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GidMK's profile
Health Nerd
Health Nerd
Health Nerd
Verified account
@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. Marc Bevand‏ @zorinaq 1 Oct 2020

      Charting the age-stratified Infection Fatality Ratio of COVID-19 vs seasonal influenza: covid is significantly more fatal than the flu at all ages above 30: • 2.9× more fatal at age 30 • 5.0× at 40 • 8.6× at 50 • 13.6× at 60 • 14.4× at 70 Source: https://github.com/mbevand/covid19-age-stratified-ifr#comparing-covid-19-to-seasonal-influenza … .pic.twitter.com/SF4Bl4sDr4

      Eric Feigl-Ding, Health Nerd, Dr. Safa Mote and 3 others
      1. Eric Feigl-Ding @DrEricDing

      2. Health Nerd @GidMK

      3. Dr. Safa Mote @SafaMote

      4. Youyang Gu @youyanggu

      5. Dr Emma Hodcroft @firefoxx66

      6. Natalie E. Dean, PhD @nataliexdean

      73 replies 655 retweets 1,149 likes
      Show this thread
    2. Peter Harrison‏ @Villager1244 1 Oct 2020
      Replying to @zorinaq @DrEricDing and

      Not sure if you've seen the IFR meta-study. They came up with a simple IFR formula based on many IFR studies...it's the black line on this graph and the source is shown on the graph. All consistent with your great work. Thxpic.twitter.com/Bkk8CwsdyC

      3 replies 3 retweets 18 likes
    3. Health Nerd‏Verified account @GidMK 1 Oct 2020
      Replying to @Villager1244 @zorinaq and

      He did include it (I'm a co-author on the meta-study) it's the "Levin" line on the original graph 😉

      4 replies 0 retweets 26 likes
    4. Dmitry Kobak‏ @hippopedoid Jan 6
      Replying to @GidMK @zorinaq

      https://github.com/mbevand/covid19-age-stratified-ifr … says that "The overall IFR estimates of COVID-19, with the exception of Levin et al., are relatively consistent with each other, usually within 30-40%. Levin et al. is often up to 2-fold higher than the others". What's the main reason for this discrepancy?

      1 reply 0 retweets 0 likes
    5. Health Nerd‏Verified account @GidMK Jan 6
      Replying to @hippopedoid @zorinaq

      I don't think that's true actually. Our top range for the 80+ is a bit higher, but broadly all of the estimates that are aggregates rather than from a single sample are very similar

      1 reply 0 retweets 0 likes
    6. Dmitry Kobak‏ @hippopedoid Jan 6
      Replying to @GidMK @zorinaq

      They do look similar in the figure, but I think the quote refers to the age-integrated estimates for different countries as listed in the Table. E.g. for Italy: ENE-COVID / COVID: US CDC /COVID: Verity / COVID: Levin 1.065 /1.092 / 1.382 / 2.177 This does look different.

      3 replies 0 retweets 1 like
    7. Health Nerd‏Verified account @GidMK Jan 6
      Replying to @hippopedoid @zorinaq

      Ah. Depends on the country and how you're calculating the IFR. The numbers can get very divergent particularly if you aren't using very granular age groups

      1 reply 0 retweets 1 like
    8. Dmitry Kobak‏ @hippopedoid Jan 6
      Replying to @GidMK @zorinaq

      I guess it may actually be due to your high estimate of the IFR in the highest age bracket. The difference between Levin-based and other estimates seems larger for countries with older population.

      1 reply 0 retweets 1 like
      Health Nerd‏Verified account @GidMK Jan 6
      Replying to @hippopedoid @zorinaq

      This is in part because we did not exclude aged care populations, which was something that most other aggregate estimates did

      4:24 PM - 6 Jan 2021
      • 2 Likes
      • Atomsk's Sanakan Dmitry Kobak
      1 reply 0 retweets 2 likes
        1. New conversation
        2. Dmitry Kobak‏ @hippopedoid Jan 6
          Replying to @GidMK @zorinaq

          Interesting. Why would they exclude them?

          1 reply 0 retweets 1 like
        3. Health Nerd‏Verified account @GidMK Jan 6
          Replying to @hippopedoid @zorinaq

          Different reasons. One paper I believe argued that there may be more bias in testing for this population, another due to difficulties in death figure ascertainment

          0 replies 0 retweets 2 likes
        4. End of conversation

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