This is the code and configuration for a study HIV infection and COVID-19 death: a population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform.
- The paper is publish in the December issue of Lancet HIV and is available here
- Raw model outputs, including charts, crosstabs, etc, are in
released_analysis_results/ - If you are interested in how we defined our variables, take a look at the study definition; this is written in
python, but non-programmers should be able to understand what is going on there - If you are interested in how we defined our code lists, look in the codelists folder.A new tool called OpenCodelists was developed to allow codelists to be versioned and all of the codelists hosted online at codelists.opensafely.org for open inspection and re-use by anyone.
- Developers and epidemiologists interested in the code should review the OpenSAFELY documentation
The OpenSAFELY framework is a new secure analytics platform for electronic health records research in the NHS.
Instead of requesting access for slices of patient data and transporting them elsewhere for analysis, the framework supports developing analytics against dummy data, and then running against the real data within the same infrastructure that the data is stored. Read more at OpenSAFELY.org.
The framework is under fast, active development to support rapid analytics relating to COVID19; we're currently seeking funding to make it easier for outside collaborators to work with our system. You can read our current roadmap here.