Title:	A 'Shiny' App to Simulate the Dynamics of Epidemic and Endemic Diseases Spread
Version:	1.1
Maintainer:	Nassim AYAD <nassim.ayad.ph@gmail.com>
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) <doi:10.1007/978-3-540-78911-6_2>. Thanks to 'shiny' package.
Depends:	R (≥ 4.1.1), shiny (≥ 1.10.0), deSolve (≥ 1.40), openxlsx (≥ 4.2.8)
Imports:	dplyr, DT, shinythemes
License:	GPL (≥ 3)
Encoding:	UTF-8
RoxygenNote:	7.3.2
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
VignetteBuilder:	knitr
Config/testthat/edition:	3
NeedsCompilation:	no
Packaged:	2025-02-23 22:38:58 UTC; maison
Author:	Nassim AYAD [aut, cre] (affiliation: Laboratory of Modeling and Biostatistics, Pasteur Institute of Algeria)
Repository:	CRAN
Date/Publication:	2025-02-25 17:10:02 UTC

Launch the shiny app of the package EpiSimR

Description

Launch the shiny app of the package EpiSimR

Usage

run_app()

Value

No return value, called for side effects. This function launches a Shiny application.

Examples

if (interactive()) {
  library(EpiSimR)
  run_app()
}