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Follow the data: the search for COVID’s origin (Ep 105)

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Manage episode 376359754 series 1941323
内容由Art Woods, Cam Ghalambor, and Marty Martin, Art Woods, Cam Ghalambor, and Marty Martin提供。所有播客内容(包括剧集、图形和播客描述)均由 Art Woods, Cam Ghalambor, and Marty Martin, Art Woods, Cam Ghalambor, and Marty Martin 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

On this episode, we talk with Alina Chan, postdoc at the Broad Institute of MIT and Harvard and co-author with Matt Ridley of Viral: The Search for the Origin of COVID-19. SARS-CoV-2 could have plausibly jumped into humans in Wuhan via one of two paths. The first is zoonotic transfer from wild bats to humans, possibly via an intermediate animal host. The second is some kind of lab accident: researchers working on a SARS-CoV-2-like virus accidentally became infected with it and then transmitted it to others in Wuhan. Although early discussions among virologists reached the consensus that the origin was almost surely zoonotic, more recent discussions have started to take the lab-leak theory seriously. Unfortunately, we still lack conclusive evidence in support of either hypothesis. And, as public leaders have co-opted the investigation for nonscientific reasons, the subject of COVID’s origin has become practically taboo.

Alina’s approach is to “follow the data,” leaving no stone unturned, and we believe that it is our responsibility as scientists to do the same. We talk to Alina about her book, as well as the many new things that have been revealed about COVID’s origins since its 2021 publication. Towards the end of the chat, we discuss the implications of what we’ve learned about SARS-CoV-2 for how we should prepare for and deal with future pandemics.

We hope that this episode inspires you to seek the best possible explanation of COVID origins. Please write to info@bigbiology.org and tell us what you think, and share with friends and family.

Cover art: Keating Shahmehri

--- Support this podcast: https://podcasters.spotify.com/pod/show/bigbiology/support
  continue reading

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Manage episode 376359754 series 1941323
内容由Art Woods, Cam Ghalambor, and Marty Martin, Art Woods, Cam Ghalambor, and Marty Martin提供。所有播客内容(包括剧集、图形和播客描述)均由 Art Woods, Cam Ghalambor, and Marty Martin, Art Woods, Cam Ghalambor, and Marty Martin 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

On this episode, we talk with Alina Chan, postdoc at the Broad Institute of MIT and Harvard and co-author with Matt Ridley of Viral: The Search for the Origin of COVID-19. SARS-CoV-2 could have plausibly jumped into humans in Wuhan via one of two paths. The first is zoonotic transfer from wild bats to humans, possibly via an intermediate animal host. The second is some kind of lab accident: researchers working on a SARS-CoV-2-like virus accidentally became infected with it and then transmitted it to others in Wuhan. Although early discussions among virologists reached the consensus that the origin was almost surely zoonotic, more recent discussions have started to take the lab-leak theory seriously. Unfortunately, we still lack conclusive evidence in support of either hypothesis. And, as public leaders have co-opted the investigation for nonscientific reasons, the subject of COVID’s origin has become practically taboo.

Alina’s approach is to “follow the data,” leaving no stone unturned, and we believe that it is our responsibility as scientists to do the same. We talk to Alina about her book, as well as the many new things that have been revealed about COVID’s origins since its 2021 publication. Towards the end of the chat, we discuss the implications of what we’ve learned about SARS-CoV-2 for how we should prepare for and deal with future pandemics.

We hope that this episode inspires you to seek the best possible explanation of COVID origins. Please write to info@bigbiology.org and tell us what you think, and share with friends and family.

Cover art: Keating Shahmehri

--- Support this podcast: https://podcasters.spotify.com/pod/show/bigbiology/support
  continue reading

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