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Speaker 1: Radio radio radio Commies, a myth and Bullshit, a radio

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Speaker 1: phonic novella look At a Radio hosted by Malamo. Welcome

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Speaker 1: to season four of Look at the Radio. Wanted for

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Speaker 1: Crimes against the Patriarchal. We interrupt our regularly scheduled programming

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Speaker 1: to bring you Quarantine Confidential, a special pandemic broadcast about

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Speaker 1: our experiences with quarantine and COVID nineteen. I'm Giosa and

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Speaker 1: I'm Mala. Our intention behind this mini series is to

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Speaker 1: archive our experiences during this global coronavirus pandemic. Thank thank

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Speaker 1: you bringing us on this journey. Yes, thank you so

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Speaker 1: much for joining us on this journey. I'm super excited

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Speaker 1: for this edition of Quarantine Confidential. Last time on Quarantine Confidential,

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Speaker 1: we interviewed Marvin Lemos and Linda vet Chavez, the creators

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Speaker 1: of the hit Netflix series Henthified. So you can listen

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Speaker 1: to our interview with Marvin and Linda on Apple Podcast, Spotify, SoundCloud,

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Speaker 1: and audio book. Yes, tune in if you haven't already.

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Speaker 1: That interview was so much fun. It's a lengthy interview.

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Speaker 1: We talked about a lot. Yeah, and I think we

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Speaker 1: really got deep into the coronavirus or just the global

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Speaker 1: pandemic and how we're all feeling. And then we also

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Speaker 1: talked about the creation panthified. So I think it was

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Speaker 1: a really fun interview but also has some depth to it. Agreed, Agreed.

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Speaker 1: I had a great time talking to them. They're a riot,

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Speaker 1: Linda and Marvin. They're really fun. So hopefully if we

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Speaker 1: are ever allowed to leave our homes again, we can

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Speaker 1: hang out in a life we were talking about that,

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Speaker 1: um so yeah, cute stuff. And today we're gonna just

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Speaker 1: like catch up and talk about what we've been watching,

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Speaker 1: what we've been doing, what we've been observing, and then

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Speaker 1: we have a really special interview in the second half

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Speaker 1: of this episode with Dr m J. Murphy. She is

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Speaker 1: a frontline e er resident physician in a hospital in

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Speaker 1: New York City, the epicenter of our coronavirus pandemic here

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Speaker 1: in the States, and we're going to talk to her

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Speaker 1: about what she's experiencing on the front lines. So before

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Speaker 1: we get to that, Yosa, what have you been up to?

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Speaker 1: What have you been watching? How's how's pandemic life? I

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Speaker 1: started rewatching the Mindy project, yes, because I never finished,

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Speaker 1: so I think that's on, Like I stopped watching around

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Speaker 1: season four, um, just because life got so busy and

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Speaker 1: I just stopped watching. So I'm starting to rewatch it,

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Speaker 1: and I'm also rewatching Desperate Housewives. Love it and it's

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Speaker 1: just good to early two thousand's drama, um, white sub white,

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Speaker 1: suburbia drama that I cannot relate to, but it's still

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Speaker 1: really entertaining. Yeah that I've been rewatching and right, and

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Speaker 1: it's just also funny seeing now like Felicity Huffman's because oh, no, university,

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Speaker 1: remember when the college admission scandal was like our biggest problem,

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Speaker 1: like like like I would be really it was a

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Speaker 1: simpler time. It was a simpler time. But you know

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Speaker 1: what I remember, uh, loving Desperate Housewives because we still

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Speaker 1: had our Latin X representation. We had Eva Longoria and

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Speaker 1: her finest husband Carlos. Yes, daddy is so fine. And

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Speaker 1: also okay, not to go off on a Desperate house

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Speaker 1: I've spended but it's okay. So Terry Hatcher, it's considered

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Speaker 1: or at the time, was voted one of the sexiest women,

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Speaker 1: like itching, I remember that, right, And so I've just

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Speaker 1: been looking at these women and I'm like this was

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Speaker 1: are like these were are like really beautiful and they

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Speaker 1: are there. I'm not not to say that they aren't,

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Speaker 1: but it's just really interesting how things have changed in

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Speaker 1: terms of what society finds beautiful. I don't know, that's

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Speaker 1: the whole different conversation. Oh yeah, there was a time

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Speaker 1: where it was like Pamela Anderson was everything, Harris Hilton

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Speaker 1: was everything. They were like the beauty icons. When the

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Speaker 1: look was like see you know, that was the look

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Speaker 1: and they had it. I know, like I remember when

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Speaker 1: people would say I remember in like movies and just media.

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Speaker 1: At the time, the whole thing was like does my

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Speaker 1: ask looks that? But in a negative way, right, And

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Speaker 1: now everybody wants the fact ut you know, And it's

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Speaker 1: just really interesting to see if our ideas of beauty

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Speaker 1: have provis Yeah, um, I totally agree. I mean there

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Speaker 1: was a time right where it was like Jen Aniston

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Speaker 1: was like the that bitch, like she was that girl.

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Speaker 1: Everyone wanted to look like Jen Aniston. So it was

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Speaker 1: funny when I was in college, I took this like

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Speaker 1: Latino Theater like class, um, shout out Noey Montez, my professor, Um,

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Speaker 1: so know, we had us read this article. There's this

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Speaker 1: genre of academia that does a lot of focus on

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Speaker 1: like the body, and there are PhDs who write almost

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Speaker 1: exclusively about like Selena and j Lo and like their

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Speaker 1: bodies and like the politic around that and just their

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Speaker 1: butts alone. Did you read the Lot of Love Beauty

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Speaker 1: that I read like someone to read? Yes, I read

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Speaker 1: that too. I wrote a paper from that dissertation. There

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Speaker 1: you go, right, So we were all reading dissertations about

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Speaker 1: j los As in college. Um, that was our our study.

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Speaker 1: That's what I went to school to study. And um, clearly,

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Speaker 1: And I just think it's fascinating because it really is

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Speaker 1: a thing. There's been a paradigm shift, and there's such

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Speaker 1: a focus on like that the lower half of the

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Speaker 1: body specifically, which I think is really there's like ties

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Speaker 1: to anti blackness and the hot and top venus and

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Speaker 1: all of these things and objectification of black women, and

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Speaker 1: there's a lot of writing about it, but it's so true.

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Speaker 1: It's a trip like going back in time in beauty standards, right,

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Speaker 1: And it's a trip to see because it's not that

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Speaker 1: now we find women of color or black women specifically,

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Speaker 1: and we have a society like more attractive or the

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Speaker 1: actual beauty standard. But it's more of the body type,

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Speaker 1: but on a white woman, that's what's most attractive. The roots, right,

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Speaker 1: rooted in anti blackness and the hyper sexualization bodies of

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Speaker 1: black women. Yeah. So anyway, I'm thinking all of this

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Speaker 1: while I'm watching Desperate Housewife, of course, because God forbid,

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Speaker 1: I like consume media and not think that way. Right,

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Speaker 1: It's right. I just you in my mind and like

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Speaker 1: I always spar it with you because everyone else is like,

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Speaker 1: oh my god, can you not? And I'm like, fine,

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Speaker 1: you know, so I don't. I let people be. But

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Speaker 1: internally I'm thinking exactly exactly. Um. But something that we

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Speaker 1: talked about in the last episode we talked about un orthodox?

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Speaker 1: Will you alluded to an orthodox? I finally watched it, girl,

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Speaker 1: tell us how you think? What did you think? Wow? Um? Okay?

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Speaker 1: So I, um, like most things these days, that's knew

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Speaker 1: like a Netflix original. I have been watching it with

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Speaker 1: zero expectations, so like not really knowing what I'm going

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Speaker 1: to get into, but it'd be really good, right, Sure,

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Speaker 1: So I watched because Mama was like, you have to

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Speaker 1: watch it, so naturally I did and it wasn't intense

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Speaker 1: and incredibly emotional. Um, I cried multiple times. Beautifully done,

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Speaker 1: and I thought he and I thought it was done

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Speaker 1: with such cultural respect. Obviously I'm not of that culture,

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Speaker 1: but I did watch the making of it afterwards, um riveting,

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Speaker 1: and so I thought, yeah, I thought it was so

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Speaker 1: beautifully done. And I think that they really capture how

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Speaker 1: this community was really birthed out of collective trauma, out

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Speaker 1: of the Holocaust. So I thought that that was so

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Speaker 1: beautifully done. And I heard all of our listeners to

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Speaker 1: watch it. It's really good. It's I mean, the episodes

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Speaker 1: are like forty five minutes, and I think there's only

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Speaker 1: like seven or eight episodes. So needless to say, I

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Speaker 1: watched it in a day, right, I watched it in

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Speaker 1: a day. Once I started, I couldn't stop. I sat

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Speaker 1: on my couch and I sobbed all the way through.

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Speaker 1: Like you said, it was super emotional. And the actress

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Speaker 1: who played st just killed in that role. She really conveyed.

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Speaker 1: She conveyed the pain and the conflict, but also just

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Speaker 1: like this spirit, and I loved just like her desire

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Speaker 1: to be an artist and just figuring out where her

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Speaker 1: art was, like what exactly her niche was. And I

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Speaker 1: love that moment where it's like her culture which was

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Speaker 1: trapping her also was her gift at the same time,

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Speaker 1: you know, when she's saying like that Yiddish song and

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Speaker 1: not to like obviously spoilers all the way around, but

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Speaker 1: I mean whatever, we make no promises on this podcast.

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Speaker 1: So I mean it was just Gordon. The whole thing

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Speaker 1: was gorgeous. And I just when it ended, I'm like,

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Speaker 1: is there gonna be a season two? Is there more?

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Speaker 1: Is this it? Like? I need more. I want to

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Speaker 1: know more, Like I need to see her. I need

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Speaker 1: to see s D in action. I need to know

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Speaker 1: if she got the scholarship right. And so for those listening,

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Speaker 1: we just jumped right into the storyline. But this is

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Speaker 1: a Netflix original series called Unorthodox, and it's based on

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Speaker 1: a true story. Um, a woman who I should have

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Speaker 1: looked at her name before we started talking about it.

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Speaker 1: But the author of this book wrote a memoir about

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Speaker 1: growing up in this sat Mar Hasidic Jewish community in Brooklyn,

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Speaker 1: New York, and just it's very insularum, very intent channel

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Speaker 1: community set up post Holocaust, and she left and so

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Speaker 1: this show un Orthodox is an adaptation, a sort of

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Speaker 1: fictionalized adaptation of this woman's true life story. And it's amazing,

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Speaker 1: So I highly recommend everybody go watch it. Yeah, it's

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Speaker 1: really good. It's really good, and I think it just

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Speaker 1: gives for me, gave me an insight to a religion

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Speaker 1: and culture that I knew very little about and forced

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Speaker 1: new little things because I went to Catholic school and

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Speaker 1: you know, we did learn about the religion, so I

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Speaker 1: knew very little to the depth of it. I think

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Speaker 1: apically done. Yeah, absolutely, absolutely, Like in Catholic school, they're

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Speaker 1: not trying to expose you to other religious beliefs or experiences.

