Title: ImperialCollegeLondon/covid19model: IFR Code Release

Type Software Swapnil Mishra, Fabian Valka, Christopher Cave-Ayland, hbz, Måns Magnusson, bgoodri, Juliette Unwin, Seth Flaxman, Alexandre Payot, hrkulkarMsft (2020): ImperialCollegeLondon/covid19model: IFR Code Release. Zenodo. Software. https://zenodo.org/record/3927595

Authors: Swapnil Mishra (Imperial College London, @ MRC Centre for Global Infectious Disease Analysis) ; Fabian Valka ; Christopher Cave-Ayland (Imperial College) ; hbz (Imperial College London) ; Måns Magnusson (Linköpings Universitet) ; bgoodri ; Juliette Unwin (Imperial College, London) ; Seth Flaxman ; Alexandre Payot (University of Bristol) ; hrkulkarMsft ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Version 8 Release

The code for running models remains unchanged in the release. We provide scripts to calculate ifr for European countries and USA states. We hope the release of ifr computation code will enable the researchers to adapt the ifr calculations as per their requirements. The two files to run are compute-ifr-europe.r and compute-ifr-usa.r.

The code for ifr calculation for a new country will need changes if you have different age-specific bands. The code provided is not a universal code that will work for each country, the intention is to help researchers to modify the code easily for their setup.

The code for ifr needs an additional package named socialmixr, which is not specified in the environment file as it doesn't exist with conda. You will need to download it via CRAN.

More information

• DOI: 10.5281/zenodo.3927595

Dates

• Publication date: 2020
• Issued: July 02, 2020

Rights

• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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