Data Use and Access Policy was developed within the community and with the involvement of several experts.
After implementing a data cleaning and data anonymization process we started publishing the public data set of the LEOSS cohort study.
LEOSS public data set
The LEOSS public data set constitutes patient data from the LEOSS cohort after a data cleaning process, e.g. verifications for complete documentation of the course of disease and plausibility checks. Variables included are:
- age
- gender
- month of diagnosis
- classification of the present clinical phases
- outcome
- presence of administered vasopressor agents
- performed invasive ventilation
- superinfections (proven/suspected/probable as one category)
- remaining symptoms in the recovery phase
🚨 Please be aware that this is only a part of the complete LEOSS dataset (due to anonymization).
The public data set is anonymized using our data protection concept and DOI: 10.1038/s41597-020–00773‑y. Several parameters refer to clinical phases. Values where the respective phase was not present have been defined as Not applicable (N/a)
Metadata for contextual knowledge of the LEOSS data can be retrieved from the MDM (Medical Data-Models)-Portal.
LEOSS public data analysis
We had created a Jupyter Notebook to provide an easy-to-run way for anybody interested in conducting their own analysis. At the time, you could use the code as a starting point which could be downloaded on this page. (Installation instructions for the Jupyter Notebook interface can be found here: jupyter.readthedocs.io/en/latest/install/notebook-classic.html.)
The Jupyter notebook contained descriptive analysis on age, sex, patient’s health status, vasopressor support, invasive ventilation, symptoms and superinfections etc.