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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/06/r-epidemics-consortium.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>For almost a year now, a <a rel="nofollow" href="http://www.repidemicsconsortium.org/people/" target="_blank">collection of researchers</a> 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 <a rel="nofollow" href="https://ropensci.org/" target="_blank">ROpenSci</a>, 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.</p>
<p><a rel="nofollow" href="https://raw.githubusercontent.com/reconhub/phylo-practical/master/phylo-practical.pdf" target="_blank"><img alt="RECON" title="RECON" src="http://a6.typepad.com/6a0105360ba1c6970c01b8d28cc8ee970c-300wi"></a>The Epidemics Consortium has already created several useful resources for epidemiology:</p>
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<li><a rel="nofollow" href="http://www.repidemicsconsortium.org/outbreaks/" target="_blank">outbreaks</a>, an R package containing a collection of disease outbreak data</li>
<li>epicontacts, an R package for handling epidemiological contact data</li>
<li><a rel="nofollow" href="http://www.repidemicsconsortium.org/incidence/" target="_blank">incidence</a>, an R package to compute, visualize and model disease incidents</li>
<li>A <a rel="nofollow" href="https://github.com/reconhub/phylo-practical/blob/master/README.md" target="_blank">tutorial on phylogenetics with R</a></li>
<li>A set of <a rel="nofollow" href="http://www.repidemicsconsortium.org/resources/guidelines/" target="_blank">guidelines for package development</a></li>
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<p>There are also a large number of <a rel="nofollow" href="http://www.repidemicsconsortium.org/projects/" target="_blank">additional packages under development</a>.</p>
<p>RECON welcomes new members, particularly experienced R developers and as public health officers specialized in outbreak response. You can find <a rel="nofollow" href="http://www.repidemicsconsortium.org/join/" target="_blank">information on how to join here</a>, and general information about the R Epidemics Consortium at the link below.</p>
<p>RECON: <a rel="nofollow" href="http://www.repidemicsconsortium.org/" target="_blank">The R Epidemics Consortium</a> (<a rel="nofollow" href="https://twitter.com/ma_salmon/status/873081149190426624" target="_blank">via</a> Maëlle Salmon‏)</p>
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