EpiSimR: A 'Shiny' App to Simulate the Dynamics of Epidemic and Endemic Diseases Spread

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.

Version:	1.1
Depends:	R (≥ 4.1.1), shiny (≥ 1.10.0), deSolve (≥ 1.40), openxlsx (≥ 4.2.8)
Imports:	dplyr, DT, shinythemes
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-02-25
DOI:	10.32614/CRAN.package.EpiSimR
Author:	Nassim AYAD [aut, cre] (Laboratory of Modeling and Biostatistics, Pasteur Institute of Algeria)
Maintainer:	Nassim AYAD <nassim.ayad.ph at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README
CRAN checks:	EpiSimR results

Documentation:

Reference manual:	EpiSimR.pdf
Vignettes:	Introduction to 'EpiSimR' (source, R code)

Downloads:

Package source:	EpiSimR_1.1.tar.gz
Windows binaries:	r-devel: EpiSimR_1.1.zip, r-release: EpiSimR_1.1.zip, r-oldrel: EpiSimR_1.1.zip
macOS binaries:	r-devel (arm64): EpiSimR_1.1.tgz, r-release (arm64): EpiSimR_1.1.tgz, r-oldrel (arm64): EpiSimR_1.1.tgz, r-devel (x86_64): EpiSimR_1.1.tgz, r-release (x86_64): EpiSimR_1.1.tgz, r-oldrel (x86_64): EpiSimR_1.1.tgz

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