Pediatric COVID-19 Data Challenge: Methods to distinguish children at risk for severe COVID-19 complications, including conditions such as MIS-C, are needed for earlier interventions to improve pediatric outcomes. Multiple HHS divisions, including NICHD, are working together on this data challenge to leverage de-identified electronic health records to study COVID-19 in children. This challenge encourages researchers to develop, train, and validate computational models that can predict severe COVID-19 complications so that healthcare providers have the information and tools they need to identify at-risk pediatric patients.
Safe Return to School For All summarizes current evidence and best practices to help administrators, educators, and families and students—including students with disabilities—return to school safely in the context of COVID-19. The information provided is based on collaborative research from the NICHD-funded Washington University Intellectual and Developmental Disabilities Research Center, the University of Missouri-Kansas City Institute of Human Development, and the Kennedy Krieger Institute (Maryland), in collaboration with the Special School District of St. Louis County, Missouri.