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LourencoJML's profile
José Lourenço
José Lourenço
José Lourenço
@LourencoJML

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José Lourenço

@LourencoJML

Spaceships & pathogens. Views are my own. 🇵🇹🇬🇧🇪🇺🌈

Avon Oxon Lisbon UK PT Earth
Joined June 2010

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    1. Sunetra Gupta‏ @SunetraGupta 24 Mar 2020

      Sunetra Gupta Retweeted EEID research group

      Finally breaking my twitter silence with this:https://twitter.com/EEID_oxford/status/1242402762283012096 …

      Sunetra Gupta added,

      EEID research group @EEID_oxford
      Fundamental principles of epidemic spread highlight the immediate need for large-scale serological surveys to assess the stage of the SARS-CoV-2 epidemic (soon to be on medRxiv) @SunetraGupta https://www.dropbox.com/s/oxmu2rwsnhi9j9c/Draft-COVID-19-Model%20%2813%29.pdf?dl=0 … pic.twitter.com/MWbD16IIjt
      112 replies . 181 retweets 519 likes
    2. Dankrad Feist‏ @dankrad 24 Mar 2020
      Replying to @SunetraGupta

      Question: What isn't clear to me from your modelling is if you can exclude rho being much larger than 0.01. Is there any suggestion your model might exclude this possibility?

      1 reply . 0 retweets 3 likes
      José Lourenço‏ @LourencoJML 24 Mar 2020
      Replying to @dankrad @SunetraGupta

      We can't exclude that - pretty much the same way the model does not demonstrate that rho is very small. Our professional opinion is that rho is small. The exercises are to demonstrate the theoretical relationship between rho and herd-immunity. These are not forecasts. Thanks!

      12:30 pm - 24 Mar 2020
      • 5 Likes
      • J Paiva ‾|‾hεο🏴∞/21M #Bitcoin Ben Singer David Giesbrecht
      5 replies . 0 retweets 5 likes
        1. New conversation
        2. Dankrad Feist‏ @dankrad 24 Mar 2020
          Replying to @LourencoJML @SunetraGupta

          You might want to clarify that to the FT: "perhaps as much as half the population — according to modelling by researchers at the University of Oxford" I am looking forward to results from your antibody studies as soon as possible!

          1 reply . 0 retweets 7 likes
        3. José Lourenço‏ @LourencoJML 24 Mar 2020
          Replying to @dankrad @SunetraGupta

          Work is underway! (It is difficult to control how information flows, is communicated and interpreted - this, however, and no matter how much some people want to, should NOT be an obstacle for discussion and search for solutions that make this pandemic easier to manage).

          3 replies . 0 retweets 8 likes
        4. Show replies
        1. New conversation
        2. Peter Ellis‏ @pjie2 24 Mar 2020
          Replying to @LourencoJML @dankrad @SunetraGupta

          So if I understand right, this model says that the less dangerous the disease is (smaller rho), the larger the fraction of the population that must have had the disease in order to produce the observed number of deaths, and vice versa.

          1 reply . 0 retweets 2 likes
        3. Peter Ellis‏ @pjie2 24 Mar 2020
          Replying to @pjie2 @LourencoJML and

          ... but it doesn't allow you to say how big or small rho is, as pretty much any value is consistent with the observed curves. That makes sense - an exponential still looks like an exponential if you change the scale on the y axis.

          1 reply . 0 retweets 1 like
        4. Show replies
        1. Dr. Bendor Grosvenor  🇺🇦‏Verified account @arthistorynews 24 Mar 2020
          Replying to @LourencoJML @dankrad @SunetraGupta

          Hi there, I would be very interested to know why you had a PR firm involved in putting the paper out before it was peer reviewed?

          0 replies . 0 retweets 8 likes
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        1. Sesh Nadathur‏ @SeshNadathur 25 Mar 2020
          Replying to @LourencoJML @dankrad @SunetraGupta

          What is the basis for your professional opinion that rho is small?

          0 replies . 0 retweets 1 like
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        1. Boris Barbour‏ @BorisBarbour 25 Mar 2020
          Replying to @LourencoJML @dankrad @SunetraGupta

          On what evidence do you base that "professional opinion"? The model itself provides none, and you don't seem to consider any of the measurements that already exist and contradict that conclusion. Also: sorry, but that theoretical relationship is trivial.

          0 replies . 0 retweets 1 like
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