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Speaker 1: They're like my senior year, I actually, um it was

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Speaker 1: required to the take a World Religions class, so um

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Speaker 1: chapter study the different religion of the world. Yeah. My school,

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Speaker 1: considering it was a Catholic school, it was like pretty

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Speaker 1: like there were some progressive aspects of it. I won't

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Speaker 1: say it's progressive because it's it was still a Catholic school.

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Speaker 1: My junior year, they we had to learn about like

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Speaker 1: all of the sacraments, but like in depth, and so

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Speaker 1: they actually had us make a marriage book. And so

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Speaker 1: our marriage book we would plan out a whole wedding itselves.

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Speaker 1: As like the sixteen year old ye get out and

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Speaker 1: have a maid of honor like a whole thing, like

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Speaker 1: you were planning a whole wedding. It was crazy. Of course,

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Speaker 1: everybody into it. School was known, like had a reputation

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Speaker 1: for being more progressive, especially because of like um, I

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Speaker 1: think people knew of of that school is as as

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Speaker 1: being one that allowed pregnant students to continue their education

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Speaker 1: for as long as it was like medically safe to

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Speaker 1: do so, right, and that's not true of other Catholic schools.

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Speaker 1: They will kick your ass out right absolutely, and like

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Speaker 1: for me, like I was out in high school, and

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Speaker 1: so I took my high school girlfriend, who like senior prom,

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Speaker 1: And that wasn't even a question. It was, you know,

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Speaker 1: I'm just going to take my girlfriend to senior proms. However,

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Speaker 1: later I found at other classic schools you weren't allowed

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Speaker 1: to take another girl. You literally had to take a book. Yeah,

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Speaker 1: so there were some progressive things for sure. All of

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Speaker 1: that to say that I took a with this class

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Speaker 1: my senior year until we were required about different religions.

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Speaker 1: So I did have some insight and some acquired learning

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Speaker 1: about jude as a and other religions such as Buddhism

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Speaker 1: and Hinduism and although and different religions you know, of

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Speaker 1: the world, so not just Catholicism. Um, so there's there's that.

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Speaker 1: There's my tidbit ongoing to a Catholic school. Yeah absolutely,

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Speaker 1: I think well I took a world religious class in

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Speaker 1: high school, but my the high school was nondenominational. It

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Speaker 1: was not religious. So that was interesting. It was interesting

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Speaker 1: to go from a hyper religious uh community to a

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Speaker 1: nondenominational community and then hear how non Catholics and non

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Speaker 1: Mexicans because I went to a very like Mexican Filipino

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Speaker 1: like Catholic church, right, so it's interesting to hear white

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Speaker 1: white people who were also not Catholics, like talking about Catholicism.

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Speaker 1: It was just like the other side of the you know,

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Speaker 1: the coin, and it was fascinating. Yeah, and you know,

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Speaker 1: I know that white Catholics exist, but I don't know

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Speaker 1: any of them. Like I know that they're out there,

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Speaker 1: but I don't know them because they're like Catholic lucky

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Speaker 1: or Latin eggs. Yeah, there are white Catholics, and I

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Speaker 1: I like straddle my childhood, we straddled between two churches.

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Speaker 1: So the first one there were white people that went

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Speaker 1: to that Catholic Church, and my mom used to be like, oh,

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Speaker 1: like this and that family, they're Opus Day and that's

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Speaker 1: like a like a very conservative sect, right, like a

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Speaker 1: subculture of Catholicism. And so they were the types of Catholics.

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Speaker 1: They were white people, and they had all these kids,

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Speaker 1: Like this family took up like two pews and they

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Speaker 1: had all these children and they would roll up in

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Speaker 1: these big white vans to carry their their litter and um.

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Speaker 1: There were the Catholics that were like hardcore and would

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Speaker 1: like cover their hair still to go to Mass, and

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Speaker 1: they didn't believe in contraceptives. And it was like so

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Speaker 1: the first church was very conservative and there were like

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Speaker 1: those types of hardcore like Opus Day white Catholics. It

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Speaker 1: was a lot. It's too much for me. And now

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Speaker 1: I don't even remember when Easter is. I've gone to extremes.

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Speaker 1: I've completely talked. The other day, I was like when

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Speaker 1: is Easter? I don't even know when sister is anymore?

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Speaker 1: Like the fuck really? And my mom was like, it's

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Speaker 1: next week. Fine, you don't even go to church, like

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Speaker 1: any opportunities. I know. We're also dreaming a lot of

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Speaker 1: people are reporting weird dreams and just like collectively sleep

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Speaker 1: patterns being off, and I know you had a dream

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Speaker 1: that you share with me, And then I'm going to

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Speaker 1: read a d M that my friend Nora sent me

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Speaker 1: from New York the same day as you told me

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Speaker 1: about your dream. Yeah, so I have been So I've

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Speaker 1: always dreamt very vividly and very intensely, but I've noticed

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Speaker 1: that the past couple of weeks. Of course, during this pandemic,

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Speaker 1: my dream state has shifted. So now my dream world

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Speaker 1: is about the coronavirus. So in my dream, my dream state,

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Speaker 1: I'm aware that there is a pandemic and that even

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Speaker 1: my dream self cannot live a normal life. Right. So

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Speaker 1: I had a dream that Malan nominated for an award

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Speaker 1: and Mala was like, I'm not gonna go because we're

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Speaker 1: supposed to be safer at home. We can't be out

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Speaker 1: in a fucking awards ceremony. So I was like, okay,

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Speaker 1: well I'll go, right, just for the both of us.

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Speaker 1: So I go, but the whole time I'm stressed out

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Speaker 1: about being there because I'm not supposed to be there.

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Speaker 1: And then we accept this, so what will we end up?

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Speaker 1: Winning this award? And I accept it, but I'm not

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Speaker 1: able to get in front of the curtains, like that

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Speaker 1: are at a theater. So I'm trying to get in

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Speaker 1: front of the curtains and I can't and I'm like

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Speaker 1: fighting through them, and I finally get through them, and

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Speaker 1: my hair is like all disheveled, and it appears that

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Speaker 1: I'm drunk. I'm not. I'm just stressed and I'm trying

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Speaker 1: to accept this award and I'm trying to thank thirty

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Speaker 1: nine for being down for us, but I'm like, you're

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Speaker 1: closed right now because of the craavirus. But shout out

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Speaker 1: to nine. It was like the most intense, real stressed dream,

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Speaker 1: you know. And I have stressed dreams often, and usually

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Speaker 1: I have them when I'm really tired and I'm not

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Speaker 1: dressing enough, and so it was just really really funny.

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Speaker 1: So immediately when I woke up, I had to text

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Speaker 1: Mama and be like, yeah, my subconscious trying to funk

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Speaker 1: with me. I love the specificity, Like that was a

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Speaker 1: real last dream, so like it could actually happen. Yeah,

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Speaker 1: that was a legitimate, like scenario. Yeah, so I got

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Speaker 1: at six party in the morning. Now, Nora's in New

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Speaker 1: York in Brooklyn. Shout out Nora and Um, I get

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Speaker 1: a d M from Nora at six thirty and then

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Speaker 1: you texted me later in the day or later in

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Speaker 1: the morning. Um. And so Nora says, I just woke

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Speaker 1: up from a dream where we were in college and

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Speaker 1: it was your day to present your project. You took

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Speaker 1: us all outside and started the lecture. Quote so the

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Speaker 1: song pop your Pussy? What is it saying? End quote?

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Speaker 1: Also everyone Also everyone was wearing ice skates because you

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Speaker 1: told us to come prepared with them. Anything with popping

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Speaker 1: your pussy and skates involved, I'm like, yeah, that's a

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Speaker 1: mala dream for sure. I'm sucking dead. If I were

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Speaker 1: like some type of an adult performer, I would definitely

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Speaker 1: do something involving pussy popping on roller skates. There's something

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Speaker 1: there that needs to be explored. There is something there.

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Speaker 1: You are you are a performer, so that you will

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Speaker 1: see how we can that happen. Basically, basically, I just

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Speaker 1: announced my next major like undertaking, so stay two yes,

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Speaker 1: so stay tuned, find it on the look, I thought

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Speaker 1: on Instagram. But speaking of right, So, the l A

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Speaker 1: Times did an article about how we're all having a collectively,

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Speaker 1: we're all having intense coronavirus dreams and how they're they're

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Speaker 1: actually doing sleep studies on this anyway, and we're turned today.

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Speaker 1: It's fine. Always I feel like we always do this

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Speaker 1: were every time it gets weird. Whatever, we're a chatter cast.

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Speaker 1: We're a chatter cast. We are, we really are. We

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Speaker 1: just say with that. You know, I'm okay with the

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Speaker 1: first half of our episodes being fun and lie but

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Speaker 1: also taking on the topics, and then the second half

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Speaker 1: being more journalistic interviewing, and I'm okay with that. I

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Speaker 1: agree with you, and I think that we should start

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Speaker 1: calling what we do journalism tv H like we're journalists.

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Speaker 1: We do interviews, we asked questions, journalism. Yeah, okay, it's true.

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Speaker 1: Again another please, we're journalists journalists us. So, something that

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Speaker 1: we did last week was we didn't id live and

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Speaker 1: we also cad You are anonymous film on id TV

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Speaker 1: and YouTube. You want to share Mala with our locomotives. Yeah, so,

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Speaker 1: lokif is anonymous. We've talked about it here and there.

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Speaker 1: We've shared like a short trailer. We shot a short film.

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Speaker 1: It's like eight minutes and change um in and it's

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Speaker 1: a cast and crew filled with local Latin X talent

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Speaker 1: that a lot of our listeners probably follow. We've got

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Speaker 1: Vanessa Romo, We've got Jen from the Block, Um Chava,

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Speaker 1: Jose Salvador Sanchez, Michelle Morrow, Hobby, Uh. You know, all

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Speaker 1: kinds of people that you probably see on the Gram

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Speaker 1: that you love, that you're friends with. We brought them

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Speaker 1: in for this project. DJ Zuri the Tropy got this,

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Speaker 1: Uh my sister. You know, I can go on and

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Speaker 1: on um so you can check out the full short film.

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Speaker 1: It's it's a science fiction short based in a fictional

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Speaker 1: post apocalyptic society called the Patrio Apocalypse, and we are

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Speaker 1: running a covert like fem defense operation and are broadcasting

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Speaker 1: a pirate radio show called Lucky Tha's Anonymous, and we're

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Speaker 1: we're in this radio station that we've built and we've

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Speaker 1: hidden under a nail salon called Nails. So that's the

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Speaker 1: basic premise. So go check it out, comment, like share,

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Speaker 1: let us know what you think. We want to do

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Speaker 1: more filming. Obviously now is not the time because we're

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Speaker 1: in a pandemic, but we hope to put out more

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Speaker 1: episodes and built on the story in the future. Yeah,

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Speaker 1: we're really excited to see this grow and you know,

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Speaker 1: hopefully make it episodic and so we followed dreaming. We

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Speaker 1: had a little bit of tech difficulties that we followed

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Speaker 1: the streaming the veeling with an id lie and so

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Speaker 1: that was my first time on I d Lie ever,

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Speaker 1: I've never done an id live before. And then Mala

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Speaker 1: didn't I do live after, So we ended up splitting

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Speaker 1: it up into I did like thirty forty minutes and

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Speaker 1: then Mala did another thirty forty minutes exactly. So because

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Speaker 1: of that, we will be on ID Live more frequently,

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Speaker 1: and we're going to be doing an Oye locas on

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Speaker 1: id live later this week. So, Mama, I know that

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Speaker 1: you've been working on journalistic pieces, So do you want

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Speaker 1: to share with our local what you've been working on,

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Speaker 1: what you've been reporting on? Yeah? Absolutely, so I um,

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Speaker 1: did I talk Did we talk about our zoom bomb

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Speaker 1: experience on an episode already? Did we already talk about it?

