Luis Felipe Reyes at the Universidad de La Sabana in Colombia and colleagues will 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 will develop 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.
Publications
| Title | Journal | Date |
Driver Project | Abstract |
|---|---|---|---|---|
| ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
|
Nature Scientific Data |
July 2022 | DP-ISARIC | 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… |