Back to search

Article

Exploring clinical characteristics of COVID-19 in children and adolescents using a machine-learning approach

2024-12-06

Abstract excerpt

<h4>Introduction</h4> The epidemiology and clinical characteristics of COVID-19 evolved due to new SARS-CoV-2 variants of concern (VOCs). The Omicron VOC’s higher transmissibility increased pediatric COVID-19 cases and hospital admissions. Most research during the Omicron period has focused on hospitalized cases, leaving a gap in understanding the disease’s evolution in community settings. This study targets child...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3a274be8-8382-5076-b29d-e452fa0698f9
DOI
10.1101/2024.12.04.24318465
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Exploring clinical characteristics of COVID-19 in children and adolescents using a machine-learning approachDOI 10.1101/2024.12.04.24318465
Select a neighboring publication to make it the new centre.