This is the code and configuration for our vaccine reports, summarised as "Paper 1" here and on MedRxiv here.
- This analysis drives our vaccine coverage reports, including:
- It runs on the TPP backend only and reflects the JCVI priority groups to a limited extent.
- Our paper, running on both EMIS and TPP backends and utilising the official JCVI specification, is based on this repo.
- You may also be interested in our work on vaccines being recorded as declined (preprint / repo).
You can sign up for the OpenSAFELY email newsletter here for updates about the COVID-19 vaccine reports and other OpenSAFELY projects.
- 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. - We have made .csv files available here in the
machine readable outputsfolder with the data behind the tables and charts for inspection, further analysis and re-use by anyone as long as OpenSAFELY.org is credited and/or linked to.
- If you are interested in how we defined our code lists, look in the codelists folder. All codelists are available online at OpenCodelists for inspection and re-use by anyone
-
- Jupyter notebooks prepared to generate tables and graphs are in
/notebooks. If notebooks do not load you can paste the link in https://nbviewer.jupyter.org/ Please note these contain dummy data. Seereleased outputsfolder for outputs.
- Jupyter notebooks prepared to generate tables and graphs are in
- Developers and epidemiologists interested in the framework should review the OpenSAFELY documentation
The OpenSAFELY framework is a 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.