The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available (...) from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use. (shrink)

Background: In response to the pandemic caused by COVID-19, World Health Organization (WHO), together with International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC), developed research protocols facilitating global collaboration and accelerating the understanding of the disease, to identify the potential symptoms and persistent sequelae in infected individuals, which can be used in different areas of health, that is, in primary care, at a hospital or outpatient level, both public and private. Objective: To describe the International Severe Acute Respiratory (...) and Emerging Infection Consortium (ISARIC) protocol as a new global collaborative platform for global clinical trials targeting post-COVID-19 patients. Methods: The standardized forms were developed from the COVID-19 Clinical Characterization Protocol (PCC) by the ISARIC/WHO working group composed of specialist researchers with experience in clinical research in different areas of medicine and public health, especially outbreaks and infectious diseases. Conclusion: It is expected that the creation of a database composed of different populations from all over the world will help in the characterization of risk factors, in the best form of clinical intervention and in the best prevention strategies for physical, neurological and psychosocial sequelae in the medium and long term in post-COVID-19 patients. (shrink)