Emily R. Pfaff

TL;DR: The N3C has demonstrated that a multisite collaborative learning health network can overcome barriers to rapidly build a scalable infrastructure incorporating multiorganizational clinical data for COVID-19 analytics.

TL;DR: In this article, the authors identified 303 articles published before April 29, 2021, curated 59 relevant manuscripts that described clinical manifestations in 81 cohorts three weeks or more following acute COVID-19, and mapped 287 unique clinical findings to HPO terms.

TL;DR: In this article, the authors investigate the definitions used in the literature published to date and compare them against data available from electronic health records and patient-reported information collected via surveys, and conclude that Long COVID holds the potential to produce a second public health crisis on the heels of the pandemic itself.

TL;DR: Several demographic and comorbidity variables and many initial vital sign and laboratory test values were associated with higher peak illness severity and could assist with early identification of children at risk for severe disease due to SARS-CoV-2 infection.

TL;DR: In this article , the authors developed XGBoost machine learning models to identify potential patients with long co-virus infection, which is characterized by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous definition.