Related Experiment Video

Updated: Dec 12, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.7K

Racial and/or Ethnic and Socioeconomic Disparities of SARS-CoV-2 Infection Among Children

Monika K Goyal1,2, Joelle N Simpson3,2, Meleah D Boyle3

  • 1Children's National Hospital, Washington, District of Columbia; and mgoyal@childrensnational.org.

Pediatrics
|August 8, 2020
PubMed

Insights

Minority and low-income children experienced higher rates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Addressing these disparities is crucial for controlling the pandemic

Area of Science:

  • Pediatric infectious diseases
  • Public health
  • Epidemiology

Background:

  • Racial/ethnic and socioeconomic disparities in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates among children are not well understood.
  • Understanding these differences is critical for developing targeted interventions and mitigating health inequities.

Purpose of the Study:

  • To evaluate racial/ethnic and socioeconomic disparities in SARS-CoV-2 infection rates among children.
  • To assess the association between race/ethnicity, socioeconomic status, and SARS-CoV-2 infection and exposure in pediatric populations.

Main Methods:

  • A cross-sectional study was conducted involving 1000 children tested for SARS-CoV-2 at a dedicated pediatric testing site.
  • Bivariable and multivariable logistic regression analyses were used to examine the relationship between patient demographics (race/ethnicity, estimated median family income) and SARS-CoV-2 infection and exposure.

Main Results:

  • Overall, 20.7% of children tested positive for SARS-CoV-2.
  • Minority children (Hispanic and non-Hispanic Black) exhibited significantly higher infection rates compared to non-Hispanic white children.
  • Children from lower socioeconomic quartiles (income) demonstrated increased rates of SARS-CoV-2 infection and reported exposure.

Conclusions:

  • Racial/ethnic minority and socioeconomically disadvantaged children bear a disproportionately high burden of SARS-CoV-2 infection.
  • Investigating the underlying causes of these disparities is essential for effective public health strategies and reducing infection spread.
Abstract

More Related Videos

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.5K
Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-208:41

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

3.2K

Related Concept Videos

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,...
17.7K
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:  
1.1K
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
5.9K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.1K
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.3K
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.3K