Driver Project 7 - Data Descriptor, Reference Coding, and Characterization of the Systemic Complications of Critical Care Patients Included in the ISARIC COVID-19 Dataset
To reformat and clean up the ISARIC-COVID-19 dataset, which is one of the largest and richest datasets consisting of over 520,000 hospitalised patients from more than 62 countries, so it can be better utilised by researchers.
Luis Felipe Reyes at the Universidad de La Sabana in Colombia and colleagues aimed to develop a standardised strategy for researchers to better utilise the ISARIC-COVID-19 dataset, which consists of over 520,000 hospitalised patients from more than 62 countries, and identify the causes and health impacts of severe complications. The dataset is particularly valuable because it covers varying standards-of-care around the world and could be used to study the geographic and time-based variability of the disease.
The team developed a standardised strategy to reformat and clean the ISARIC-COVID-19 dataset by producing data descriptors and reference codes and use this strategy to identify the risk factors and clinical characteristics of COVID-19 complications, such as cardiovascular complications, which are a major contributor to long-term morbidity and mortality, in order that vulnerable patients can be better treated.
Driver Project 7
|ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
Nature Scientific Data
|July 2022||Publication||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…|
|GitHub codebase||Code||Processing codes for the ISARIC COVID-19 database are openly available online, and contributions from the research community to share these codes are encouraged. For this reason, a public code repository has been created along with this manuscript to develop and share code collectively|
|ISARIC Global COVID-19 dataset||Metadata||Clinical data from patients hospitalised with COVID19 globally shared as a part of the ISARIC Clinical Characterisation Group collaboration. In collaboration with The International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC), The Infectious Diseases Data Observatory (IDDO) has assembled the world’s largest global database on COVID-19 clinical data with detailed individual patient data on 657,312 hospitalised individuals from 1,297 institutions across 45 countries. The full dataset is available to all institutions contributing data via email@example.com. Individuals and institutions who have not contributed data to the dataset may apply for access via https://www.iddo.org/covid19/data-sharing/accessing-data under the following license https://www.iddo.org/document/covid-19-data-transfer-agreement|