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Yonatan Grad
Assistant Prof of Immunology & Infectious Diseases at Harvard TH Chan School of Public Health. Studying infectious diseases & how pathogens evolve and spread.
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Yonatan Grad Oct 24
Thanks, Paul!
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Yonatan Grad Oct 24
Replying to @ZaminIqbal @NBA
Too kind, Zam! ...but if you know of any funders...
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Yonatan Grad Oct 24
A tall order! Would have been out-of-bounds, perhaps, in other contexts. Need to elevate my game!
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Yonatan Grad Oct 24
Replying to @michaelmina_lab
Thank you, Mike!
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Yonatan Grad Oct 24
Replying to @DanLarremore
Thank you, Dan, for the great thread and puns! A net positive, I'd say, the way you lay up all the important context and implications. So very glad to be teammates.
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Yonatan Grad Oct 24
Replying to @JustinLessler @COVID19
Thanks very much, Justin!
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Yonatan Grad Oct 23
Replying to @jennifergardy
Very kind! Thank you! And I’m guessing out-hiking NBA players would be far from a slam-dunk...and in any case tough to rebound from.
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Yonatan Grad Oct 23
Replying to @NBA
What a fantastic collaboration! Many thanks again to the co-authors & all those who made this project happen. Particular thanks to the for its science-driven & careful approach and its encouragement and enthusiasm to share the findings from its amazing efforts! 18/18
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Yonatan Grad Oct 23
Replying to @yhgrad
Feedback, constructive criticism, and questions are all very welcome - we want to make sure that this work is maximally useful! 17/n
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Yonatan Grad Oct 23
Replying to @yhgrad
Still, we anticipate that these findings will help by providing data on early infection and clarifying the link between test results and the stages of infection. 16/n
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Yonatan Grad Oct 23
Replying to @yhgrad
This article is a preprint and so comes with the usual caveats. The study population was predominately male and not representative of the broader population; larger studies will help confirm the findings and assess the generalizability. 15/n
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Yonatan Grad Oct 23
Replying to @yhgrad
Assay reliability and reproducibility are clearly important issues and more work is needed on this, but our results suggest that testing informed by understanding of virus trajectory can improve diagnostic and surveillance algorithms. 14/n
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Yonatan Grad Oct 23
Replying to @yhgrad
Second, modestly more sophisticated decision algorithms can help us extract much greater value from tests we already have available, helping us chart a patient’s course through infection, thereby improving both clinical and public health management. 13/n
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Yonatan Grad Oct 23
Replying to @yhgrad
These findings underscore 2 main points. First, the benefit of frequent SARS-CoV-2 screening, regardless of symptoms, since infections are likely to progress from detectable to peak infectiousness within just a few days. 12/n
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Yonatan Grad Oct 23
Replying to @yhgrad
A second test within two days does a much better job, however 11/n
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Yonatan Grad Oct 23
Replying to @yhgrad
Low Ct values (=high viral RNA concentrations) reliably distinguish acute infections from persistent shedding, but a single test can’t tell if viral RNA concentrations are rising or falling. 10/n
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Yonatan Grad Oct 23
Replying to @yhgrad
For those with acute infection, we found that Ct values peaked within about 3 days and viral RNA shedding took longer to return to the limit of detection in those reporting symptoms compared to those who did not (~11 days vs 7 days). 9/n
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Yonatan Grad Oct 23
Replying to @yhgrad
Due to the great work by the NBA’s occupational health team, there were no players or team staff who tested positive in the NBA’s “bubble” phase of the season’s restart. 8/n
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Yonatan Grad Oct 23
Replying to @yhgrad
... who were monitored for SARS-CoV-2 infection as part of the resumption of the 2019-20 NBA season 7/n
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Yonatan Grad Oct 23
Here we address this gap. With an all-star team including , members of , , & the NBA, we collected samples from players, staff, & vendors... 6/n
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