Top Tweets for #EpidemicsBook
An updated version (0.6-4) of the epimdr-package for the #EpidemicsBook https://t.co/JGyifji1fO is now on CRAN. Update to keep functionality pending some upcoming changes on CRAN. See details on https://t.co/CjivUYZc8X
To interact with some of the parasitoid-host models from the #EpidemicsBook the parasitoidhost.rmd on
https://t.co/85JR20Dh2F
has embedded @ShinyApps that can be run from Rstudio
New @cmmid_lshtm #BookClub blog post on Epidemics by @BjornstadOttar ! ๐ Great overview of parasitoids and their dynamics, led to nice discussions as always with @NeneRiehus & @nomo_jimmy
https://t.co/50yHPeT7F9
New version 0.6-3 of the epimdr-package companion to the #EpidemicsBook is now on CRAN. Main changes are improvements on #ShinyApps associated with various chapters.
@WilbertVPanhui gave @ciddpsu seminar today about @ProjectTycho for infectious disease data (https://t.co/PiDORiM1Ur ). Several of the data sets analyzed in the #EpidemicsBook (https://t.co/CjivUYZc8X) were made available by this great initiative!
Age-Dependent transmission https://t.co/oXImODIrxY via @wordpressdotcom
I love the feedback. Next edition of #EpidemicsBook will be much better for it! https://t.co/MsGIAvg28U
I am following @cmmid_lshtm carefully. 2nd edition of #EpidemicsBook may take a year to complete, but I will improve / elaborate on all aspects raised. Grateful for feedback!
https://t.co/9Qi2lGCtPM via @amazon
Epidemics - Models and Data using R https://t.co/doDZ4VXtnx
It was time to discuss the Chapter 3 of @BjornstadOttar's "Epidemics" book. Stuffed with examples, old and new methods it tought us a lot about estimating R0 for a pathogen. Here is a blog about it: https://t.co/tur3xnXpZ3
@gmknght @cmmid_lshtm @Chjulian
I have posted the syllabus for my upcoming Disease Dynamics graduate class based on my #EpidemicsBook and #epimdr r-package on github if anybody is interested: https://t.co/CjivUYZc8X
@FabiKrauer @monkeymyshkin @alexvespi @AdamJKucharski Chapter 12 of my #EpidemicsBook has simple R code for network generation and transmission. You can download chapter from https://t.co/JGyifji1fO. Code itself is GPL CC-BY-NC on GitHub: https://t.co/CjivUYZc8X
... @sdwfrost @epirecipes: "Thanks! That's very much appreciated, and I've converted the Rnw to Jupyter notebooks. It'll take me a while to redact the text to within fair use, but this makes it much easier" #EpidemicsBook #epimdr
Shared all markdowns of #EpidemicsBook with @sdwfrost for use at @epirecipes. "I am grateful that you share & port the code. It took me a long time putting it together so I hope it may benefit as many new epi-scientist as possible"...
I've also started adding the R code from @BjornstadOttar #EpidemicsBook so it can be run online without installing anything, and also porting examples to #julialang https://t.co/fYEZ98RjkY
Expanded shinyApp of Outbreak Response Vaccination decision tool (Grais et al. 2008 JRS Interface 5:64-74) from chapter 8 of #EpidemicsBook and #epimdr R-package. Just posted on https://t.co/TuFwR8oS2g. Original work with @TheFerrariLab, @monkeymyshkin and others
The shinyApps of the #EpidemicsBook (https://t.co/JGyifjzC7m โฆ โฆ) are in the epidmr package (https://t.co/NMlxbuzoBv ). If you don't have R, the chapter 2 & 5 SEIR apps are now also on
https://t.co/zI5WOkYifi
and
https://t.co/FsOA7lQ1cl
I have cleaned and reposted all the code for the #EpidemicsBook (https://t.co/JGyifjzC7m) and reposted on https://t.co/CjivUYHAKn
Chapter 7 of the #EpidemicsBook has code and data for Jess Metcalfs (@CJEMetcalf) 2011 Science (@sciencemagazine) paper on TSIR analysis of in-host malaria dynamics.
https://t.co/JGyifji1fO
Chapter 6 of the #EpidemicsBook use time series data from @ProjectTycho to illustrate methods of time series analysis in R.
https://t.co/JGyifji1fO
Chapter 2 of the #EpidemicsBook has bare-bones code for SIR with non-exponential infectious periods a la Keeling & Grenfell '97, @monkeymyshkin Conlan et al. '10
https://t.co/JGyifji1fO
Chapter 4 of my #EpidemicsBook has the code for a watered-down deterministic version of Ben Bolkers @bolkerb Realistic age-structured (RAS) model of measles dynamics. Can I challenge him to re-implement the full stochastic model in R?
https://t.co/JGyifji1fO
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