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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "DSAIDE" in publications use:'
type: software
license: GPL-3.0-only
title: 'DSAIDE: Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution)'
version: 0.9.6
identifiers:
- type: doi
  value: 10.32614/CRAN.package.DSAIDE
- type: url
  value: https://github.com/ahgroup/DSAIDE/
abstract: Exploration of simulation models (apps) of various infectious disease transmission
  dynamics scenarios. The purpose of the package is to help individuals learn about
  infectious disease epidemiology (ecology/evolution) from a dynamical systems perspective.
  All apps include explanations of the underlying models and instructions on what
  to do with the models.
authors:
- family-names: Handel
  given-names: Andreas
  email: andreas.handel@gmail.com
  orcid: https://orcid.org/0000-0002-4622-1146
preferred-citation:
  type: article
  title: Learning infectious disease epidemiology in a modern framework
  authors:
  - family-names: Handel
    given-names: Andreas
    email: andreas.handel@gmail.com
    orcid: https://orcid.org/0000-0002-4622-1146
  journal: PLoS Computational Biology
  year: '2017'
  volume: '13'
  issue: '10'
  url: https://doi.org/10.1371/journal.pcbi.1005642
  publisher:
    name: Public Library of Science
  start: e1005642
repository: https://epiverse-connect.r-universe.dev
repository-code: https://github.com/ahgroup/DSAIDE
commit: 85b543814475dedcffd17ad49cea084a72ff5892
url: https://ahgroup.github.io/DSAIDE/
date-released: '2023-08-23'
contact:
- family-names: Handel
  given-names: Andreas
  email: andreas.handel@gmail.com
  orcid: https://orcid.org/0000-0002-4622-1146