Black-White Risk Differentials in Pediatric COVID-19 Hospitalization and Intensive Care Unit Admissions in the USA

Laurens Holmes1,2,3, Colin Wu4, Rakinya Hinson5,6

  • 1Office of Health Equity and Inclusion (OHEI), Nemours Children's Healthcare System, Wilmington, DE, USA. drlholmesjr@gmail.com.

Insights

COVID-19 disproportionately affected Black/African American children, who were twice as likely to be hospitalized and over five times as likely to require ICU admission compared to White children. These findings highlight critical racial disparities in pediatric COVID-19 outcomes.

Area of Science:

  • Epidemiology
  • Public Health
  • Pediatrics

Background:

  • The COVID-19 pandemic caused severe illness in children, with notable racial disparities in outcomes.
  • Understanding these disparities is crucial for addressing health inequities.

Purpose of the Study:

  • To assess racial differences in COVID-19 cumulative incidence, hospitalization, and intensive care unit (ICU) admission among children in the US.
  • To identify specific racial groups disproportionately affected by severe COVID-19 manifestations.

Main Methods:

  • A cross-sectional epidemiological study using 2020 pediatric COVID-19 data from the CDC.
  • Chi-square statistics and binomial regression models were employed to analyze racial differentials in hospitalization and ICU admissions.

Main Results:

  • Over 96,000 pediatric hospitalizations and 12,000 ICU admissions were recorded.
  • Black/African American children showed a 2.20 times higher likelihood of hospitalization and a 5.18 times higher likelihood of ICU admission compared to White children.
  • Asian children had a 1.45 times higher hospitalization risk and a 3.36 times higher ICU admission risk. American Indian/Alaska Native children also faced increased ICU admission risk (2.54 times).

Conclusions:

  • Significant racial disparities exist in pediatric COVID-19 hospitalization and ICU admission rates in the US.
  • Black/African American children are disproportionately impacted, underscoring the need for health equity interventions.
Abstract

Related Concept Videos

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...
12.3K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
377
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
1.5K
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:  
714
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
353
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
464