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Title: Compositional Epidemiology of COVID-19

Type Software Nathan Allen (2020): Compositional Epidemiology of COVID-19. Zenodo. Software. https://zenodo.org/record/3785720

Author: Nathan Allen (University of Auckland) ;

Links

Summary

This repository contains the models and data used for our work on modelling COVID-19 in a compositional manner.

This work combined existing work on SEIR modelling for COVID-19 with controller models which captured government interventions. This allows for the evaluation of complex control strategies in closed loop with epidemiological models.

More information

  • DOI: 10.5281/zenodo.3785720

Dates

  • Publication date: 2020
  • Issued: May 05, 2020

Rights

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

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/PRETgroup/ccpe-covid19/tree/v1.0.0
IsVersionOfhttps://doi.org/10.5281/zenodo.3785719
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo