software . 2020

ImperialCollegeLondon/covid19model: Age groups that sustain resurging COVID-19 epidemics in the United States

Swapnil Mishra; Fabian Valka; Christopher Cave-Ayland; Harrison Zhu; Måns Magnusson; bgoodri; Juliette Unwin; Seth Flaxman; Alexandre Payot; hrkulkarMsft; ...
Open Source
  • Published: 30 Sep 2020
  • Publisher: Zenodo
Abstract
Version 9 Release <p>This is the release related to <a href="https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-32-us/">report 32</a> and <a href="https://www.medrxiv.org/content/10.1101/2020.09.18.20197376v1">medRxiv paper</a>, 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.</p> <p>To run this code you need to follow the steps listed in the age-specific model <a href="https://github.com/ImperialCollegeLondon/covid19model/tree/master/covid19AgeModel">here</a>.</p> <p>The code should be run in full mode t...
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Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Zenodo
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