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This is a pretty interesting tidbit from the most recent
@WHO report on#2019nCoV. Not surprising - kinda sad, but definitely necessary. The R0 of misinformation is massively higher than the R0 of the virus. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200202-sitrep-13-ncov-v3.pdf?sfvrsn=195f4010_2 …pic.twitter.com/jq7nJUxnvu
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And finally these two describing how this thing is spreading. https://www.biorxiv.org/content/10.1101/2020.01.23.917351v1 … https://www.biorxiv.org/content/10.1101/2020.01.25.919787v1 …pic.twitter.com/1kAGui1E1T
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Oh yeah, ACE2 really IS the receptor - same as SARS-CoV. Turns out TMPRSS2 is involved too. https://www.biorxiv.org/content/10.1101/2020.01.31.929042v1 …pic.twitter.com/OG1UkdKIK1
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So how long does it take to figure out what the receptor is? Hmmm, about a week... Yikes. https://www.biorxiv.org/content/10.1101/2020.01.22.915660v1 …pic.twitter.com/D2URIgIHxP
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Oh hey, these folks sequenced and released the first sequence allowing for the development of diagnostics. https://www.biorxiv.org/content/10.1101/2020.01.24.919183v1 …pic.twitter.com/efLi0FQxSl
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This one describing a bunch of things about the virus and outbreak. https://www.biorxiv.org/content/10.1101/2020.01.22.914952v2 …pic.twitter.com/so5hBHa07j
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We also wrote a shorter version that was a little more targeted towards a clinical audience. Link: https://www.ncbi.nlm.nih.gov/pubmed/30728537 Get it here: https://andersen-lab.com/papers/ladner-et-al-nat-med-2019/ …pic.twitter.com/3NYWRFtcMZ
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A lot of talk about sequencing and tracking the
#2019nCoV epidemic. If you're interested in learning how this all works, we recently wrote a large(ish) review on genomic epidemiology. Link: https://www.ncbi.nlm.nih.gov/pubmed/30546099 Get it here: https://andersen-lab.com/papers/grubaugh-et-al-nat-microbiol-2019/ …pic.twitter.com/6POeuUeKkq
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I don't know man, this seems to be doing just fine.pic.twitter.com/oI2h3yGAhy
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Hell must have frozen over
. But kudos to @NEJM for getting behind the preprint wagon. Is this only relevant for#coronavirus papers though? Or all NEJM submissions? https://www.nejm.org/doi/full/10.1056/NEJMe2001329 …pic.twitter.com/sKhXs0JxIO
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It's sooooo fancy these days - I mean, just look at this?! What kind of wizardry is this??!!pic.twitter.com/CamBv2ooS6
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With 27 genomes of the nCoV
#coronavirus available it is now possible to get reasonable estimates of the evolutionary rate and timing of the epidemic from the genetic data without fixing priors. Rate: ~ 1E-3 s/s/y; TMRCA ~ early December.
http://virological.org/t/clock-and-tmrca-based-on-27-genomes/347 …pic.twitter.com/cYSpnaawIH
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This is a really great Q&A from
@CDCgov about the novel#Coronavirus#nCoV2019. Up-to-date with useful link and highly accurate information. https://www.cdc.gov/coronavirus/2019-ncov/faq.html …pic.twitter.com/8m7RBff47b
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No, snakes are not likely to be the reservoir for nCoV-2019. To investigate this unlikely claim widely circulated in the media, I performed a series of analyses to show that this claim is false and we still don't know the nCoV reservoir. Details here: http://virological.org/t/ncov-2019-codon-usage-and-reservoir-not-snakes-v2/339 …pic.twitter.com/V4sLsjKOtr
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And a week later - the full scientific investigation incl. (hold on to your hat!): 1. Identification 2. Sequencing 3. Sequencing of related virus in bats 4. Create diagnostic test 5. Serology 6. Virus isolation 7. Experimental validation of receptor https://www.biorxiv.org/content/10.1101/2020.01.22.914952v1 …
pic.twitter.com/2yQlejeI7S
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Really interesting study from
@ScrippsRTI colleagues@jmradin,@NathanWineinger,@EricTopol and@SteveSteinhubl - improving flu tracking using Fitbit data: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(19)30222-5/fulltext …pic.twitter.com/NnlwnvlUYQ
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China "deserves *some* credit"? Simply "deserves credit" too strong? I honestly think China (and all people involved) deserves a *fuck ton* of credit. Responding, detecting, identifying, isolating, and sequencing a novel pathogen in 2 weeks = incredible! https://foreignpolicy.com/2020/01/14/china-response-wuhan-pneumonia-better-sars/ …pic.twitter.com/XQFydU9i0v
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Peter, the fact that you can't see this is wrong is deeply concerning because this is the exact reason people don't share data early. You know how easy it is to create an ML tree? You know we all immediately did? Yet we didn't hype it uncredited on Twitter and certainly not this:pic.twitter.com/UndIVH0ZMJ
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They totally do!
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But yes, I agree. Although, Prof. Rambaut, working on it, yes?
pic.twitter.com/XfRg7IQvlk
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