Skip to content

opensafely/population-outcomes-burden-research

Repository files navigation

Changes in the rate of cardiometabolic and pulmonary events during the COVID-19 pandemic

This is the code and configuration for our paper, "Changes in the rate of cardiometabolic and pulmonary events during the COVID-19 pandemic".

  • The paper has been submitted to medRxiv, and will appear here soon.
  • Raw model outputs, including charts, crosstabs, etc, are in released_output
  • If you are interested in how we defined our variables, take a look at the study definitions in analysis; 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.

About the OpenSAFELY framework

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.