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Speaker 1: We haven't talked about the zoom bombing yet. Okay, So

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Speaker 1: are you sure tell them what happens? So Mola and

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Speaker 1: I were on a zoom workshop. So it was a

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Speaker 1: this journalist put together a workshop on how to pitch

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Speaker 1: to a publisher, and she sent out all we had

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Speaker 1: to do was sign up. She sends out a link.

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Speaker 1: So we joined, and there were about two hundred people

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Speaker 1: on the zoom call. And so one of the things

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Speaker 1: that she had us do in order to joined was

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Speaker 1: we had to mute ourselves and we had the option

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Speaker 1: of having our video on or off. But one of

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Speaker 1: the things that she did request is that everybody mute themselves.

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Speaker 1: So for the most part, everybody did. So when about

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Speaker 1: fifteen twenty minutes into her workshop, when we heard like

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Speaker 1: somebody talking, all of a sudden, we knew something was

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Speaker 1: off for someone was joining them maybe wasn't supposed to

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Speaker 1: be there. So this person started joined and they started

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Speaker 1: talking about their penis and they started, you know, this man,

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Speaker 1: of course a white man, started making all the sexually

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Speaker 1: explicit comments. And the next thing we know, um her

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Speaker 1: I perceived it as her screen getting hacked and they

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Speaker 1: started showing corn on doing workshop. I immediately exit it

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Speaker 1: out and I was like, fuck this, I'm done with this,

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Speaker 1: Like I don't I can't do this right. And so

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Speaker 1: Mama actually like at the fourth side, immediately like started

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Speaker 1: reporting what was going on on her phone. And so

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Speaker 1: do you want to share from your perspective what was happening. Yeah, Well,

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Speaker 1: first of all, it was super gross and just out

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Speaker 1: of nowhere, Like I didn't know what was happening, and

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Speaker 1: I had never heard of this before, so I like

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Speaker 1: record as much of it as I can. It's like

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Speaker 1: multiple it's like three or four young white men. And

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Speaker 1: I know this because they turned their cameras on and

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Speaker 1: showed their faces. Um, and they were wearing like hoodies

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Speaker 1: and sunglasses and bandanas. But they showed themselves and they

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Speaker 1: had like user names, so they have zoom accounts, I'm

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Speaker 1: assuming because they had like unique user names that that

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Speaker 1: that they had named themselves. And it was super gross.

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Speaker 1: And I immediately went and shared to my Instagram and

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Speaker 1: a bunch of mohead is responded and told me that

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Speaker 1: they had been in similar situations and that it's a

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00:27:02,520 --> 00:27:06,720
Speaker 1: thing called zoom bombing where pretty specifically, young white men,

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00:27:06,840 --> 00:27:13,960
Speaker 1: white supremacists hop into like zoom conference calls, video chats

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00:27:13,960 --> 00:27:20,159
Speaker 1: for distance learning, for workshops, for classes, for l A

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Speaker 1: City council meetings. You know, an l A City council meeting,

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Speaker 1: their very first remote l A City council meeting. They

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00:27:27,200 --> 00:27:30,800
Speaker 1: were receiving public comment. Um, they were zoom bombed. By

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00:27:30,840 --> 00:27:34,200
Speaker 1: like some guy who tried to share pornography. So anyways,

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Speaker 1: I post to my Instagram and all these people are

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00:27:36,560 --> 00:27:38,520
Speaker 1: telling me like they've been zoom bomb too. This is

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00:27:38,560 --> 00:27:41,040
Speaker 1: what it is, the same day that Yosa and I

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Speaker 1: were in that workshop that was zoom bomb. The exact

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Speaker 1: same day, Dolores whip Fat and Karen Bass, Um, we're

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Speaker 1: on a zoom call about ending child poverty in California

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Speaker 1: and uh finding funds in the COVID nineteen federal stimulus

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Speaker 1: package to like, you know, give children in needs. And

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Speaker 1: in the middle of Representative Karen Bass, who is the

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Speaker 1: chair of the Congressional Black Caucus, right as she begins speaking,

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Speaker 1: some random white guy starts, you know, screaming over her

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Speaker 1: and then takes over and does a screen share and

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Speaker 1: shows his bare bottom. He moons them, He moons Karen

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Speaker 1: Bass and deltas what the fuck? Like that's crazy. This

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00:28:24,920 --> 00:28:29,520
Speaker 1: is the ship that's happening. That's wild, and so like

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Speaker 1: my immediate thought was like, damn, even in our own

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Speaker 1: fucking homes, we can't even escape this ship. Tally, how

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Speaker 1: was my immedia god? Um, Yeah, because we've been talking

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Speaker 1: about you know, Mola and I internally how when we're

425
00:28:45,440 --> 00:28:50,360
Speaker 1: out because people are home, that the street harassment has

426
00:28:50,480 --> 00:28:53,960
Speaker 1: lessened in some ways, not entirely, but in some ways

427
00:28:54,080 --> 00:28:57,760
Speaker 1: it has lessons when we're outside walking our dogs. But

428
00:28:58,960 --> 00:29:02,000
Speaker 1: now there's another type of central harassment that we have

429
00:29:02,080 --> 00:29:05,560
Speaker 1: to deal with, which is called zoom bombing exactly. So

430
00:29:05,800 --> 00:29:10,479
Speaker 1: I I after after we had this experience. Right, this

431
00:29:10,600 --> 00:29:13,400
Speaker 1: was on a Thursday. It was like the of March

432
00:29:13,640 --> 00:29:15,480
Speaker 1: or something. So it's been a couple of weeks now

433
00:29:16,040 --> 00:29:18,360
Speaker 1: it was or was it last week? I don't even

434
00:29:18,400 --> 00:29:21,080
Speaker 1: know the time. Time is not a thing anymore. I

435
00:29:21,120 --> 00:29:25,880
Speaker 1: don't know what it was like. It was a Thursday,

436
00:29:26,040 --> 00:29:28,840
Speaker 1: it was like March, and so this happens that day

437
00:29:29,000 --> 00:29:32,480
Speaker 1: we have that experience WHEREA and bass aren't aren't a call,

438
00:29:32,520 --> 00:29:35,400
Speaker 1: they were zoom bomb Johan Omar was on a different

439
00:29:35,440 --> 00:29:38,920
Speaker 1: call that was zoom bombed. Um. I heard from Am

440
00:29:38,920 --> 00:29:43,800
Speaker 1: Ahead who was on a call with like church leaders

441
00:29:43,840 --> 00:29:47,200
Speaker 1: from El Salvador talking about you know, a st Oscar

442
00:29:47,320 --> 00:29:50,800
Speaker 1: Romero and they were zoom bombed by white supremacist. Because

443
00:29:50,840 --> 00:29:53,440
Speaker 1: the list goes on and on. So I interviewed, I

444
00:29:53,480 --> 00:29:55,760
Speaker 1: interviewed a ton of people, and I'm writing two different

445
00:29:55,840 --> 00:29:59,920
Speaker 1: articles about it one is for an online public ad

446
00:30:00,040 --> 00:30:03,840
Speaker 1: and called Prism, and I'm talking about the rape culture

447
00:30:03,840 --> 00:30:07,400
Speaker 1: and the sexual harassment of it all. And my argument

448
00:30:07,480 --> 00:30:10,920
Speaker 1: is basically that this is digital terrorism, and this is

449
00:30:11,000 --> 00:30:14,440
Speaker 1: just a type of This is just a facet of

450
00:30:14,520 --> 00:30:18,360
Speaker 1: digital terrorism that has been going taking place online for

451
00:30:18,480 --> 00:30:22,920
Speaker 1: literally decades now. Um, And I am basically saying that

452
00:30:23,000 --> 00:30:25,800
Speaker 1: tech companies need to do better at this point, like

453
00:30:25,840 --> 00:30:30,400
Speaker 1: they need to create all of their platforms with the knowledge,

454
00:30:30,640 --> 00:30:33,680
Speaker 1: analytics and understanding of the past twenty years that the

455
00:30:33,680 --> 00:30:38,880
Speaker 1: internet is a violent place, specifically for women and people

456
00:30:38,920 --> 00:30:42,120
Speaker 1: of color and disabled and pure folks. Like we know this.

457
00:30:42,120 --> 00:30:44,720
Speaker 1: This is not new, that's not a surprise. This is

458
00:30:44,840 --> 00:30:49,160
Speaker 1: part of a very long trajectory of white supremacist digital

459
00:30:49,240 --> 00:30:53,640
Speaker 1: terrorism is basically what this is. And so kind of

460
00:30:53,680 --> 00:30:58,480
Speaker 1: like when we use fun new terms for historically violent behavior,

461
00:30:58,600 --> 00:31:01,720
Speaker 1: like when we we talk about this this new thing

462
00:31:01,760 --> 00:31:05,760
Speaker 1: called stealthing, when really all it is is sexual assault, right,

463
00:31:06,000 --> 00:31:09,280
Speaker 1: like zoom bombing is just terrorism by another name, kind

464
00:31:09,280 --> 00:31:10,840
Speaker 1: of a thing, So let's call it what it is.

465
00:31:11,160 --> 00:31:13,120
Speaker 1: So look out for that article in Prism, And then

466
00:31:13,160 --> 00:31:15,719
Speaker 1: I'm also writing an article about it for Bitch Media

467
00:31:15,960 --> 00:31:20,760
Speaker 1: and that's more talking about specifically the white supremacy and

468
00:31:20,920 --> 00:31:25,160
Speaker 1: anti blackness, UM and anti semitism that we're seeing pretty

469
00:31:25,200 --> 00:31:28,560
Speaker 1: specifically in a lot of cases of zoom box. So

470
00:31:28,640 --> 00:31:31,560
Speaker 1: check those out all post links and those should be

471
00:31:31,600 --> 00:31:38,120
Speaker 1: coming out uh this week and next. Yes, so excited

472
00:31:38,160 --> 00:31:42,960
Speaker 1: to read. I'm really excited for you, thank you and

473
00:31:43,120 --> 00:31:48,000
Speaker 1: so timely and ry and like who better to about

474
00:31:48,040 --> 00:31:56,360
Speaker 1: you published? I appreciate that. So in two ways, that's

475
00:31:56,360 --> 00:32:01,240
Speaker 1: what we've been working on. And Uh, in the meantime,

476
00:32:01,640 --> 00:32:04,760
Speaker 1: we have a whole second half of this episode. This

477
00:32:04,840 --> 00:32:08,080
Speaker 1: already feels like a full last episode, but we have more, um,

478
00:32:08,120 --> 00:32:13,280
Speaker 1: a really exciting interview. I know we keep saying that

479
00:32:13,320 --> 00:32:16,320
Speaker 1: our intros are gonna be like fifteen twenty minutes, and

480
00:32:16,320 --> 00:32:20,600
Speaker 1: they end up being full last episodes. I know clearly

481
00:32:20,800 --> 00:32:27,800
Speaker 1: we want to give the people content anyway, So we're

482
00:32:27,800 --> 00:32:32,920
Speaker 1: going to introduce Yes, Mala, do you want to introduce her? Yes?

