Related Experiment Video

Updated: Sep 25, 2025

Rapid Molecular Detection and Differentiation of Influenza Viruses A and B
05:38

Rapid Molecular Detection and Differentiation of Influenza Viruses A and B

Published on: January 30, 2017

15.8K

Racial and Ethnic Differences of Influenza-Associated Pediatric Hospitalizations and Deaths, 2008-2017

Shelease C O'Bryant1,2, Deepa Dongarwar2, Hamisu M Salihu2

  • 1Section of Emergency Medicine, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.

Pediatric Allergy, Immunology, and Pulmonology
|April 29, 2022
PubMed

Insights

Minority children face higher hospitalization rates for influenza, but mortality risks are similar across racial groups. This highlights disparities in pediatric influenza care and outcomes.

Area of Science:

  • Pediatric Infectious Diseases
  • Health Disparities Research
  • Epidemiology

Background:

  • Influenza is a significant cause of acute respiratory illness in children, with complications leading to substantial morbidity and mortality.
  • Existing pediatric data on influenza disparities among racial and ethnic minorities is limited.
  • Understanding these disparities is crucial for targeted public health interventions.

Purpose of the Study:

  • To investigate racial and ethnic differences in hospitalizations and mortality among children diagnosed with influenza.
  • To identify potential disparities in the impact of influenza on diverse pediatric populations.

Main Methods:

  • Retrospective cohort study utilizing the National Inpatient Sample (NIS) database from 2008 to 2017.
  • Inclusion criteria: children aged 18 years and younger hospitalized with influenza or its subtypes.
  • Statistical analysis involved generating adjusted odds ratios (aORs) and 95% confidence intervals (CIs) to assess associations between race/ethnicity and outcomes.

Main Results:

  • A total of 226,535 influenza-associated hospitalizations were identified.
  • Compared to non-Hispanic White children, minority children exhibited higher odds of influenza hospitalization: Hispanics (aOR=1.25), non-Hispanic Blacks (aOR=1.21), and non-Hispanic Others (aOR=1.11).
  • No significant racial or ethnic differences were observed in influenza-related mortality.

Conclusions:

  • Minority children are more likely to be hospitalized for influenza, indicating disparities in healthcare access or management.
  • While hospitalization rates differ, influenza-related mortality did not show significant racial or ethnic disparities in this cohort.
  • Further research is essential to address and mitigate the identified racial and ethnic disparities in pediatric influenza outcomes.

Keywords:
influenzainfluenza-associated hospitalizationsmortalitypediatric hospitalizationsracial/ethnic differences

More Related Videos

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes08:52

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

8.3K
A Luciferase-fluorescent Reporter Influenza Virus for Live Imaging and Quantification of Viral Infection05:21

A Luciferase-fluorescent Reporter Influenza Virus for Live Imaging and Quantification of Viral Infection

Published on: August 14, 2019

25.4K

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
45.4K
Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
2.8K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
733
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
229
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
16.1K