COVID-19 Network of Networks Expanding Clinical and Translational Approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)

This study's objective was to understand which children are at highest risk for having severe consequences from SARS-CoV-2 infection. The study used clinical, epidemiologic, and sociodemographic data alongside specific biomarkers and created machine learning models designed to predict severe consequences. In order to accomplish this, a network of various networks and sites were established to examine subjects who have previously had infections or complications and subjects with active infections or complications, through both prospective enrollment and collection of data and biospecimens as well as through retrospective analyses of diverse datasets.