<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>A 'Shiny' App to Simulate the Dynamics of Epidemic and Endemic
Diseases Spread</dc:title>
  <dc:title>R package EpiSimR version 1.1</dc:title>
  <dc:description>The 'EpiSimR' package provides an interactive 'shiny' app based on deterministic compartmental 
    mathematical modeling for simulating and visualizing the dynamics of epidemic and endemic disease spread. 
    It allows users to explore various intervention strategies, including vaccination and isolation, 
    by adjusting key epidemiological parameters. The methodology follows the approach described by 
    Brauer (2008) &lt;doi:10.1007/978-3-540-78911-6_2&gt;. Thanks to 'shiny' package.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.1), shiny (&gt;= 1.10.0), deSolve (&gt;= 1.40), openxlsx
(&gt;= 4.2.8)</dc:relation>
  <dc:relation>Imports: dplyr, DT, shinythemes</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Nassim AYAD &lt;nassim.ayad.ph@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Nassim AYAD [aut, cre] (ORCID: &lt;https://orcid.org/0000-0002-1809-0935&gt;,
    affiliation: Laboratory of Modeling and Biostatistics, Pasteur
    Institute of Algeria)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-02-25</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=EpiSimR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.EpiSimR</dc:identifier>
</oai_dc:dc>
