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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 "covid19.analytics" in publications use:'
type: software
title: 'covid19.analytics: Load and Analyze Live Data from the COVID-19 Pandemic'
version: 2.1.3
doi: 10.21105/joss.02995
identifiers:
- type: doi
  value: 10.32614/CRAN.package.covid19.analytics
abstract: Load and analyze updated time series worldwide data of reported cases for
  the Novel Coronavirus Disease (COVID-19) from different sources, including the Johns
  Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository
  <https://github.com/CSSEGISandData/COVID-19>, "Our World in Data" <https://github.com/owid/>
  among several others. The datasets reporting the COVID-19 cases are available in
  two main modalities, as a time series sequences and aggregated data for the last
  day with greater spatial resolution. Several analysis, visualization and modelling
  functions are available in the package that will allow the user to compute and visualize
  total number of cases, total number of changes and growth rate globally or for an
  specific geographical location, while at the same time generating models using these
  trends; generate interactive visualizations and generate Susceptible-Infected-Recovered
  (SIR) model for the disease spread.
authors:
- family-names: Ponce
  given-names: Marcelo
  email: m.ponce@utoronto.ca
preferred-citation:
  type: article
  title: 'covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from
    the Coronavirus Disease Pandemic'
  authors:
  - family-names: Ponce
    given-names: Marcelo
    email: m.ponce@utoronto.ca
  - family-names: Sandhel
    given-names: Amit
  journal: Journal of Open Source Software
  year: '2021'
  volume: '6'
  issue: '59'
  doi: 10.21105/joss.02995
repository: https://epiverse-connect.r-universe.dev
repository-code: https://github.com/mponce0/covid19.analytics
commit: ef3236c77073d103c1177053eee028560362bd31
url: https://mponce0.github.io/covid19.analytics/
date-released: '2022-08-18'
contact:
- family-names: Ponce
  given-names: Marcelo
  email: m.ponce@utoronto.ca