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GidMK's profile
Health Nerd
Health Nerd
Health Nerd
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@GidMK

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Health NerdVerified account

@GidMK

Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him

Sydney, New South Wales
theguardian.com/profile/gideon…
Joined November 2015

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    1. Federico Andres Lois‏ @federicolois Aug 10

      1/ This model (and our paper by extension) was called many things over the months by many epidemiologist. In no circumstance the word 'accurate' or anything similar made the list. I thing some may have to reevaluate their understanding. https://twitter.com/federicolois/status/1409640367985610755 …pic.twitter.com/GAM6LvqSfE

      7 replies 60 retweets 156 likes
      Show this thread
    2. Federico Andres Lois‏ @federicolois Aug 10

      2/ I dont blame them. How on earth 2 outsiders ( @federicolois and @LDjaparidze) could do what others have miserably fail to do? Well the answer to that is because of that: "We are outsiders, we want to know, not to satisfy our 'non-existent' funding interests".

      3 replies 8 retweets 67 likes
      Show this thread
    3. Federico Andres Lois‏ @federicolois Aug 10

      3/ We also come with a very different mindset into the modelling game. We use the tools for what they were designed for: "Gain Insight" Understanding the strengths and limitations of your tools is an artisans work. We approach the work like that.pic.twitter.com/xSeWlRVfcz

      2 replies 3 retweets 38 likes
      Show this thread
    4. Federico Andres Lois‏ @federicolois Aug 10

      4/ Being a scientist is not about being at X or Y academic institution. It is about a burning desire to find new knowledge and insights regardless of the outcome. We could have easily corrupted our work if we wouldn't acknowledge that isolation will break a wave. We didn't budgepic.twitter.com/CX0El5s2z5

      1 reply 6 retweets 53 likes
      Show this thread
    5. Federico Andres Lois‏ @federicolois Aug 10

      5/ We did know before publishing in @MedArXiv that our paper would not have good reception from the pro-lockdown crowd, but we never though that we would end up finding the anti-lockdown crowd more.

      1 reply 3 retweets 33 likes
      Show this thread
    6. Federico Andres Lois‏ @federicolois Aug 10

      6/ But the most interesting piece of evidence of the demise of science is that almost NO epidemiologist would engage with our findings, and when they did they show the lack of understanding of the modelling underpinnings of their own fields.

      1 reply 5 retweets 41 likes
      Show this thread
    7. Federico Andres Lois‏ @federicolois Aug 10

      7/ In this, I will give an special commendation to @GidMK, which not only engaged with us; took the time to read it, even found a mistake in the seroprevalence numbers (which we corrected early on) which whom we discussed the work in detail and agree to disagree in a the IFR.

      1 reply 3 retweets 32 likes
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    8. Federico Andres Lois‏ @federicolois Aug 10

      8/ The jury is still out on that one. We acknowledge it is a bit higher than we estimated, but not as high as suggested (Sweden 'the canary' bounds it). I would say I will call it a draw, because with more transmissible variants it's gonna be very messy to find out who is right.

      2 replies 2 retweets 26 likes
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    9. Health Nerd‏Verified account @GidMK Aug 10
      Replying to @federicolois

      You will be very interested in our forthcoming paper on IFR in LMICs, which includes data from Brazil, Argentina, Peru, Ecuador, Colombia, and a few other places in south/central America 😉

      2 replies 0 retweets 1 like
    10. Federico Andres Lois‏ @federicolois Aug 10
      Replying to @GidMK

      Argentina is a shithole, we need an IFR double the one in Europe to account for our behavior. It is absurd... Peru if you use the 'excess death' adjustment they did, will just corrupt your dataset, please dont.

      1 reply 0 retweets 1 like
      Health Nerd‏Verified account @GidMK Aug 10
      Replying to @federicolois

      We are using confirmed+suspected where possible, but are including models looking at both only confirmed and excess deaths in secondary analyses

      9:23 PM - 10 Aug 2021
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Federico Andres Lois‏ @federicolois Aug 10
          Replying to @GidMK

          Be careful with the 'suspected' category specially in Argentina. The data is very suspect, I have the benefit of knowing some people in charge of that data in my hometown and there are patterns that show that category is a catbag.

          1 reply 0 retweets 0 likes
        3. Federico Andres Lois‏ @federicolois Aug 10
          Replying to @federicolois @GidMK

          You cannot even trust the 'confirmed' here. Unless you have laboratory confirmation --- which we filter for. If you want I can check that data as I know it first hand.

          1 reply 0 retweets 0 likes
        4. Show replies

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