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DrEricDing's profile
Eric Feigl-Ding
Eric Feigl-Ding
Eric Feigl-Ding
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@DrEricDing

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Eric Feigl-DingVerified account

@DrEricDing

Epidemiologist & health economist. Senior Fellow @FAScientists. Former 16 years @Harvard. @JohnsHopkins alum. COVID updates since Jan '20: http://nym.ag/3olszuo 

Washington DC & Virginia
fas.org/expert/eric-fe…
Joined January 2009

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    Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

    ⚠️Restaurants appear to be among the most riskiest and common places to get infected with the #COVID19, but we still don’t trace close to enough. How sure are we about bars and restaurants being major spreaders? Pretty darn sure. 🧵 https://californiahealthline.org/news/failed-contact-tracing-at-restaurants-leaves-diners-in-the-dark/ …pic.twitter.com/wNF0LbLpvk

    8:23 AM - 30 Nov 2020
    • 1,032 Retweets
    • 2,249 Likes
    • greencounter kate ✍🏻 Mónica - Vaxxed and Masked Jamie Lonsdale Veijo Ryhänen 💉💉💉+💉😷 Jaspe® Jaspe® LoveMyCountry 👑 Terry Huoston Citizens for Real Leadership in NY27
    114 replies 1,032 retweets 2,249 likes
      1. New conversation
      2. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        2) Out of the many social distancing restrictions states chose to implement at the beginning of the pandemic, shutting down restaurants had the strongest correlation to reducing the spread of the disease, according to researchers at U of Vermont. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553297/ …pic.twitter.com/AWF1RZDd8f

        8 replies 134 retweets 445 likes
        Show this thread
      3. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        3) In Japan, investigators use contact tracing to identify clusters of disease where people live or congregate. Out of about 3,000 cases confirmed from January to April in that country, investigators could identify 61 clusters, 16% of which were in restaurants or bars.

        2 replies 76 retweets 356 likes
        Show this thread
      4. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        4) A recent Stanford University-led study that used mobile phone data from different cities to create a simulation of viral spread suggests that restaurants operating at full capacity spread four times as many additional COVID-19 infections as the next-worst location, indoor gyms

        6 replies 145 retweets 454 likes
        Show this thread
      5. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        5) CDC study across 10 states found that those who had tested positive for COVID-19 were more than twice as likely to say they had dined at a restaurant in the two weeks before their illness began, compared with those who tested negative.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499837/ …

        2 replies 92 retweets 327 likes
        Show this thread
      6. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        6) In China, for instance, contact tracing revealed how a restaurant’s air conditioning unit may have carried a positive patient’s viral droplets from one table to two others, infecting nine other people.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323555/ …

        5 replies 79 retweets 319 likes
        Show this thread
      7. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        7) Great reporting by @annaalmendrala in this story.https://californiahealthline.org/news/failed-contact-tracing-at-restaurants-leaves-diners-in-the-dark/ …

        3 replies 57 retweets 278 likes
        Show this thread
      8. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        8) I really want people to dive into this Stanford study that used @SafeGraph data. It clearly shows just how much each contribute to additional infections from reopening: clearly restaurants top, but also gyms, cafes, hotels, limited service restaurants. https://www.nature.com/articles/s41586-020-2923-3.epdf?sharing_token=c2VoryoYtQWd97ZdgEeRENRgN0jAjWel9jnR3ZoTv0P4QCkIKJMffNLo7c2z6ZZTYnGvAvX3fI35Ev4XiT4qy_Aw6981p_PWN2cUGQp-Db0e94Jx4cKJQKn89MbI01LV-5MeKLdkAFZjD7pS4mC45svhw8DcXn1DInTY6nWUQ50%3D …pic.twitter.com/ulowlAvWLE

        10 replies 164 retweets 472 likes
        Show this thread
      9. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        9) Moreover, full service restaurants (light blue) were modeled also as major infection source across many metro areas.pic.twitter.com/BzvBVUDsaF

        11 replies 80 retweets 336 likes
        Show this thread
      10. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        10) Also what about these businesses and infection across income groups? Full service restaurants again stand out. But notice how among high income groups, **cafes and gyms** stand out a lot more as infection groups. While in low income groups, **churches** and grocery stores.pic.twitter.com/PiEwJUHWql

        15 replies 103 retweets 356 likes
        Show this thread
      11. Eric Feigl-Ding‏Verified account @DrEricDing 30 Nov 2020

        Eric Feigl-Ding Retweeted Eric Feigl-Ding

        11) What is the best way to measure risk of aerosol transmission indoors? Use this Very interactive calculator.https://twitter.com/DrEricDing/status/1332295969786966020 …

        Eric Feigl-Ding added,

        Eric Feigl-DingVerified account @DrEricDing
        WOW. Amazing tool to calculate #SARSCoV2 risk indoors w/ airborne aerosols: 📌Mask? 📌If so, what type of mask? 📌How much ventilation? 📌How many people? 📌Speaking time? 📌Speaking volume? 📌Size of room? 📌Ceiling height? 📌Duration in room? #COVID19 https://www.zeit.de/wissen/gesundheit/2020-11/coronavirus-aerosols-infection-risk-hotspot-interiors … pic.twitter.com/Z2mOeGlKaa
        Show this thread
        7 replies 69 retweets 203 likes
        Show this thread
      12. End of conversation

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