Samuel V. Scarpino

@svscarpino

Assistant Professor - Network Science Institute, Northeastern University; Fellow ISI Foundation; Chief Strategy Officer

Boston, MA
Vrijeme pridruživanja: veljača 2014.

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  1. Prikvačeni tweet
    22. velj 2019.

    "Studying a diverse collection of historical outbreaks, we identify a fundamental entropy barrier for infectious disease time-series forecasting." Giovanni Petri () and I just published "On the predictability of infectious disease outbreaks"

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  2. proslijedio/la je Tweet
    Odgovor korisniku/ci
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  3. prije 4 sata
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  4. proslijedio/la je Tweet
    prije 8 sati

    "Never before has a government quarantined this amount of people to stop the spread of disease...I don’t think we really have the science yet to say when and where is best to quarantine.” SFI External Prof Lauren Ancel Meyers of on :

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  5. Tomorrow (Feb 5th) at 430pm, and are co-hosting a panel discussion on at . There's a fantastic set of leading researchers lined up, including: , from , and . Learn more here:

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    prije 23 sata

    Paper on non symptomatic patient transmitting coronavirus was flawed

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  8. proslijedio/la je Tweet
    4. velj

    While I’m all for such meta-analyses to reveal general insights, please note that 👏🏽 R0 is a measure of transmission *in a particular population* 👏🏽 so a disease cannot be associated with a single R0. R0 ~ pathogen infectiousness * population contact patterns

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    We've just launched our community-based surveillance system for supplementing efforts to track novel . System leverages crowdsourcing with added questions relevant to the

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  10. proslijedio/la je Tweet
    3. velj

    Does community detection with Stochastic Block Models change if we know a network is bipartite? and I have done a deep dive, and we think the answer is yes! Here's a preprint, which we'd love thoughts on, but also a threadsplanation... 1/8

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    Our fever checker provides guidance on respiratory illness Seen an enormous uptake in last 60 days And validation paper with … (Digital Health Application for Influenza Surveillance in China)

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  12. proslijedio/la je Tweet
    2. velj
    Odgovor korisnicima i sljedećem broju korisnika:

    Critical questions about private companies’ roles in public health emergencies; in tracking and surveillance; their cooperation with health authorities and many more. We began the conversation and called for preparedness

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    Not quite up to date but here is a plot of the sampling date of the various nCoV-2019 genomes currently available. Nothing from Wuhan for many weeks (although many of the exported cases are linked to Wuhan).

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  14. proslijedio/la je Tweet
    3. velj

    Teaching microbial ecol/evol & considering going full nCoV for a while. I feel like its almost irresponsible to not mention. It is, of course, also irresponsible to focus on disease @ the expense of other important ecol/evol topics. But the learning opps are so rich. Thoughts?

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  15. proslijedio/la je Tweet
    3. velj

    I thought to examine signal of natural evolution in by looking at distribution of mutations in the lineage leading to nCoV and compare this distribution to mutations occurring in other SARS-like bat viruses 1/9

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    3. velj

    Hubei Province has announced it will be forcibly quarantining close contacts.

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  17. proslijedio/la je Tweet
    2. velj
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  18. proslijedio/la je Tweet
    2. velj

    It's been really fun to interview with my favorite science radio show about modelling . Merci ! "Modéliser l'épidémie du : Entrevue avec Laurent Hébert-Dufresne"

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  19. proslijedio/la je Tweet
    2. velj

    Sequencing technology and sequence variation in nCoV-2019

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  20. proslijedio/la je Tweet
    2. velj

    Huaiyu Tian, & others find that Wuhan city shutdown delayed the spread of to 400 other Chinese cities by about 3 days on average. Shortly to appear medRxiv.

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  21. 2. velj

    Now do you believe in climate change?

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