COVID-19 in Children

While most children with COVID-19 are asymptomatic or have mild symptoms, it is still difficult to determine which children will progress to moderate or severe COVID-19 early in the progression.

Some of these children develop Multisystem Inflammatory Syndrome in Children, MIS-C, a severe inflammation of organs and tissues.

Methods to distinguish children at risk for severe COVID-19 complications, including conditions such as MIS-C are needed to enable development of early interventions to improve pediatric patient outcomes.

Challenge Details

  • Data Challenge

    Challenge participants will be asked to develop, train, and validate computational models to predict pediatric patients at risk for hospitalization, need for ventilation, and cardiovascular interventions, utilizing deindetified electronic health record data available through NCATS' National COVID Cohort Collaborative (N3C) Data Enclave.

    Hospital
  • Hospital

    Data Challenge Prize

    Total cash prize purse is $200,000 from BARDA, split among up to three winners.

    Winners may also be eligible to apply for follow on funding support and in-kind services from BARDA for further technology development and clinical evaluation.

ABOUT NCATS N3C

NCATS National COVID Cohort Collaborative (N3C):

N3C aims to improve the efficiency and accessibility of analyses with COVID-19 clinical data, expand ability to analyze, and understand COVID, and demonstrate a novel approach for collaborative pandemic data sharing

N3C Data Enclave is a central, harmonized data repository that represents electronic health records from over 55 health centers across the U.S.