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

Type Software Ferretti, Luca, Wymant, Chris, Fraser, Christophe (2020): Code for Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Zenodo. Software. https://zenodo.org/record/3727255

Authors: Ferretti, Luca (Big Data Institute, University of Oxford) ; Wymant, Chris (Big Data Institute, University of Oxford) ; Fraser, Christophe (Big Data Institute, University of Oxford) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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.

More information

• DOI: 10.5281/zenodo.3727255
• Language: en

Subjects

• COVID-19, SARS-CoV-2, transmission, intervention, isolation, contact tracing, infectious disease, mathematical model

Dates

• Publication date: 2020
• Issued: March 25, 2020

Notes

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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