483
00:32:33,400 --> 00:32:37,680
Speaker 1: So I am so excited for this interview. Guest. Um.

484
00:32:38,040 --> 00:32:43,320
Speaker 1: Dr Marie J. Murphy is an emergency medicine resident physician

485
00:32:43,320 --> 00:32:46,880
Speaker 1: in Brooklyn, New York. She graduated from Tests University with

486
00:32:46,920 --> 00:32:50,960
Speaker 1: an undergraduate degree in International relations with a concentration in

487
00:32:51,000 --> 00:32:54,560
Speaker 1: global health and nutrition. During that time, she studied international

488
00:32:54,560 --> 00:32:57,640
Speaker 1: health at the University College London and completed research in

489
00:32:57,720 --> 00:33:01,400
Speaker 1: asthma at the Harvard School of pub Like Health. After that,

490
00:33:01,480 --> 00:33:04,960
Speaker 1: she earned her master's degree from Columbia UM at the

491
00:33:04,960 --> 00:33:09,200
Speaker 1: Mailman School of Public Health and Epidemiology while she was

492
00:33:09,240 --> 00:33:11,240
Speaker 1: working for the Department of Health and Mental Hygiene for

493
00:33:11,280 --> 00:33:13,640
Speaker 1: the City of New York. She has done work all

494
00:33:13,640 --> 00:33:17,120
Speaker 1: over the world, including Haiti, the Dominican Republic in India,

495
00:33:17,440 --> 00:33:20,960
Speaker 1: and in ten she graduated from medical school with her

496
00:33:21,120 --> 00:33:24,840
Speaker 1: m d. From Sunni Upstate College of Medicine, and she's

497
00:33:24,880 --> 00:33:28,440
Speaker 1: now in her residency in emergency medicine at a hospital

498
00:33:28,600 --> 00:33:31,960
Speaker 1: in Brooklyn, New York. She is in the middle of

499
00:33:32,000 --> 00:33:35,000
Speaker 1: the COVID nineteen pandemic. She is on the front lines,

500
00:33:35,520 --> 00:33:38,360
Speaker 1: and this interview is all about what she's seeing, what

501
00:33:38,400 --> 00:33:41,160
Speaker 1: communities of color are dealing with, and some of the

502
00:33:41,200 --> 00:33:47,040
Speaker 1: conditions that health care workers are dealing with. I love

503
00:33:47,160 --> 00:33:49,960
Speaker 1: this girl. MJ is my friend from college. We lived

504
00:33:50,000 --> 00:33:53,480
Speaker 1: together my sophomore year in La Caasa, Latina. She's a

505
00:33:53,480 --> 00:33:56,560
Speaker 1: bad bitch, she's a genius. She's very accomplished, and I'm

506
00:33:56,600 --> 00:34:00,960
Speaker 1: so proud of her to see her from college student

507
00:34:01,280 --> 00:34:04,240
Speaker 1: and us just like living our best lives to now

508
00:34:04,320 --> 00:34:07,480
Speaker 1: her literally being a hero in the midst of this

509
00:34:08,320 --> 00:34:10,560
Speaker 1: VISI global crisis and she's in the middle of it all.

510
00:34:10,640 --> 00:34:13,960
Speaker 1: So uh yeah, So we're gonna take a tiny break

511
00:34:14,080 --> 00:34:24,440
Speaker 1: and then stay tuned for Dr Murphy. We love radio radio.

512
00:34:24,920 --> 00:34:28,960
Speaker 1: And we're back from our break with Dr Murphy. MJ

513
00:34:29,200 --> 00:34:33,960
Speaker 1: my friend from college who is frontline healthcare worker worker,

514
00:34:34,480 --> 00:34:38,800
Speaker 1: a resident m D resident doctor doctor in residence UM

515
00:34:38,840 --> 00:34:42,080
Speaker 1: in a hospital in New York, the epicenter of the

516
00:34:42,160 --> 00:34:46,160
Speaker 1: COVID nineteen pandemic in the United States currently UM. Today's

517
00:34:46,200 --> 00:34:52,200
Speaker 1: April one of and uh m J, thank you so

518
00:34:52,280 --> 00:34:54,120
Speaker 1: much for coming on to look at to talk to

519
00:34:54,200 --> 00:34:58,799
Speaker 1: us today. Can you introduce yourself our listeners. Yeah, I'm

520
00:34:58,840 --> 00:35:02,680
Speaker 1: so excited to be here. Thanks guys. UM. Yeah, my

521
00:35:02,760 --> 00:35:07,600
Speaker 1: name is Amy Murphy. Uh. Like Mala said, I'm empty

522
00:35:07,719 --> 00:35:12,719
Speaker 1: resident position an emergency medicine in Brooklyn, New York. And yeah,

523
00:35:13,160 --> 00:35:16,480
Speaker 1: I've been seeing a lot of patients who UM are

524
00:35:16,520 --> 00:35:21,319
Speaker 1: coming in with COVID COVID positive UM and we're just

525
00:35:21,360 --> 00:35:25,680
Speaker 1: trying to like the best we can. Right now, you're

526
00:35:25,680 --> 00:35:28,680
Speaker 1: gonna go to work tonight and start your shift because

527
00:35:28,680 --> 00:35:31,040
Speaker 1: you work the night shifts. So after this interview with

528
00:35:31,200 --> 00:35:35,520
Speaker 1: us with look, you're going to head to the hospital. Yeah.

529
00:35:35,680 --> 00:35:39,719
Speaker 1: So our schedules vary, so like one week you might

530
00:35:39,760 --> 00:35:41,359
Speaker 1: be on nights and then the next week you might

531
00:35:41,400 --> 00:35:43,680
Speaker 1: be on days. They put your night shifts together so

532
00:35:43,719 --> 00:35:47,520
Speaker 1: you're not switching back and forth a lot, which is great. UM.

533
00:35:47,880 --> 00:35:51,160
Speaker 1: And yeah, you work a lot of hours, especially like

534
00:35:51,600 --> 00:35:55,000
Speaker 1: this time, there's so many patients and UM, there's some

535
00:35:55,040 --> 00:35:57,879
Speaker 1: people who are like staying later UM just to make

536
00:35:57,880 --> 00:35:59,920
Speaker 1: sure that everything, you know, was wrapped up with the

537
00:36:00,080 --> 00:36:02,560
Speaker 1: patients more so than usual, which is something that people

538
00:36:02,840 --> 00:36:06,000
Speaker 1: usually do. But on top of that, with everything going on,

539
00:36:06,400 --> 00:36:10,879
Speaker 1: everyone feels like an extra responsibility to help out more

540
00:36:10,920 --> 00:36:15,959
Speaker 1: than usual, UM, which is great myself included. UM. It's

541
00:36:16,040 --> 00:36:21,239
Speaker 1: it's been very difficult for a lot of people, especially

542
00:36:22,120 --> 00:36:25,480
Speaker 1: like residents and attendings UM sending so are the physicians

543
00:36:25,480 --> 00:36:30,680
Speaker 1: who supervise the residents UM, because it's hard people who

544
00:36:30,760 --> 00:36:34,759
Speaker 1: aren't able to see their families as much because you're

545
00:36:34,760 --> 00:36:38,240
Speaker 1: exposed all the time. Even with all the personal productive

546
00:36:38,239 --> 00:36:42,280
Speaker 1: equipment that we are required to wear, UM, you're still

547
00:36:42,320 --> 00:36:44,560
Speaker 1: putting yourself in a position where you're exposed to the

548
00:36:44,640 --> 00:36:49,480
Speaker 1: virus with multiple like positive patients and so going home,

549
00:36:49,600 --> 00:36:51,799
Speaker 1: especially people who have like young kids, like I don't

550
00:36:51,800 --> 00:36:55,120
Speaker 1: have children, but there's a lot of people who do. UM.

551
00:36:55,160 --> 00:36:58,160
Speaker 1: It's very hard for them to know that they're bringing,

552
00:36:58,640 --> 00:37:03,239
Speaker 1: you know, passively exposing their family members to you know,

553
00:37:03,360 --> 00:37:09,040
Speaker 1: this horrific disease virus. I think, UM, for a lot

554
00:37:09,080 --> 00:37:12,160
Speaker 1: of us that are on Twitter, especially, we're seeing a

555
00:37:12,160 --> 00:37:15,560
Speaker 1: lot of different information from doctors and nurses that are

556
00:37:15,880 --> 00:37:18,719
Speaker 1: working at the hospitals in New York. UM, So I

557
00:37:18,719 --> 00:37:22,080
Speaker 1: would love to hear your experience thus far. I think

558
00:37:22,080 --> 00:37:24,880
Speaker 1: that it's it's really hard, especially right now, to separate

559
00:37:24,920 --> 00:37:28,680
Speaker 1: those two things. Like we would love to UM just

560
00:37:28,840 --> 00:37:33,920
Speaker 1: because residency in general is a very time consuming time

561
00:37:34,040 --> 00:37:37,279
Speaker 1: for a physician. Like in your life, UM, you work

562
00:37:37,320 --> 00:37:40,040
Speaker 1: a lot of hours, you're in the hospital a lot.

563
00:37:40,200 --> 00:37:43,920
Speaker 1: Actually we're originally called residents because we would sleep in

564
00:37:43,960 --> 00:37:46,600
Speaker 1: the hospital and literally live in the hospital back in

565
00:37:46,640 --> 00:37:50,360
Speaker 1: the day, and so like we work like eighty hours

566
00:37:50,360 --> 00:37:53,279
Speaker 1: a week, sixty eighty hours a week. UM, So it's

567
00:37:53,360 --> 00:37:55,960
Speaker 1: very time consuming in your life almost feels like your

568
00:37:56,080 --> 00:38:02,719
Speaker 1: jobs of times, and especially now UM. Like what we're

569
00:38:02,719 --> 00:38:07,759
Speaker 1: seeing is so many patients to especially like I work

570
00:38:07,800 --> 00:38:11,400
Speaker 1: in a community that's a lot of like Alphro Caribbean people,

571
00:38:12,080 --> 00:38:17,920
Speaker 1: and they already have like these baseline commorbidities like hypertension, diabetes,

572
00:38:18,080 --> 00:38:22,160
Speaker 1: high cholesterol, COPD from smoking and all these other things

573
00:38:22,440 --> 00:38:27,520
Speaker 1: that already make them really highly susceptible to UM, you know,

574
00:38:27,640 --> 00:38:32,960
Speaker 1: this virus. And the problem is trying to separate that out.

