--- Package under development ---
Hammami Pachka1,2,3,, Oodally Ajmal1,2,3,, Reilhac Astrid4, Guérineau de Lamérie Guillaume4, Widgren Stefan 5, Temime Laura3,6,¤ and Opatowski Lulla1,2,¤
1 Anti-infective evasion and pharmacoepidemiology team, Université Paris-Saclay, UVSQ, Inserm, CESP, Montigny-Le-Bretonneux, France
2 Epidemiology and Modelling of Antibiotic Evasion (EMAE), Institut Pasteur, Paris, France
3 Laboratoire de Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire national des arts et métiers, Paris, France
4 Département d'information médicale, Centre hospitalier Guillaume Régnier, Rennes, France
5 Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden
6 PACRI unit, Institut Pasteur, Conservatoire national des arts et métiers, Paris, France 7MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, United Kingdom
*These authors contributed equally
¤These authors contributed equally
Corresponding author: Hammami Pachka (pachka@hotmail.fr)
The package can be install using 'devtools' library:
library(devtools)
install_github("MESuRS-Lab/mwss")
The companion RShiny application providing user-friendly interface to run simulations can be loaded directly from the GitHub repository (https://github.com/MESuRS-Lab/mwss-App) using 'shiny' library:
library(shiny) # use version >= 1.7.1
runGitHub("MESuRS-Lab/mwss-App")
This repository contains the source code for the "mwss" package developed using R-programming language. This package allows the user to run multi-ward stochastic simulations to simulate virus transmission in the hospital setting.
mwss
├── R
├── data
├── man
├── DESCRIPTION
├── NAMESPACE
├── mwss.Rproj
R This folder contains all the package functions
Data This folder contains the toydataset to run the examples documented for each exported function.
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