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The Clinical Problem Solvers

Episode 145: Antiracism in Medicine Series Episode 3 – Structural Inequities and the Pandemic’s Winter Surge

The Clinical Problem Solvers

The Clinical Problem Solvers

Science & Medicine, Medicine, Education, Higher Education

4.7528 Ratings

🗓️ 2 December 2020

⏱️ 23 minutes

🧾️ Download transcript

Summary

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0:00.0

This is Atiba Esion.

0:12.8

This is Derek Paul.

0:14.0

And welcome back to the anti-racism and medicine series of the Clinical Problem Solvers

0:19.0

Podcasts, where as always, our goal is to equip our listeners

0:22.5

at all levels of training with the tools to practice anti-racism and their health professional

0:28.0

careers. We have a very special guest today. Ed Yong is an award-winning journalist and

0:34.5

science writer for the Atlantic. This year, Ed's reporting, including

0:39.3

his cover story, how the pandemic defeated America, has won several journalism awards, and there

0:46.6

are surely many more awards to come. Ed Yong, welcome to the podcast. Hi, thanks so much for having

0:53.1

me. Ed, again, we're so grateful for your

0:56.6

time here. Our show, as I mentioned, is about practicing anti-racism and medicine. And in our

1:03.4

journey so far, we've learned a lot about the importance of combating structural inequities.

1:09.8

In your piece in August this year,

1:12.3

you mentioned that the coronavirus found, exploited,

1:16.7

and widened every inequity that the US has had to offer.

1:21.5

You know, with the second wave coming or actually being here today,

1:26.9

how can we have seen the structural inequities play out at this point?

1:31.7

And what do you think we can expect to come?

1:35.1

Yeah, I think many of the people of color I know who work and infectious diseases and pandemic preparedness, you know,

1:47.6

saw what has actually happened happening a mile away, like went from the earliest point to the

1:53.5

pandemic, you know, people recognized that black and indigenous and Latino and Pacific Islander groups were more likely to be disproportionately

2:05.6

influenced, disproportionately infected and killed by the coronavirus. Even when policymakers

...

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