575
00:38:32,960 --> 00:38:35,439
Speaker 1: For myself, it's really hard because you see, like these

576
00:38:35,440 --> 00:38:37,880
Speaker 1: other early patients come in and it could very easily

577
00:38:38,000 --> 00:38:41,279
Speaker 1: like be my grandmother, my you know, grandfather, and my

578
00:38:41,440 --> 00:38:45,560
Speaker 1: parents UM, and it's hard to like you know, emotionally

579
00:38:45,600 --> 00:38:49,680
Speaker 1: separate that UM. And on a regular basis, like in

580
00:38:49,719 --> 00:38:53,319
Speaker 1: the e er, like, people get sick, people die, Like

581
00:38:53,400 --> 00:38:56,200
Speaker 1: it's just a it's a nature of the work that

582
00:38:56,239 --> 00:38:59,319
Speaker 1: we do. But I think what's more difficult during this

583
00:38:59,440 --> 00:39:02,879
Speaker 1: time is two different things, like one feeling like like

584
00:39:03,040 --> 00:39:06,560
Speaker 1: we don't actually have a really good understanding of the

585
00:39:06,680 --> 00:39:10,040
Speaker 1: disease and how to treat it. UM. There isn't a

586
00:39:10,040 --> 00:39:14,360
Speaker 1: lot of evidence out there right now about how effective

587
00:39:14,360 --> 00:39:18,760
Speaker 1: ways to treat UM coronavirus or COVID nineteen and that's

588
00:39:18,800 --> 00:39:22,879
Speaker 1: really limiting and it's heartbreaking and then too as well,

589
00:39:23,000 --> 00:39:26,640
Speaker 1: like we're seeing a lot of patients that are coming

590
00:39:26,680 --> 00:39:31,000
Speaker 1: in at the end stages, UM, like they're very short

591
00:39:31,000 --> 00:39:33,799
Speaker 1: of breath. We're unable to get their oxygen saturation up,

592
00:39:33,840 --> 00:39:37,560
Speaker 1: and it's it's really heartbreaking because you're kind of like

593
00:39:37,640 --> 00:39:40,680
Speaker 1: watching so many people pass away from this on a

594
00:39:40,760 --> 00:39:45,840
Speaker 1: daily basis that it's it's hard to watch, you know, UM,

595
00:39:46,000 --> 00:39:49,920
Speaker 1: because you feel almost very powerless. UM. I mean we're

596
00:39:49,920 --> 00:39:52,319
Speaker 1: trying the best that we can, and we're supporting people

597
00:39:52,320 --> 00:39:54,799
Speaker 1: as much as you can, but I mean it's hard,

598
00:39:54,840 --> 00:39:58,319
Speaker 1: like visitors aren't allowed in the hospitals, UM, Families are

599
00:39:58,360 --> 00:40:01,080
Speaker 1: trying to call and you we try to give as

600
00:40:01,160 --> 00:40:04,000
Speaker 1: much information as we can over the phone without breaking laws.

601
00:40:04,040 --> 00:40:07,879
Speaker 1: But you know, it's just a time where people are

602
00:40:08,160 --> 00:40:11,879
Speaker 1: sending their family members often to you ambulances, and then

603
00:40:11,920 --> 00:40:13,759
Speaker 1: they're not allowed to come to the hospital. And then

604
00:40:13,800 --> 00:40:16,399
Speaker 1: these patients are passing away and they're not seeing them

605
00:40:16,480 --> 00:40:20,560
Speaker 1: before they die, and it's really it's really like heartbreaking

606
00:40:20,600 --> 00:40:24,879
Speaker 1: to watch. But also like if I put my position, UM,

607
00:40:24,920 --> 00:40:27,719
Speaker 1: if I was a family member like that is you

608
00:40:27,800 --> 00:40:30,600
Speaker 1: know something that I wouldn't want to go through and

609
00:40:30,640 --> 00:40:33,479
Speaker 1: then on top of that, like in communities of color,

610
00:40:33,640 --> 00:40:36,400
Speaker 1: to having like these huge families that want to come

611
00:40:36,440 --> 00:40:38,880
Speaker 1: into the hospital and see like their grandmother, like the

612
00:40:38,960 --> 00:40:41,560
Speaker 1: matriarch or the patriarch of the family, and like you

613
00:40:41,600 --> 00:40:45,160
Speaker 1: can't and they're calling and they can't see them. And

614
00:40:45,200 --> 00:40:47,719
Speaker 1: also it's just like it's a it's a lot on

615
00:40:47,760 --> 00:40:50,360
Speaker 1: a daily basis, you know, more so than what we

616
00:40:50,440 --> 00:40:54,640
Speaker 1: typically see in the er UM because just also like

617
00:40:54,760 --> 00:40:58,160
Speaker 1: resources and there's so many there's only so many treatments

618
00:40:58,160 --> 00:41:02,520
Speaker 1: that are able to keep bowl at bay and UM

619
00:41:02,760 --> 00:41:05,920
Speaker 1: like oxygen tanks and c PAP machines, by PAP machines,

620
00:41:05,960 --> 00:41:08,800
Speaker 1: like we only have so many of them. We don't

621
00:41:08,840 --> 00:41:13,720
Speaker 1: have enough to support as many people that we're seeing.

622
00:41:14,400 --> 00:41:17,200
Speaker 1: So you know, there's only so much we can do.

623
00:41:17,480 --> 00:41:20,440
Speaker 1: And I think that feeling UM kind of makes it

624
00:41:20,440 --> 00:41:24,319
Speaker 1: really personal for me and I know for a lot

625
00:41:24,360 --> 00:41:32,240
Speaker 1: of other people working. Yeah, thank you for describing those

626
00:41:32,360 --> 00:41:37,040
Speaker 1: like really terrifying conditions that you're working in and that

627
00:41:37,160 --> 00:41:41,640
Speaker 1: people in New York are living through. UM. So you

628
00:41:41,719 --> 00:41:46,440
Speaker 1: mentioned at the beginning the personal Protective Equipment the PPE,

629
00:41:46,800 --> 00:41:51,399
Speaker 1: and like as a civilian in my house, a lot

630
00:41:51,440 --> 00:41:54,280
Speaker 1: of the news that I'm seeing is talking about shortages

631
00:41:54,320 --> 00:41:57,439
Speaker 1: of PPE, and what is the situation there at your

632
00:41:57,520 --> 00:42:01,480
Speaker 1: hospital UM and practice single emergency medicine. What is the

633
00:42:01,520 --> 00:42:07,120
Speaker 1: availability of PPE to you? That's a great question. I

634
00:42:07,160 --> 00:42:10,520
Speaker 1: think that nationally we definitely have a shortage. We were

635
00:42:10,600 --> 00:42:16,320
Speaker 1: not at all prepared for this, UM even a little bit. UM.

636
00:42:17,239 --> 00:42:20,280
Speaker 1: We are always open to donations, especially in my hospital,

637
00:42:20,360 --> 00:42:24,160
Speaker 1: Like we have UM a contact person that if anyone

638
00:42:24,360 --> 00:42:28,440
Speaker 1: has donations, they can email them UM, which has been

639
00:42:28,600 --> 00:42:33,520
Speaker 1: very very helpful. UM. It's hard because we don't really

640
00:42:33,520 --> 00:42:36,560
Speaker 1: have a great understanding of the disease right now. We

641
00:42:36,600 --> 00:42:39,360
Speaker 1: believe it's like respiratory droplets, but like if it's airborne,

642
00:42:39,480 --> 00:42:42,839
Speaker 1: like you know, different that requires a different level of PPE.

643
00:42:43,000 --> 00:42:47,480
Speaker 1: They're definitely shortages. They're definitely like more of a need

644
00:42:47,680 --> 00:42:50,680
Speaker 1: than there is a supply UM. But what I can

645
00:42:50,719 --> 00:42:54,839
Speaker 1: say is that like people have been very like very

646
00:42:54,880 --> 00:42:58,719
Speaker 1: aware of that fact, and they're donating like crazy, which

647
00:42:58,760 --> 00:43:03,240
Speaker 1: is super helpful, super needed, and like not only PPE,

648
00:43:03,400 --> 00:43:07,960
Speaker 1: but also just especially at my hospital, they've you know

649
00:43:08,320 --> 00:43:12,080
Speaker 1: dropped off coffee or you know food or just like

650
00:43:12,520 --> 00:43:15,360
Speaker 1: anything that can physically help, but also like keep up

651
00:43:15,400 --> 00:43:18,400
Speaker 1: morale because I think that's another important thing that people

652
00:43:18,440 --> 00:43:22,880
Speaker 1: aren't um seeing as much. Yeah, there's the ppe problem,

653
00:43:22,960 --> 00:43:25,680
Speaker 1: which is you know, hidden behind a lot of like

654
00:43:25,960 --> 00:43:30,480
Speaker 1: bureaucracy and a lot of governmental like issues that are

655
00:43:31,280 --> 00:43:34,560
Speaker 1: you know, causing it to become a bigger problem than

656
00:43:34,600 --> 00:43:39,040
Speaker 1: what it should have been originally. UM. But I think

657
00:43:39,080 --> 00:43:42,520
Speaker 1: a lot of support that healthcare workers need is also

658
00:43:42,680 --> 00:43:46,680
Speaker 1: just like a lot of mental health UM support because

659
00:43:46,920 --> 00:43:49,480
Speaker 1: right now it's a really difficult time. What ends up

660
00:43:49,520 --> 00:43:51,160
Speaker 1: happening is like, at least for me, like I go

661
00:43:51,200 --> 00:43:53,200
Speaker 1: to work and then I come home, I go back

662
00:43:53,239 --> 00:43:55,000
Speaker 1: to work, I come home, Like there's not a lot

663
00:43:55,040 --> 00:43:58,799
Speaker 1: of space for decompression um or to talk about really

664
00:43:58,800 --> 00:44:03,960
Speaker 1: what's happening um, emotionally and mentally for a lot of

665
00:44:03,960 --> 00:44:07,040
Speaker 1: people who have to deal with this every day. UM.

