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EpiEstim App can be used to estimate disease transmissibility during an infectious disease outbreak from incidence time series and information about the serial interval.
Our online software interface for running EpiEstim App immediately and entirely online is now here! https://shiny.dide.imperial.ac.uk/epiestim/
It is also possible to download R and launch the application manually - this is very easy to do and can be completed in a few easy steps, which we describe here.
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Download
R
from http://cran.us.r-project.org -
In
R
, installdevtools
using the commandinstall.packages("devtools")
. -
In
R
, install the app using the commanddevtools::install_github("jstockwin/EpiEstimApp", force = TRUE)
. -
In
R
, run EpiEstim App using the commandEpiEstimApp::runEpiEstimApp()
. The app should then open in a web browser automatically, but if this does not happen then look forListening on http://127.0.0.1:xxxx
in your R console and open that page in a web browser manually.
As described in the paper (see reference at the bottom of this page), we have put together examples that can be used to reproduce the analysis in Figure 2 of the paper. To do this using the easy-to-use app, click here. To do this using R code, please click here.
For help using EpiEstim App, see our interactive documentation pages. Sample data for use with EpiEstim App can be found with the publication below.
If you have any issues, please contact robin.thompson@chch.ox.ac.uk
The authors request users to cite the original publication when referencing EpiEstim App, the format or results generated from it.
Thompson RN, Stockwin JE, van Gaalen RD, Polonsky JA, et al. Improved inference of time-varying reproduction numbers during infectious disease outbreaks. Epidemics (2019).