Skip to content

While vaccines remain the best strategy to prevent COVID-19, mAbs could potentially benefit certain vulnerable populations before or after exposure to SARS-CoV-2, such as the unvaccinated or recently vaccinated high-risk patients.

License

Notifications You must be signed in to change notification settings

opensafely/antibody-and-antiviral-deployment

Repository files navigation

Antibody-and-antiviral-deployment

This is the code and configuration for an OpenSAFELY analysis of antibody and antiviral deployment via NHS COVID-19 Medicine Delivery Units. An accompanying pre-print Trends, regional variation and clinical characteristics of recipients of antivirals and neutralising monoclonal antibodies for non-hospitalised COVID-19: a descriptive cohort study of 23.4 million people in OpenSAFELY is available on MedRxiv.

  • The protocol is available on the Open Science Framework.
  • Raw analysis outputs, including charts, crosstabs, etc, are published here.
  • 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.
  • Developers and epidemiologists interested in the framework should review the OpenSAFELY documentation

About the OpenSAFELY framework

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.

Licences

As standard, research projects have a MIT license.

About

While vaccines remain the best strategy to prevent COVID-19, mAbs could potentially benefit certain vulnerable populations before or after exposure to SARS-CoV-2, such as the unvaccinated or recently vaccinated high-risk patients.

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published