RECON assembles international experts creating tools and training for disease outbreak analysis using #opensource #Rstats.

Joined January 2018
15 Photos and videos
R Epidemics Consortium (RECON) retweeted
5/5 Grateful to reviewers and supporting organisations including TEPHINET, EPIET Alumni Network, and MSF OCA. #rstats #epitwitter #epi #epidemiology #FETP #EPIET @tephinet @AFENETAfrica, @GHDEMPHNET @EANBoard @MSFsci @reconepi @WHOGOARN @CDCGlobal @ProEpi_ @LSHTM
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R Epidemics Consortium (RECON) retweeted
pins 1.0.0 is out now: blog.rstudio.com/2021/10/04/… — pins publishes data, models, and other R objects, making it easier to share them across projects and with your colleagues. pins 1.0.0 includes a major update to the interface. #rstats
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R Epidemics Consortium (RECON) retweeted
Hey folks! The deadline to apply as a community to host a (fully paid for) open science open source intern is September 17 - I want to see more communities applying! Pls dm me if you have qs, or email y.yehudi at wellcome dot org 👇👇👇
🧵 Do you lead an open source open science project in an area that affects human health? Could your project mentor an intern for 3 months? @outreachy is currently accepting organisation applications for fully-funded internship positions that align with @wellcometrust strategy.
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R Epidemics Consortium (RECON) retweeted
It’s appalling that rich countries, having bought and hoarded their way to the front of the COVID vaccine queue, are now talking about autumn boosters rather than going all out to get doses to the places that really need them. reuters.com/business/healthc…
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R Epidemics Consortium (RECON) retweeted
2/2 Learn how to make many kinds of epidemic curves using ggplot2, incidence2, cowplot and other R packages at epiRhandbook.com/epidemic-cu… @MSFsci @AFENETAfrica @GHDEMPHNET #FETP

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R Epidemics Consortium (RECON) retweeted
1/2 The Epi R Handbook is updated to R v4.1! Written by and for applied epidemiologists - check out epiRhandbook.com! Also, our page on epidemic curves now reflects v1.1 updates to the incidence2 package (developed by @RECONEPI) #rstats #epitwitter @tephinet @WHOGOARN

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R Epidemics Consortium (RECON) retweeted
3 Jun 2021
Are you interested in learning how to use R? Written by and for epidemiologists, the Epidemiologist R Handbook is a free, open-access resource serving as a reference manual for R and is available in an offline version. Check out the latest updates: epirhandbook.com/
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Some RECON tools featured in the #Covid_19 surveillance app released by @WHO !
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R Epidemics Consortium (RECON) retweeted
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R Epidemics Consortium (RECON) retweeted
Amazing work by amazing people! Anyone interested in #outbreak analytics in #rstats, this new, free, comprehensive resource is soon going to be your new best friend. @EANBoard @WHOGOARN @dr_anne_cori @dirk_sch @stephaneghozzi @rgfitzjohn @RECONEPI
1/5 Introducing The Epidemiologist R Handbook! Collaboratively written by and for applied epidemiologists. Check out epiRhandbook.com and share widely!
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Many thanks to @RConsortium for their support and to Matthieu Rolland and Ben Ortiz Ulloa for getting this off the ground! #rstats skills can help inform #epidemic response - all help is welcome!
Your R programming skills can help fight COVID-19! Find out how you can contribute to improve free and open source R tools as part of the COVID-19 Challenge - from the R Epidemics Consortium @RECONEPI @TeebzR #rstats #covid #datascience r-consortium.org/blog/2021/0…
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R Epidemics Consortium (RECON) retweeted
RStudio 1.4: IT'S FINALLY HERE! blog.rstudio.com/2021/01/19/… #rstats

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R Epidemics Consortium (RECON) retweeted
How do we adapt #COVID19 transmission models to local settings & why is that important? 🤔 @rozeggo & colleagues explain in @nresearchnews, outlining the challenges of incorporating setting-specific intricacies. ⬇️ go.nature.com/39R2udY @AdamJKucharski @JayDawa @ZulmaCucunuba

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R Epidemics Consortium (RECON) retweeted
My experience has been basics done well will address many issues, but will also pave the way for more advanced analyses. Part of the reasons why @RECONEPI has devoted time to both - examples follow.
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R Epidemics Consortium (RECON) retweeted
Example of basics done well can be found in @_TimTaylor_ 's incidence2 for handling epidemic curves repidemicsconsortium.org/inc…

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R Epidemics Consortium (RECON) retweeted
How basic tools lead to more advanced things: see #rstats trending and trendeval for automated model selection: github.com/reconhub/trendeva… itself used for fitting epidemic trends in i2extras: repidemicsconsortium.org/i2e…
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R Epidemics Consortium (RECON) retweeted
Is the new variant of SARS-CoV-2 more transmissible than others and if yes by how much? We @cmmid_lshtm are currently looking at this by comparing reproduction numbers between local areas in England (w/ @seabbs). WORK IN PROGRESS, NOT PEER REVIEWED. 1/10 raw.githubusercontent.com/ep…

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R Epidemics Consortium (RECON) retweeted
2 RA or Postdoc (London, United Kingdom) Modelling Vaccine Impact in the Vaccine Impact Modelling Consortium with @mathModInf at @vaccineimpact @MRC_Outbreak @Imperial_JIDEA @Imperial_IDE More details: iddjobs.org/jobs/2-x-researc…

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R Epidemics Consortium (RECON) retweeted
Take-home message: development of outbreak analytics tools needs to be supported by our funders and institutions #epitwitter @RECONEPI @WHOGOARN @wellcometrust @gatesfoundation @EANBoard @GcrfRecap @LSHTM @cmmid_lshtm @rgfitzjohn
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