666
00:44:07,120 --> 00:44:09,719
Speaker 1: And so in addition to just the resources that we

667
00:44:09,760 --> 00:44:13,400
Speaker 1: need in terms of like protective equipment, it's also the

668
00:44:13,560 --> 00:44:16,560
Speaker 1: like you know, counseling and the talking because we don't

669
00:44:16,600 --> 00:44:20,960
Speaker 1: we don't have a lot of time, right So UM

670
00:44:21,040 --> 00:44:25,480
Speaker 1: it's it's almost it's I would say it's equally as important,

671
00:44:26,000 --> 00:44:28,880
Speaker 1: UM also really as important as having you know, that

672
00:44:28,960 --> 00:44:32,799
Speaker 1: protection while you're at work um, because we're gonna see

673
00:44:32,840 --> 00:44:35,640
Speaker 1: a lot of like PTSD after this. It's very traumatic,

674
00:44:36,480 --> 00:44:39,000
Speaker 1: very very traumatic. And for the people who are working

675
00:44:39,000 --> 00:44:43,279
Speaker 1: in this this environment, um, they're going to need a

676
00:44:43,280 --> 00:44:46,960
Speaker 1: lot of time to decompress, especially since I mean, I've

677
00:44:46,960 --> 00:44:49,680
Speaker 1: been really grateful because the people that I work with

678
00:44:49,760 --> 00:44:55,279
Speaker 1: are extremely dedicated, extremely just humble and just like incredible

679
00:44:55,320 --> 00:44:59,880
Speaker 1: people like who are sacrificing so much to just be

680
00:45:00,120 --> 00:45:03,080
Speaker 1: here for strangers and to do what they can, like

681
00:45:03,160 --> 00:45:07,160
Speaker 1: going twelve hour shifts without eating, without drinking, without like stopping,

682
00:45:07,200 --> 00:45:11,239
Speaker 1: without pausing, um, you know, without taking off masks. Like

683
00:45:11,280 --> 00:45:15,800
Speaker 1: your masks are suffocating, Like they're really like difficult to

684
00:45:15,840 --> 00:45:18,000
Speaker 1: breathe in, but you don't want to risk taking it

685
00:45:18,080 --> 00:45:20,799
Speaker 1: off because you don't want, you know, to risk you know,

686
00:45:20,880 --> 00:45:24,319
Speaker 1: contracting something. But at the same time, it's like it's stifling,

687
00:45:24,440 --> 00:45:27,080
Speaker 1: like for twelve or ten to twelve hours however many

688
00:45:27,080 --> 00:45:31,319
Speaker 1: hours that you're working, um, to just have this have

689
00:45:31,440 --> 00:45:34,320
Speaker 1: this gear on, whether you're wearing like a face mask

690
00:45:34,400 --> 00:45:37,600
Speaker 1: or you're wearing like a protective ice shield and you know,

691
00:45:37,680 --> 00:45:40,640
Speaker 1: these covers over our scrubs and stuff like that. It's

692
00:45:40,680 --> 00:45:45,200
Speaker 1: just it's really hot. It's it's it's a lot for anybody,

693
00:45:45,320 --> 00:45:47,359
Speaker 1: and there's a lot of people who are doing it

694
00:45:47,400 --> 00:45:50,719
Speaker 1: without complaining and just showing up and doing what they can.

695
00:45:51,520 --> 00:45:55,919
Speaker 1: UM for literally complete strangers like these patients that come

696
00:45:55,920 --> 00:46:00,120
Speaker 1: in who are just the most vulnerable people UM in

697
00:46:00,160 --> 00:46:03,120
Speaker 1: the city, especially like where I work, and I just

698
00:46:03,800 --> 00:46:10,480
Speaker 1: I'm just like in awe of them every single day. UM. Totally. Yeah,

699
00:46:10,920 --> 00:46:13,879
Speaker 1: I'm thanks for sharing all of that. Earlier, you were

700
00:46:13,880 --> 00:46:16,239
Speaker 1: talking about morale, and that was actually gonna be one

701
00:46:16,239 --> 00:46:19,520
Speaker 1: of my questions for you. UM was like, how are you,

702
00:46:19,600 --> 00:46:23,200
Speaker 1: like MJ, you know, taking care of yourself on the

703
00:46:23,200 --> 00:46:25,960
Speaker 1: physical and spiritual level. But what it sounds like is

704
00:46:26,000 --> 00:46:29,520
Speaker 1: you don't even have the time to decompress or to

705
00:46:29,640 --> 00:46:32,560
Speaker 1: even do any of like these rituals of self care

706
00:46:32,640 --> 00:46:34,640
Speaker 1: that you may have done in the past. So do

707
00:46:34,680 --> 00:46:36,920
Speaker 1: you feel like is that true? Like you do you

708
00:46:37,040 --> 00:46:39,600
Speaker 1: really don't have the time to like do any type

709
00:46:39,640 --> 00:46:45,239
Speaker 1: of spiritual mental like emotional decompressed time or how is

710
00:46:45,280 --> 00:46:50,040
Speaker 1: that for you? Um? So a lot of candles, a

711
00:46:50,080 --> 00:46:54,760
Speaker 1: lot of candles. I've been lighting a lot of candles

712
00:46:55,000 --> 00:46:57,880
Speaker 1: and just like letting me a roma just like you know,

713
00:46:58,239 --> 00:47:02,120
Speaker 1: still the air. UM. But seriously though, Like I'll go

714
00:47:02,200 --> 00:47:05,160
Speaker 1: a couple of days without kind of thinking about it

715
00:47:05,200 --> 00:47:07,959
Speaker 1: because you're just kind of going, going, going, going going,

716
00:47:08,040 --> 00:47:10,480
Speaker 1: And then when I get a day off, for like

717
00:47:10,520 --> 00:47:14,760
Speaker 1: two days off, um, I really like decompress and try

718
00:47:15,080 --> 00:47:19,040
Speaker 1: try my best to have some sense of normalcy. Um.

719
00:47:19,080 --> 00:47:22,200
Speaker 1: Like the other day, I went and visited my mother, um,

720
00:47:22,400 --> 00:47:24,600
Speaker 1: and it was kind of it was kind of weird.

721
00:47:24,640 --> 00:47:26,400
Speaker 1: Like I walked in the house and she like sprayed

722
00:47:26,440 --> 00:47:30,920
Speaker 1: my shoes with bleach and like other stuff. And I

723
00:47:30,960 --> 00:47:32,680
Speaker 1: love her to death and I'm so glad she's like

724
00:47:32,719 --> 00:47:36,840
Speaker 1: protecting herself and stuff. But you know, it was it

725
00:47:36,960 --> 00:47:39,520
Speaker 1: was just so weird because it was just like, this

726
00:47:39,560 --> 00:47:41,480
Speaker 1: is what's happening, Like for the first time when I

727
00:47:41,560 --> 00:47:44,200
Speaker 1: left the hospital, Like I know what's happening in the hospital,

728
00:47:44,280 --> 00:47:48,960
Speaker 1: but I went to go grocery shopping, and oh my god,

729
00:47:49,160 --> 00:47:51,200
Speaker 1: I was like, is this what's been happening in the

730
00:47:51,239 --> 00:47:54,640
Speaker 1: outside world? Like this is crazy. Like I was in

731
00:47:54,680 --> 00:47:58,520
Speaker 1: line like texting my parents, like there's so many everyone's

732
00:47:58,520 --> 00:48:02,120
Speaker 1: wearing masks and glove, but then they're touching their faces

733
00:48:02,200 --> 00:48:05,480
Speaker 1: and also the part and also everything, I'm so confused,

734
00:48:05,600 --> 00:48:08,239
Speaker 1: what's happening? Right now, and then like somebody got into

735
00:48:08,280 --> 00:48:11,400
Speaker 1: a fight in line. I was standing in line and

736
00:48:11,440 --> 00:48:14,760
Speaker 1: somebody was like getting into a fight over like their place,

737
00:48:15,000 --> 00:48:17,279
Speaker 1: and then this guy got upset about Derrito's. I was

738
00:48:17,360 --> 00:48:20,360
Speaker 1: just like so confused, like what is happening in the

739
00:48:20,360 --> 00:48:24,839
Speaker 1: rest of the world right now? And yeah, and so

740
00:48:24,880 --> 00:48:27,680
Speaker 1: like I for that reason, I try to, like well,

741
00:48:27,719 --> 00:48:30,600
Speaker 1: and also like social distance distancing. I try to like

742
00:48:30,960 --> 00:48:33,640
Speaker 1: you know, say to myself as much as as much

743
00:48:33,640 --> 00:48:37,440
Speaker 1: as possible, but without like compromising my mental health. I'm

744
00:48:37,480 --> 00:48:40,399
Speaker 1: a very like social person. I like, you know, being

745
00:48:40,440 --> 00:48:43,319
Speaker 1: around other people and so like, at least for me,

746
00:48:43,400 --> 00:48:48,320
Speaker 1: it's kind of been hard in that respect. Um especially

747
00:48:48,320 --> 00:48:50,000
Speaker 1: like New York. Like the thing to do in New

748
00:48:50,080 --> 00:48:53,160
Speaker 1: York is to go out and like you know, seeing

749
00:48:53,160 --> 00:48:56,360
Speaker 1: people and do things, and so like seeing the trains

750
00:48:56,480 --> 00:48:59,400
Speaker 1: empty and like seeing you know, the streets empty is

751
00:48:59,480 --> 00:49:03,440
Speaker 1: so surreal. It's so like post apocalyptic, you know, like

752
00:49:03,640 --> 00:49:09,440
Speaker 1: our movie. Um So that's definitely straight Jay. As long

753
00:49:09,480 --> 00:49:11,759
Speaker 1: as I've known you, like you are so such a

754
00:49:11,880 --> 00:49:16,600
Speaker 1: such social butterfly, Like you're always somewhere with somebody doing something,

755
00:49:16,640 --> 00:49:19,520
Speaker 1: like you're always on the move. They definitely can hear

756
00:49:19,640 --> 00:49:23,520
Speaker 1: how that's like a huge shift for you. Um, and

757
00:49:23,600 --> 00:49:26,840
Speaker 1: it's hard, right because it's like this, we had a

758
00:49:26,880 --> 00:49:33,120
Speaker 1: way of life and now we don't. We don't have

759
00:49:33,160 --> 00:49:36,120
Speaker 1: a way of life anymore, right, Like one of my

760
00:49:36,200 --> 00:49:40,400
Speaker 1: hot is to travel like rightm like gone, Like I

761
00:49:40,440 --> 00:49:43,120
Speaker 1: have a two coming up that I've been waiting like

762
00:49:43,280 --> 00:49:49,120
Speaker 1: months for, Like I can't go anywhere right right right?

763
00:49:49,200 --> 00:49:51,439
Speaker 1: And do you live alone m J if you don't

764
00:49:51,440 --> 00:49:54,000
Speaker 1: mind me asking? Or do you have roommates? I do

765
00:49:54,080 --> 00:49:57,680
Speaker 1: live alone, I while my dog, but I do have

766
00:49:57,680 --> 00:50:00,960
Speaker 1: an apartment on my own. Yes, yeah, yes, I'm with

767
00:50:02,200 --> 00:50:05,640
Speaker 1: I'm with Papa's here, and it's like being alone alone

768
00:50:05,760 --> 00:50:15,359
Speaker 1: like in quarantine is some other ship there's it's like

769
00:50:15,400 --> 00:50:20,960
Speaker 1: my dog and my cookie though, Like yeah, exactly. Um,

770
00:50:21,120 --> 00:50:23,239
Speaker 1: do you have any like I've been asking some of

771
00:50:23,280 --> 00:50:26,920
Speaker 1: my friends, like are you like eating anything like special

772
00:50:27,000 --> 00:50:31,839
Speaker 1: like specific to like quarantine, Like do you have quarantine foods?

