Title: ImperialCollegeLondon/covid19model: Age groups that sustain resurging COVID-19 epidemics in the United States (peer-reviewed)

Type Software Melodie Monod, Alexandra Blenkinsop, Xiaoyue Xi, Juliette Unwin, Swapnil Mishra, Oliver Ratman (2021): ImperialCollegeLondon/covid19model: Age groups that sustain resurging COVID-19 epidemics in the United States (peer-reviewed). Zenodo. Software. https://zenodo.org/record/4461896

Authors: Melodie Monod (Imperial College London) ; Alexandra Blenkinsop (Imperial College London) ; Xiaoyue Xi (Imperial College London) ; Juliette Unwin (Imperial College, London) ; Swapnil Mishra (Imperial College London, @ MRC Centre for Global Infectious Disease Analysis) ; Oliver Ratman (Imperial College London) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Version 11 Release

This is the release related to our Science Paper, where we use age-specific mobility data to estimate the epidemic in the USA by accounting for age-specific heterogeneity. All other code is still the same for previous releases.

To run this code you need to follow the steps listed in the age-specific model here.

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, and IFR code are the same as earlier (Look at version 3, version 4, version 5, version 6, version 7, and version 8). This release is specific to Science 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.4461896

Dates

• Publication date: 2021
• Issued: January 25, 2021

Rights

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

Format

electronic resource

Relateditems