Symptom-Based Predictive Model of COVID-19 Disease in Children.

Background: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (<16 years old), depending on their clinical symptoms.

Methods: Epidemiological and clinical data were obtained from the REDCap registry.

Schools as a Framework for COVID-19 Epidemiological Surveillance of Children in Catalonia, Spain: A Population-Based Study.

We describe and analyze the childhood (<18 years) COVID-19 incidence in Catalonia, Spain, during the first 36 weeks of the 2020-2021 school-year and to compare it with the incidence in adults. Data on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests were obtained from the Catalan Agency for Quality and Health Assessment. Overall, 7,203,663 SARS-CoV-2 tests were performed, of which 491,819 were positive (6.

Household Severe Acute Respiratory Syndrome Coronavirus 2 Transmission and Children: A Network Prospective Study.

Background: The role of children in household transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains unclear. We describe the epidemiological and clinical characteristics of children with coronavirus disease 2019 (COVID-19) in Catalonia, Spain, and investigate the household transmission dynamics.

Methods: A prospective, observational, multicenter study was performed during summer and school periods (1 July 2020-31 October 2020) to analyze epidemiological and clinical features and viral household transmission dynamics in COVID-19 patients aged <16 years.