Purpose The primary aim of this work was to convert the Information System for Research in
Primary Care (SIDIAP) from Catalonia, Spain, to the Observational Medical Outcomes …

Background Few datasets have been established that capture the full breadth of COVID-19
patient interactions with a health system. Our first objective was to create a COVID-19 …

Objectives The aim of this work is to demonstrate the use of a standardized health
informatics framework to generate reliable and reproducible real-world evidence from Latin …

The natural history of coronavirus disease 2019 (COVID-19) has yet to be fully described.
Here, we use patient-level data from the Information System for Research in Primary Care …

Background The natural history of Coronavirus Disease 2019 (COVID-19) has yet to be fully
described, with most previous reports focusing on hospitalised patients. Using linked patient …

Objective To create case definitions for confirmed COVID-19 diagnoses, COVID-19
vaccination status and three separate definitions of high risk of severe COVID-19, as well as …

Background The current COVID-19 pandemic has led to a surge of research activity. While
this research provides important insights, the multitude of studies results in an increasing …

Background In response to the Covid-19 pandemic, we designed and initiated a nationwide
linked multi-register, regularly updated, observational study for timely response to urgent …

Objective The coronavirus disease 2019 (COVID-19) pandemic has demonstrated the value
of real-world data for public health research. International federated analyses are crucial for …

Introduction unCoVer—Unravelling data for rapid evidence-based response to COVID-19—
is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and …