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How to see the Future of Omicron w/ NPHET modeller Prof. Cathal Walsh
Manage episode 345851877 series 3410902
Treść dostarczona przez Andrew McGovern and Aidan Long, Andrew McGovern, and Aidan Long. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Andrew McGovern and Aidan Long, Andrew McGovern, and Aidan Long lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
One of the worst things about COVID-19 has been the uncertainty of what happens next. Professor Walsh is a member of the disease modeling team that projects cases and hospitalizations for NPHET. These models have been a critical tool in NPHETs decision making but has their value been miscommunicated?
In this conversation I ask Professor Walsh how they project what will happen. What are the parameters they use and what are the parameters they don’t have? Can they quantify the value of masks, vaccines or the COVID pass in reducing transmission? And why are the public not given updated models which may help us with the uncertainty of the weeks ahead?
This podcast is run by PhD Fellow Andrew McGovern and Post Doctoral Researcher Dr Aidan Long. We would like to thank each of our patrons on patreon which make this possible. If you would like to support the podcast, we welcome you to support us on Patreon.com/livingroomlogic. Also, SEASON 3, coming out on January 17th!
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