Coronavirus Disease Research Community - COVID-19
Published March 25, 2020 | Version v1
Software Open

Code for Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

Creators

  • 1. Big Data Institute, University of Oxford

Description

This code implements the COVID-19 mathematical analyses of Ferretti, Wymant et al. Science 2020. Namely, inference of the generation time interval for transmission pairs, solving the infectiousness model beta(tau) for specified input parameters, and solving for the effect of an intervention combining case isolation and quarantining of contacts.

Notes

Code in R language

Files

Files (57.9 kB)

Name Size Download all
md5:6d34c6b6ad0230e4cf4a554d17bc6976
2.1 kB Download
md5:b23e40e1f07635e7fcf52542dd0c5a7d
1.9 kB Download
md5:09b079f61bbe09b39d86abf618828499
13.1 kB Download
md5:65ed6a8296a0f44a8c00726386190cab
24.8 kB Download
md5:f882996961d72116a45298e531649623
15.9 kB Download

Additional details

Related works

Is cited by
Journal article: 10.1126/science.abb6936 (DOI)