Data Use and Access Policy has been developed within the community and with the involvement of several experts. The current version can be found here.
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:
- month of diagnosis
- classification of the present clinical phases
- presence of administered vasopressor agents
- performed invasive ventilation
- superinfections (proven/suspected/probable as one category)
- remaining symptoms in the recovery phase
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. You can use the code as a starting point which can be downloaded on the right site. Installation instructions for the Jupyter Notebook interface can be found here: jupyter.readthedocs.io/en/latest/install/notebook-classic.html.
The Jupyter notebook contains descriptive analysis on age, sex, patient’s health status, vasopressor support, invasive ventilation, symptoms and superinfections etc.
If you are only interested in looking into the data, you can use the link below to find an HTML version of the Jupyter notebook which will be updated regularly.