Studying disease with R: RECON, The R Epidemics Consortium

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

For almost a year now, a collection of researchers from around the world has been collaborating to develop the next generation of analysis tools for disease outbreak response using R. The R Epidemics Consortium (RECON) creates R packages for handling, visualizing, and analyzing outbreak data using cutting-edge statistical methods, along with general-purpose tools for data cleaning, versioning, and encryption, and system infrastructure. Like ROpenSci, the Epidemics Consortium is focused on developing efficient, reliable, and accessible open-source tools, but with a focus on epidemology as opposed to science generally.

RECONThe Epidemics Consortium has already created several useful resources for epidemiology:

There are also a large number of additional packages under development.

RECON welcomes new members, particularly experienced R developers and as public health officers specialized in outbreak response. You can find information on how to join here, and general information about the R Epidemics Consortium at the link below.

RECON: The R Epidemics Consortium (via Maëlle Salmon‏)


To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)