773
00:50:31,880 --> 00:50:34,960
Speaker 1: Like something new that like you're making, or something new

774
00:50:35,000 --> 00:50:37,440
Speaker 1: that you're trying, or just like a snack that you're

775
00:50:37,440 --> 00:50:43,840
Speaker 1: craving because you can't get it totally fair quarantine snacks?

776
00:50:43,880 --> 00:50:48,719
Speaker 1: Oh my god, I've just generally just been more unhealthy

777
00:50:48,880 --> 00:50:54,280
Speaker 1: the past couple of weeks. Um. Um. I think before

778
00:50:54,480 --> 00:50:57,040
Speaker 1: like I was trying to do this, like you know,

779
00:50:57,120 --> 00:50:59,920
Speaker 1: I was trying like Keto for a while, and then

780
00:51:00,080 --> 00:51:01,879
Speaker 1: like I was switching all of like I'm a rice

781
00:51:01,920 --> 00:51:03,799
Speaker 1: and beans girl, so I was switching all my rice

782
00:51:03,840 --> 00:51:07,120
Speaker 1: to cauliflower rice, and like I was really trying to

783
00:51:07,160 --> 00:51:10,680
Speaker 1: make an effort, and then like so hard and it's

784
00:51:10,719 --> 00:51:16,760
Speaker 1: hardliflower rice does not taste like rice. It's like like cauliflower.

785
00:51:20,680 --> 00:51:25,920
Speaker 1: It's not right. Um. And that like, uh so at work,

786
00:51:26,160 --> 00:51:29,480
Speaker 1: like people have been so kind, like like places in

787
00:51:29,520 --> 00:51:32,000
Speaker 1: New York have been donating like pizza and stuff like that,

788
00:51:32,040 --> 00:51:36,839
Speaker 1: but like eating pizza all the time is also not good. Um.

789
00:51:36,880 --> 00:51:39,160
Speaker 1: But as far as like quarantine snacks, I think I've

790
00:51:39,200 --> 00:51:43,360
Speaker 1: been getting by on like white teddar popcorn, um, eating

791
00:51:43,400 --> 00:51:49,200
Speaker 1: it in unhealthy amounts. Um. Yeah, I've been definitely consuming

792
00:51:49,640 --> 00:51:52,040
Speaker 1: that more than I should. But at least it's not

793
00:51:52,120 --> 00:51:56,400
Speaker 1: like you know that unhealthy. Um. I think less so

794
00:51:56,600 --> 00:51:59,720
Speaker 1: the food. I think the quantity that I've been eating

795
00:52:00,400 --> 00:52:03,799
Speaker 1: has been a lot more than a normally eat um.

796
00:52:04,000 --> 00:52:09,319
Speaker 1: And so that's probably where I'm going wrong. Um. It's

797
00:52:09,360 --> 00:52:14,520
Speaker 1: like it's like when we can't go anywhere. Um, eating

798
00:52:14,640 --> 00:52:17,879
Speaker 1: is something to do. It's hard to self regulate when

799
00:52:17,880 --> 00:52:22,920
Speaker 1: you're indoors like all day. Yeah, I'm trying to like

800
00:52:23,000 --> 00:52:26,040
Speaker 1: increment my like eating breakfast, eating all my meals and

801
00:52:26,080 --> 00:52:29,080
Speaker 1: snacking in in shifts so that I'm like aware of

802
00:52:29,120 --> 00:52:31,600
Speaker 1: how often I'm doing it, you know. So it's like

803
00:52:31,640 --> 00:52:34,160
Speaker 1: I have my breakfast hour, okay, so I can have

804
00:52:34,239 --> 00:52:36,240
Speaker 1: lunch at like one, and if I want to snack

805
00:52:36,239 --> 00:52:38,640
Speaker 1: in between, I can't, you know. So I'm like doing

806
00:52:38,680 --> 00:52:40,880
Speaker 1: it that way to just try and be mindful of

807
00:52:40,880 --> 00:52:44,640
Speaker 1: what I'm consuming. Yeah, I'm kind of just like grazing,

808
00:52:45,200 --> 00:52:57,760
Speaker 1: like I'm constantly. Yeah. I had a bag of popcorn

809
00:52:57,800 --> 00:53:00,200
Speaker 1: and then I left in my room and it was

810
00:53:00,239 --> 00:53:03,640
Speaker 1: like a family size like white cheddar popcorn. Right. I

811
00:53:03,680 --> 00:53:05,359
Speaker 1: go to work, I come back in the morning and

812
00:53:05,440 --> 00:53:07,959
Speaker 1: my dog, I'm bin kidding, is like in the living

813
00:53:08,040 --> 00:53:10,440
Speaker 1: room with an empty bag of the popcorn and it's

814
00:53:10,480 --> 00:53:13,880
Speaker 1: just like looking at me, and I was like, you

815
00:53:14,200 --> 00:53:18,120
Speaker 1: ate it? Oh you jerk. It's like like what you

816
00:53:18,239 --> 00:53:21,120
Speaker 1: left me here? Do you have a You have a

817
00:53:21,120 --> 00:53:24,719
Speaker 1: male dog too, right? Yeah? I do. Yeah, we all

818
00:53:24,800 --> 00:53:28,320
Speaker 1: have male dogs and their energy is like no other,

819
00:53:28,719 --> 00:53:31,520
Speaker 1: Like we have a female dog at my house and

820
00:53:31,560 --> 00:53:33,960
Speaker 1: we have two males, and that energy is a lot

821
00:53:34,160 --> 00:53:37,799
Speaker 1: like male dog energy is its own thing and they

822
00:53:37,800 --> 00:53:41,759
Speaker 1: don't give a ship an issue. We don't care and

823
00:53:41,800 --> 00:53:49,320
Speaker 1: they're mad at you. M h No, he's a little sometimes,

824
00:53:49,440 --> 00:53:53,799
Speaker 1: but I love him. It's my child helping to get

825
00:53:53,840 --> 00:53:58,560
Speaker 1: through like the stress. Is he providing some comfort some relief?

826
00:54:00,400 --> 00:54:04,279
Speaker 1: Oh yeah, absolutely. Dog therapy is real, guys. Um, when

827
00:54:04,280 --> 00:54:05,960
Speaker 1: I was in med school, they would bring dogs to

828
00:54:06,040 --> 00:54:08,960
Speaker 1: our to the library and they would just like have

829
00:54:09,120 --> 00:54:11,480
Speaker 1: you if you want, you can come and like pet them,

830
00:54:11,600 --> 00:54:13,759
Speaker 1: and it was just like it's real. I don't know

831
00:54:13,800 --> 00:54:15,839
Speaker 1: if it's like some of mice and men, like they're

832
00:54:15,880 --> 00:54:19,840
Speaker 1: just super soft type thing, but like just them is

833
00:54:19,880 --> 00:54:23,760
Speaker 1: just like it's great, especially him, Like he'll like coming home,

834
00:54:23,880 --> 00:54:25,560
Speaker 1: he'll like greet me at the door and be like,

835
00:54:25,560 --> 00:54:28,279
Speaker 1: like you said, like male dog energy is just like

836
00:54:28,400 --> 00:54:31,000
Speaker 1: next level, like oh my god, I'm to see you,

837
00:54:31,040 --> 00:54:33,160
Speaker 1: and I'm like, nobody has been happy to see me

838
00:54:33,239 --> 00:54:36,920
Speaker 1: all day, so I'm so glad you are having to

839
00:54:37,000 --> 00:54:41,560
Speaker 1: see me. Like, um, So yeah, I know, it's definitely

840
00:54:41,680 --> 00:54:45,040
Speaker 1: been been great, especially since I'm trying to like limit

841
00:54:45,080 --> 00:54:47,520
Speaker 1: my contact with my family members as much as I

842
00:54:47,600 --> 00:54:51,960
Speaker 1: can without like you know, alienating them, um, just because

843
00:54:52,360 --> 00:54:54,880
Speaker 1: like I know that I'm constantly like surrounded all the

844
00:54:54,960 --> 00:54:58,520
Speaker 1: time and exposed, Like I just want to flatten, do

845
00:54:58,680 --> 00:55:01,560
Speaker 1: my best to flatten the curve, even though it's you know,

846
00:55:02,080 --> 00:55:09,480
Speaker 1: almost literally impossible for me. Yeah, and so I really

847
00:55:09,520 --> 00:55:13,760
Speaker 1: do I think like people, Um, I like I'm really trying,

848
00:55:13,760 --> 00:55:16,480
Speaker 1: but I think that like people at home, like it's

849
00:55:16,560 --> 00:55:18,960
Speaker 1: really really hard for them to be home all day.

850
00:55:19,000 --> 00:55:20,960
Speaker 1: I had to be home on one day all day,

851
00:55:21,000 --> 00:55:22,680
Speaker 1: and I was like, oh my god, I would shoot

852
00:55:22,680 --> 00:55:24,480
Speaker 1: myself if I had to do this for some weeks.

853
00:55:24,480 --> 00:55:29,919
Speaker 1: But um, it really is like making a difference, like

854
00:55:30,120 --> 00:55:32,040
Speaker 1: for us and they were just the department. We're trying

855
00:55:32,040 --> 00:55:34,360
Speaker 1: to treat the disease. We're trying to treat the symptoms.

856
00:55:34,400 --> 00:55:39,200
Speaker 1: But like preventative care is always, always, always, always more effective,

857
00:55:39,440 --> 00:55:42,600
Speaker 1: and by trying to flatten the curve and preventing the spread,

858
00:55:43,040 --> 00:55:47,960
Speaker 1: you're actually doing way more than we could imagine doing. Um.

