Patient characteristics associated with clinically coded long COVID: an OpenSAFELY cohort study using linked electronic health records
This is the code and configuration for long-COVID-risk-factors.
You can run this project via Gitpod in a web browser by clicking on this badge:
- The paper is here
- The study protocol is here
- Raw model outputs, including charts, crosstabs, etc, are in
released_outputs/ - If you are interested in how we defined our variables, take a look at the study definitions for primary and pre-vaccination cohorts, post-vaccination cohort and post-COVID cohort; these are written in
python. - If you are interested in how we defined our code lists, look in the codelists folder.
- Developers and epidemiologists interested in the framework should review the OpenSAFELY documentation
The OpenSAFELY framework is a Trusted Research Environment (TRE) for electronic health records research in the NHS, with a focus on public accountability and research quality.
Read more at OpenSAFELY.org.
As standard, research projects have a MIT license.