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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. Nsikan Akpan, PhD‏Verified account @MoNscience Mar 17
      Replying to @GidMK

      So what would you add to better detect asymptomatic cases? Also they make a similar statement in the discussion.

      1 reply 0 retweets 0 likes
    2. Nsikan Akpan, PhD‏Verified account @MoNscience Mar 17
      Replying to @MoNscience @GidMK

      Also their analysis included people with low symptomatologypic.twitter.com/f2aTy5F8E8

      1 reply 0 retweets 1 like
    3. Health Nerd‏Verified account @GidMK Mar 17
      Replying to @MoNscience

      Yes I'm not saying this is the fault of the researchers, nor that they're wrong per se, but the inherent issue is that using retrospective analyses of routinely collected data you're always at risk of selection bias

      2 replies 0 retweets 1 like
    4. Health Nerd‏Verified account @GidMK Mar 17
      Replying to @GidMK @MoNscience

      What we really need is a longitudinal cohort of the same individuals that has been followed over time, with a non-probabilistic sampling method to minimize selection bias, and who are tested (say) twice a month regardless of symptoms. But that is a really hard ask

      1 reply 0 retweets 0 likes
    5. Health Nerd‏Verified account @GidMK Mar 17
      Replying to @GidMK @MoNscience

      So I'm not saying the researchers could've done a better study using the data at hand, because I love this piece of research, but that to really answer the question we kind of need a different study design altogether

      1 reply 0 retweets 0 likes
    6. Nsikan Akpan, PhD‏Verified account @MoNscience Mar 17
      Replying to @GidMK

      I’m not seeing the selection bias in free-for-all testing but agree on looking longitudinal. But “they need more longitudinal data” can apply to most studies. 😅

      1 reply 0 retweets 0 likes
    7. Health Nerd‏Verified account @GidMK Mar 17
      Replying to @MoNscience

      Because people choose themselves whether to get tested. While there may not have been a direct monetary cost, testing is certainly not without secondary costs including time, effort, discomfort, etc...

      1 reply 0 retweets 0 likes
    8. Nsikan Akpan, PhD‏Verified account @MoNscience Mar 17
      Replying to @GidMK

      But if the barriers to access testing are extremely low, people will seek tests after close calls/suspected exposures even without symptoms?

      1 reply 0 retweets 0 likes
    9. Health Nerd‏Verified account @GidMK Mar 17
      Replying to @MoNscience

      They will be more likely to seek testing than if there's a monetary cost, but the potential for bias is certainly there. Even in vast studies that offer free tests (i.e. ENE-COVID) AND follow people up with multiple phone calls 20-30% of people don't do it

      2 replies 0 retweets 0 likes
    10. Nsikan Akpan, PhD‏Verified account @MoNscience Mar 17
      Replying to @GidMK

      So the alternative is active regular surveillance...of the whole population of Denmark? That doesn’t seem plausible. And if a team went with a subset of Denmark, then they’d be introducing bias.

      1 reply 0 retweets 0 likes
      Health Nerd‏Verified account @GidMK Mar 17
      Replying to @MoNscience

      No, you could definitely conduct active surveillance without such a massive sample. The REACT-2 study is a beautiful example, although unfortunately they do not always re-test the same individuals over time

      6:41 PM - 17 Mar 2021
      • 1 Like
      • Nsikan Akpan, PhD
      0 replies 0 retweets 1 like

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