DingDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.
Katrin G KuhnDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.
James J ChengDepartment of Pediatrics, University of Oklahoma College of Medicine, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.
A Jared AnzaloneDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Amanda E JanitzDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.
N3C Consortium

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Janis E Campbell · 2013 to 2026
$68.2M
NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

Evidence describing paediatric COVID-19 and influenza co-infection is limited because influenza circulation was minimal during the early COVID-19 pandemic. We used the National Clinical Cohort Collaborative, a multicentre electronic health record repository, to describe the characteristics and clinical outcomes of paediatric COVID-19 and influenza co-infections in the United States from March 2020-April 2024. We defined co-infection as COVID-19 and influenza identified <7 days apart. We reported demographics, pre-existing diagnoses, and clinical outcomes and used generalized estimating equation models. We defined clinical outcomes as Severe/Moderate disease (hospitalization, critical care, or death) versus emergency department/outpatient encounters. We repeated analyses using varying co-infection definitions to assess robustness of findings. Among 1.53 million patients, 10,277 were co-infected, and 647 (6%) were hospitalized. Co-infections occurred predominantly among children aged <12 years. The most common pre-existing diagnoses were obesity (24%), asthma (10%), and congenital/genetic conditions (5%). The risk for Severe/Moderate disease was greatest among persons aged 0-4 years (adjusted risk ratio (aRR) 3.05; 95% confidence interval (CI): 2.35-3.97) and those with ≥2 pre-existing diagnoses (aRR 2.89; 95% CI: 2.43-3.43). Similar distributions of disease severity were observed across varying co-infection definitions. This study provides a large-scale epidemiological characterization of paediatric COVID-19 and influenza co-infection and successfully implemented a practical EHR-based co-infection case definition for future analyses.

Indexed as

CoinfectionCOVID-19Influenza, HumanAdolescentChildChild, PreschoolFemaleHospitalizationHumansInfantInfant, NewbornMaleSARS-CoV-2United Statesco-infectionCOVID-19influenzapaediatrics

Identifiers

PMID42522605
PMCPMC13437991

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LicenceCC BY
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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.