Title: ImperialCollegeLondon/covid19model: State-level tracking of COVID-19 in the United States [peer-reviewed]

Type Software Swapnil Mishra, Fabian Valka, Christopher Cave-Ayland, Harrison Zhu, Måns Magnusson, Juliette Unwin, bgoodri, Melodie Monod, Seth Flaxman, Alexandre Payot, hrkulkarMsft (2020): ImperialCollegeLondon/covid19model: State-level tracking of COVID-19 in the United States [peer-reviewed]. Zenodo. Software. https://zenodo.org/record/4073091

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

Links

• Item record in Zenodo
• Digital object URL

Summary

Version 10 Release

This is the release related to our usa-paper (soon to be out) and medRxiv paper, where we use mobility data to estimate the situation in all states of the USA. All other code is still the same.

To run this code you can directly run the base-usa.r file or from the command line after setting the current directory as the repository directory run the following command Rscript base-usa-cases.r

The code should be run in full mode to obtain credible results. Not running a full run to estimate anything is not recommended and discouraged. Only a full run should be used to get results.

The instructions for European, Italy, Brazil, USA, Nature, IFR, USA age-specific code are the same as earlier (Look at version 3, version 4, version 5, version 6, version 7, version 8, and version 9). This release is specific to [ usa-paper (soon to be out) and medRxiv paper.

This release has been checked on macOS Catalina version 10.15.6/7 and Ubuntu version 18.04.2.

More information

• DOI: 10.5281/zenodo.4073091

Dates

• Publication date: 2020
• Issued: October 08, 2020

Rights

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

Format

electronic resource

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