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trvrb's profile
Trevor Bedford
Trevor Bedford
Trevor Bedford
Verified account
@trvrb

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Trevor BedfordVerified account

@trvrb

Scientist @fredhutch, studying viruses, evolution and immunity. Collection of #COVID19 threads here: https://bedford.io/misc/twitter/ 

Seattle, WA
bedford.io
Joined December 2010

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    1. Trevor Bedford‏Verified account @trvrb Apr 17

      Very interesting new preprint by Eran Bendavid and colleagues reports seroprevalence estimates from Santa Clara county. Great to have seroprevalence work start to emerge, but I'd be skeptical of the 2-4% seroprevalence result. 1/8https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1 …

      70 replies 584 retweets 1,313 likes
      Show this thread
    2. Trevor Bedford‏Verified account @trvrb Apr 17

      Trevor Bedford Retweeted Natalie E. Dean, PhD

      @nataliexdean gives an excellent overview here and includes a few caveats to keep in mind. 2/8https://twitter.com/nataliexdean/status/1251309217215942656 …

      Trevor Bedford added,

      Natalie E. Dean, PhDVerified account @nataliexdean
      A rapid, unsolicited peer review on emerging serosurvey data from Santa Clara County, and why I remain skeptical of claims that we are identifying only 1 out of every 50 to 85 confirmed cases. 1/10 https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v1 …
      Show this thread
      4 replies 61 retweets 234 likes
      Show this thread
    3. Trevor Bedford‏Verified account @trvrb Apr 17

      I'd pay particular attention to the dependence of results on test performance. The authors assume that the antibody test has 99.5% specificity (point estimate) based on manufacturer + Stanford validation samples where 399 out of 401 pre-COVID samples showed as negative. 3/8

      3 replies 32 retweets 184 likes
      Show this thread
    4. Trevor Bedford‏Verified account @trvrb Apr 17

      Using equation from the appendix we can see how the estimate of prevalence varies with test specificity. A specificity of 99.5% converts an observed 1.5% positive to an estimated prevalence of 1.3%. 4/8pic.twitter.com/buILXEkgzl

      5 replies 34 retweets 154 likes
      Show this thread
    5. Trevor Bedford‏Verified account @trvrb Apr 17

      However, if we assume that the test is just slightly worse and has specificity of 98.5%, then, with observed 1.5% positivity, we'd estimate a prevalence of 0%. 5/8pic.twitter.com/4xT7wiSsB9

      13 replies 53 retweets 236 likes
      Show this thread
    6. Trevor Bedford‏Verified account @trvrb Apr 17

      I've ignored demographic weighting here as it doesn't play into this calculation. 6/8

      2 replies 11 retweets 107 likes
      Show this thread
    7. Trevor Bedford‏Verified account @trvrb Apr 17

      Given how sensitive these results are to performance of the assay, I don't think it's safe to conclude that infections are "50-85-fold more than the number of confirmed cases". 7/8

      5 replies 83 retweets 358 likes
      Show this thread
      Trevor Bedford‏Verified account @trvrb Apr 17

      Trevor Bedford Retweeted Trevor Bedford

      Again, important to have this work being done. I'd just urge caution in interpretation. I will note again that I've been using a 10-20X ratio of cases-to-infections, but will be great to have more data here (I'd be happy to be wrong). 8/8https://twitter.com/trvrb/status/1249414308355649536 …

      Trevor Bedford added,

      Trevor BedfordVerified account @trvrb
      Estimating total number of infections is difficult without serology (see this thread: https://twitter.com/trvrb/status/1247609734896607232 …), but I'd guess that we're catching between 1 in 10 to 1 in 20 infections as a confirmed case. 14/18
      Show this thread
      7:11 PM - 17 Apr 2020
      • 73 Retweets
      • 356 Likes
      • Winnie Amica Jane Wab Mester Miriam Lewis Sabin Peter Rebeiro Caetano Souto Maior Matteo Villa Michael OConnell AbbeBusoni
      29 replies 73 retweets 356 likes
        1. New conversation
        2. Trevor Bedford‏Verified account @trvrb Apr 17

          Trevor Bedford Retweeted John Cherian

          See this thread for a corrected confidence interval to the seroprevalence estimate:https://twitter.com/jjcherian/status/1251279161534091266 …

