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  1. proslijedio/la je Tweet
    prije 17 sati

    A more recent take on some of the same topics is here with a more updated figure on the flow of information

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  2. proslijedio/la je Tweet
    prije 17 sati

    If nCoV spread has many features of pandemic flu, as many anticipate, it will be important to design surveillance and epi studies to get the info needed for decisions. Here is a deep dive into how to do that and what is needed

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  3. proslijedio/la je Tweet

    For week 2 in my Network Epistemology class, we looked at a classic economics model: information cascades. The basic idea of the info. cascade model is to show that even rational individuals can sometimes engage in apparently irrational collective behavior.

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  4. proslijedio/la je Tweet
    2. velj
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  5. proslijedio/la je Tweet
    1. velj

    Epidemics have mythological potential, but one thing is clear: knowledge is the antidote to fear. Research is as critical as first-line response

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  6. proslijedio/la je Tweet
    1. velj

    So had to guesstimate the data but I think this actually works OK with a normal scale instead of a log one. The Wuhan coronavirus red box is a lot tinier on this chart but... maybe that's a good thing? I'd argue this puts it in 'correct' perspective compared to SARS, Ebola, etc.

    , , i još njih 5
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  7. proslijedio/la je Tweet
    2. velj

    As the case numbers grow and challenge surveillance capacity in more places, we need a way to estimate case numbers without testing everyone. We thought thru this in 2009 flu - this Lancet paper resulted. Please share

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  8. proslijedio/la je Tweet

    He claims to be a Harvard epidemiologist, and on paper that's true. He's a visiting scientist, not a regular Harvard faculty member. He's a nutritionist, not an infectious disease epidemiologist. He's fanned the flames of numerous conspiracies.

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  9. proslijedio/la je Tweet
    31. sij

    Panic has been studied in depth by experts in the academic field of Disaster Management. Here's an article about it - I'll pull an excerpt. (2/

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  10. proslijedio/la je Tweet
    31. sij

    The reason public health people are furious with Feigl-Ding is that such groundless, hand-waving paranoia continually coming from someone coded as an "expert" is sufficient to take people's fear (natural and normal) and ferment it into panic. (1/

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  11. proslijedio/la je Tweet
    31. sij

    Born just over 150 years ago, and a pioneer for women in , access Dr. Alice Hamilton's freely-available autobiography "Exploring the Dangerous Trades".

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  12. proslijedio/la je Tweet
    31. sij

    Dismaying headline in today’s . Addressing poor health means working together to tackle the structures that generate poor health. Hate, racism, political division—these distract from the work of creating health, and ultimately make us sicker.

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  13. proslijedio/la je Tweet
    30. sij

    The February 2020 issue of Significance has just been published All issues from 2004 through to February 2019 are free to read at

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  14. proslijedio/la je Tweet
    29. sij

    Our Feb 2020 issue is out now in digital formats. Featuring on measurement error, on Leo Breiman's "Two Cultures", articles on Census 2020 and plea bargains in US federal courts, and a cancer statistics "survival guide"

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  15. proslijedio/la je Tweet

    Calling Bullshit: The Art of Skepticism in a Data-Driven World and I wrote a book about how to spot and refute misinformation—particularly in the form of statistics, dataviz, etc.—for popular audiences. Coming on August 4th. Now on Amazon:

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  16. proslijedio/la je Tweet
    28. sij

    Human brain already seemed ridiculously complex with its 86 billion neurons/trillions synapses/100s neurotransmitters. Now turns out 100 billion glial cells interact w neurons to produce pain/memory/other functions. Eye opening piece: via

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  17. proslijedio/la je Tweet
    27. sij

    ‘Appalling science’ and dichotomania: my response to Hardwicke and Ioannidis

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  18. proslijedio/la je Tweet
    27. sij

    Lots of discussion of R0 (basic reproduction number) for , but maybe useful to explain how to calculate it and where uncertainties come from. R0 is context-specific, and can vary in different populations. It is not a measure of virulence (which is disease severity). 1/x

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  19. proslijedio/la je Tweet
    26. sij

    My latest: The larger the study, the greater the chance of nonsense. Large studies reduce random error, but not systematic error. The bottom line: Always check whether the data can answer the question. If not, don't analyze.

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  20. proslijedio/la je Tweet
    26. sij

    Inspirational/informative website restores hope/reduces suicidal feelings. is often a spur of the moment/impulsive act- these tapes can make the difference. Great idea- please spread the word widely to therapists & patients.

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