          Trevor Bedford added,

          John Cherian @jjcherian
          So, what does the final confidence interval look like? Well the 95% CI on the true positive rate (the proportion of truly positive people in Stanford's study) runs from 0.5% to 2.8%. Adjusting for demographics to get an estimate of the county prevalence...
          Show this thread
          14 replies 64 retweets 253 likes
          Show this thread
        3. Trevor Bedford‏Verified account @trvrb Apr 18

          Trevor Bedford Retweeted Richard Neher

          And see here for a full posterior seroprevalence estimate that takes into account uncertainty in sensitivity and specificity of the assay:https://twitter.com/richardneher/status/1251484978854146053 …

          Trevor Bedford added,

          Richard Neher @richardneher
          This results in a posterior distribution for the prevalence f which is peaked somewhere around 1% but compatible with any value below 2%. Hence the data are pretty uninformative. pic.twitter.com/vAhX7P58oC
          Show this thread
          9 replies 31 retweets 100 likes
          Show this thread
        4. End of conversation
        1. Cassandra knew the score‏ @Merz Apr 17
          Replying to @trvrb

          Totally agree. I'd have to see a *lot* more data on the assay's validation, particularly in the field and with diverse populations (with potentially divergent immunological histories and germline Ig genotypes from the initial controls) to buy the cited false discovery rate.

          0 replies 0 retweets 4 likes
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        1. Isabel Rodriguez‏ @isabelrodbar Apr 17
          Replying to @trvrb

          Beyond these arguments, I also worry that this was a convenience sample and test-seeking behavior may affect generalizability of results (travel history, symptoms, etc).

          0 replies 0 retweets 4 likes
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        1. New conversation
        2. Jonah‏ @savethejonahs Apr 18
          Replying to @trvrb

          I’ve been thinking 10x-20x sounds reasonable too but that seems to plummet mortality below what we saw on the Diamond Princess, which I’ve been seeing presented as a pretty good example since they were tested in entirety. Is there something I’m missing about Diamond Princess?

          1 reply 0 retweets 1 like
        3. Jonah‏ @savethejonahs Apr 18
          Replying to @savethejonahs @trvrb

          Jonah Retweeted Adam Kucharski

          This is specifically what I was looking at. Although I guess US is currently running at 5% case fatality rate so 10x would be aligned with 0.5% lower bound?https://twitter.com/adamjkucharski/status/1243466394991239170?s=21 …

          Jonah added,

          Adam KucharskiVerified account @AdamJKucharski
          Recent estimates (including our analysis led by @timwrussell: https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2020.25.12.2000256 …) have suggested 0.5–1% of COVID-19 infections may potentially be fatal overall. Some have interpreted this to mean COVID could be similar to flu, but they're making a crucial mistake... 1/
          Show this thread
          0 replies 0 retweets 1 like
        4. End of conversation
        1. zawy‏ @zawy3 Apr 17
          Replying to @trvrb

          There were 30 deaths at the time which implies 5200*30 = 156k infections (using IFR=0.5%, 2x in 5 days, & 18.5 days from symptoms to death) which is 1.6%

          0 replies 0 retweets 1 like
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        1. SylvanRed‏ @SylvanRed Apr 18
          Replying to @trvrb

          Chelsea MA test suggests possibility of 16x more cases. Given non-random sample, perhaps 10x is a safe assumption for a hotspot. https://www.bostonglobe.com/2020/04/17/business/nearly-third-200-blood-samples-taken-chelsea-show-exposure-coronavirus/?outputType=amp#click=https://t.co/p9NodslbMA …

          0 replies 0 retweets 1 like
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        1. New conversation
        2. Anon VA Person‏ @AnonVAPerson Apr 17
          Replying to @trvrb

          except these results are being replicated all over the world. Most notably in Netherlands, Denmark, Finland, Germany

          3 replies 0 retweets 0 likes
        3. Dr T.‏ @tskould Apr 17
          Replying to @AnonVAPerson @trvrb

          2-3% prevalence at Netherlands : 0.9 - 1.5% CFR

          0 replies 0 retweets 1 like
        4. End of conversation

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