859
00:55:48,080 --> 00:55:50,960
Speaker 1: Kind of as like the tertiary care, like that primary

860
00:55:51,000 --> 00:55:56,120
Speaker 1: care is totally key, especially in infectious diseases, Like that's

861
00:55:56,160 --> 00:55:59,080
Speaker 1: how that's how you beat it, right, it's like having

862
00:55:59,160 --> 00:56:03,280
Speaker 1: less people exposed constantly until the way like a vaccine

863
00:56:03,320 --> 00:56:06,279
Speaker 1: or something that can you know, fight it and j

864
00:56:07,719 --> 00:56:11,240
Speaker 1: we have Like in my little corner of the universe,

865
00:56:11,400 --> 00:56:13,440
Speaker 1: a lot of the news and the media and the

866
00:56:13,520 --> 00:56:17,440
Speaker 1: things that I'm seeing about COVID nineteen has to do

867
00:56:17,520 --> 00:56:22,480
Speaker 1: with celebrities and wealthy people who have many of them

868
00:56:22,560 --> 00:56:27,120
Speaker 1: have been asymptomatic, as they have shared themselves, some of

869
00:56:27,160 --> 00:56:29,960
Speaker 1: them have had symptoms, but a lot of them have

870
00:56:30,080 --> 00:56:33,280
Speaker 1: gotten tested in ways that like the general public doesn't

871
00:56:33,320 --> 00:56:36,279
Speaker 1: seem to have access to what are you seeing? What

872
00:56:36,400 --> 00:56:39,080
Speaker 1: is the truth? Because I see so many celebrity stories

873
00:56:39,080 --> 00:56:43,160
Speaker 1: about COVID nineteen testing. What is the truth on the

874
00:56:43,200 --> 00:56:46,319
Speaker 1: ground that you're seeing in New York with regular ask

875
00:56:46,400 --> 00:56:52,719
Speaker 1: people and testing? Um, So, first of all, like I

876
00:56:52,719 --> 00:56:55,840
Speaker 1: don't even know why celebrities are getting tested if you

877
00:56:55,880 --> 00:56:58,680
Speaker 1: don't have symptoms, Like what's the point? Like you're just

878
00:56:58,800 --> 00:57:01,960
Speaker 1: giving yourself anxiety even if the test comes back like

879
00:57:02,200 --> 00:57:05,759
Speaker 1: if positive, you're like, okay, now I have it. Now

880
00:57:05,760 --> 00:57:08,040
Speaker 1: I'm just gonna be anxious about it. And then if

881
00:57:08,040 --> 00:57:12,120
Speaker 1: the test comes back negative, like the sensitivity of the

882
00:57:12,120 --> 00:57:15,880
Speaker 1: test isn't so you could still be positive and just

883
00:57:15,880 --> 00:57:19,920
Speaker 1: have a negative test, right, So it doesn't actually confer

884
00:57:20,120 --> 00:57:25,200
Speaker 1: any like real confidence. UM. And at the end of

885
00:57:25,240 --> 00:57:27,680
Speaker 1: the day, whether the test comes back positive or negative,

886
00:57:27,720 --> 00:57:32,280
Speaker 1: you should be quarantining and limiting your interactions with susceptible populations,

887
00:57:32,320 --> 00:57:35,400
Speaker 1: including a lot of out really people. So it's like

888
00:57:35,640 --> 00:57:37,600
Speaker 1: the way we say, it's like, it's not going to

889
00:57:37,720 --> 00:57:40,600
Speaker 1: change your management. UM, it's not going to change what

890
00:57:40,680 --> 00:57:43,480
Speaker 1: you should do. So I don't know why they are

891
00:57:43,600 --> 00:57:46,680
Speaker 1: doing this, like going out and getting tested. As far

892
00:57:46,720 --> 00:57:51,720
Speaker 1: as like the general population as an epidemiologist, like for me,

893
00:57:52,320 --> 00:57:55,880
Speaker 1: it's important because then we can get an understanding of

894
00:57:55,960 --> 00:57:59,920
Speaker 1: the disease burden and the population. Like if we're testing people,

895
00:58:00,240 --> 00:58:03,600
Speaker 1: we can understand how how many people are infected, how

896
00:58:03,640 --> 00:58:07,880
Speaker 1: often they're getting affected, what's the prevalence was the incidents UM,

897
00:58:08,000 --> 00:58:10,280
Speaker 1: And that can help us going forward as far as

898
00:58:10,320 --> 00:58:13,360
Speaker 1: like research and stuff like that. UM. But as far

899
00:58:13,400 --> 00:58:19,440
Speaker 1: as like clinically, UM testing a patient doesn't really change

900
00:58:19,480 --> 00:58:23,640
Speaker 1: anything because clinically you can see whether a patient is

901
00:58:23,680 --> 00:58:27,200
Speaker 1: like COVID positive or not, especially in this time in

902
00:58:27,240 --> 00:58:30,880
Speaker 1: this population maybe in a few years or um in

903
00:58:30,920 --> 00:58:33,160
Speaker 1: a few decades or something like, it might be helpful,

904
00:58:33,680 --> 00:58:36,360
Speaker 1: but you can see they're presenting the theme their short

905
00:58:36,400 --> 00:58:39,920
Speaker 1: of breath and or they have fevers. UM. There are

906
00:58:40,040 --> 00:58:44,360
Speaker 1: oxygen saturations are low. UM. We're seeing a lot of

907
00:58:44,360 --> 00:58:46,200
Speaker 1: people who are elderly, but we're seeing a lot of

908
00:58:46,200 --> 00:58:50,680
Speaker 1: people who are younger now, UM, like in their thirties

909
00:58:50,680 --> 00:58:53,360
Speaker 1: and forties, especially people who are like obese or have

910
00:58:53,480 --> 00:58:58,000
Speaker 1: other like you know, pule morbidities UM, like the diseases

911
00:58:58,000 --> 00:59:02,240
Speaker 1: that we talked about earlier, like hypertension or a babes UM.

912
00:59:02,280 --> 00:59:06,640
Speaker 1: So it's not really exactly changing how we UM do

913
00:59:06,760 --> 00:59:10,520
Speaker 1: anything right now. UM. Most of the time, we're just

914
00:59:10,600 --> 00:59:14,640
Speaker 1: testing people who are going to be admitted to the hospital. Otherwise,

915
00:59:14,760 --> 00:59:17,600
Speaker 1: if they're going home, we're giving them instructions on how

916
00:59:17,600 --> 00:59:22,240
Speaker 1: to self quarantine, just like any other person in the population. UM,

917
00:59:22,320 --> 00:59:25,400
Speaker 1: and then just monitoring your self for fever and symptoms

918
00:59:25,480 --> 00:59:29,080
Speaker 1: and if it gets worse, to come back to the hospital. UM.

919
00:59:29,120 --> 00:59:32,240
Speaker 1: But I don't think clinically it makes a difference whether

920
00:59:32,280 --> 00:59:36,800
Speaker 1: you're positive or negative UM. As far as statistics and

921
00:59:36,840 --> 00:59:42,560
Speaker 1: population health, UH, in record keeping, it definitely does. UM.

922
00:59:42,680 --> 00:59:45,320
Speaker 1: So I mean I'm kind of torn on that, except

923
00:59:45,360 --> 00:59:48,000
Speaker 1: for the part about celebrities, because that makes no sense,

924
00:59:49,200 --> 00:59:52,320
Speaker 1: like they just want people to know, like, oh my god,

925
00:59:52,480 --> 00:59:54,720
Speaker 1: feel bad for me. I'm staying at home all day,

926
00:59:55,200 --> 00:59:57,800
Speaker 1: Like okay, so we're the rest of us. Look, and

927
00:59:57,840 --> 01:00:01,560
Speaker 1: this is my thing because my under standing is that

928
01:00:01,880 --> 01:00:05,440
Speaker 1: like if I, for example, wanted to go get tested

929
01:00:05,480 --> 01:00:10,440
Speaker 1: for COVID nineteen, I'd have to get permission and like

930
01:00:10,520 --> 01:00:12,560
Speaker 1: someone would have to allow me to do it. I

931
01:00:12,600 --> 01:00:16,680
Speaker 1: couldn't just roll up and demand that I get tested.

932
01:00:17,120 --> 01:00:19,880
Speaker 1: Like there's a process, there are people involved, there's a chain.

933
01:00:20,360 --> 01:00:24,720
Speaker 1: So our celebrities following that chain. Are they following a

934
01:00:24,760 --> 01:00:29,240
Speaker 1: protocol that we're expected to follow or are they purchasing tests?

935
01:00:29,280 --> 01:00:31,720
Speaker 1: Like how are they getting them? How are they doing it?

936
01:00:32,280 --> 01:00:35,040
Speaker 1: I have no idea at first, Like we had such

937
01:00:35,080 --> 01:00:40,240
Speaker 1: a limited amount of tests, like we're testing through specific channels. Um.

938
01:00:40,880 --> 01:00:44,840
Speaker 1: Then um a lot of like like Quest Diagnostics and

939
01:00:44,880 --> 01:00:48,800
Speaker 1: a lot of laboratories had access to tests. So there

940
01:00:48,800 --> 01:00:51,480
Speaker 1: are ways of purchasing it if you have enough money.

941
01:00:51,520 --> 01:00:56,800
Speaker 1: I guess, um, regular regular regular people, UM, like myself

942
01:00:56,840 --> 01:01:01,400
Speaker 1: and yourself. Nobody would test us in their mind, unless

943
01:01:01,400 --> 01:01:04,680
Speaker 1: we're showing symptoms or like as a health care worker,

944
01:01:04,840 --> 01:01:07,920
Speaker 1: at least a few weeks ago. UM, in order to

945
01:01:08,120 --> 01:01:10,840
Speaker 1: return to work, you know, you would have to be

946
01:01:10,960 --> 01:01:17,840
Speaker 1: like tested or um you know, UM just like cleared

947
01:01:17,960 --> 01:01:21,800
Speaker 1: by your occupational health. But UM, now, I think one

948
01:01:21,800 --> 01:01:23,919
Speaker 1: of the things that's being done is like people who

949
01:01:24,040 --> 01:01:29,400
Speaker 1: have tested positive UM and who are not showing symptoms anymore,

950
01:01:29,440 --> 01:01:32,960
Speaker 1: are It's important because they're they're looking to like get

951
01:01:33,240 --> 01:01:36,720
Speaker 1: UM samples of their plasma if they can get like

952
01:01:36,760 --> 01:01:39,880
Speaker 1: antibodies and stuff like that, UM, which I think is

953
01:01:39,920 --> 01:01:44,320
Speaker 1: extremely helpful. UM. So unless like these celebrities are like

954
01:01:44,640 --> 01:01:52,640
Speaker 1: donating their plasma and I doubt it, don't release the money.

955
01:01:53,400 --> 01:01:57,919
Speaker 1: Interesting now, and so m j Dr Murphy, not only

956
01:01:57,920 --> 01:02:01,840
Speaker 1: are you a bad bag and a doctor and just

957
01:02:02,120 --> 01:02:05,760
Speaker 1: an all around amazing human being, UM, but you also

958
01:02:06,160 --> 01:02:09,920
Speaker 1: you're a woman of color, your Haitian, and I can

959
01:02:09,960 --> 01:02:13,880
Speaker 1: imagine that you're probably connecting with patients and helping to

960
01:02:14,000 --> 01:02:18,440
Speaker 1: relay information that maybe isn't being shared widely enough or

961
01:02:18,440 --> 01:02:21,840
Speaker 1: with the communities that maybe needed the most. Right, Can

962
01:02:21,880 --> 01:02:23,840
Speaker 1: you talk to me a little bit about like what

963
01:02:23,920 --> 01:02:27,680
Speaker 1: that experience has been like as far as like our communities,

964
01:02:28,760 --> 01:02:32,520
Speaker 1: you know, based on your observations getting the the information

965
01:02:32,520 --> 01:02:35,280
Speaker 1: that they need. Is like the info, the public health

966
01:02:35,320 --> 01:02:37,640
Speaker 1: info getting out there in the way that it needs

967
01:02:37,680 --> 01:02:46,840
Speaker 1: to be good question mala um. Also also just like

968
01:02:46,920 --> 01:02:51,600
Speaker 1: women of color first, always, always, every time, always support

969
01:02:51,640 --> 01:02:57,600
Speaker 1: them at all costs, always, every time, period, forever, forever. UM.

970
01:02:57,640 --> 01:03:02,000
Speaker 1: I think it's like with any kind of of UM,

971
01:03:02,120 --> 01:03:05,200
Speaker 1: well yeah, epidemic or pandemic, but with any kind of

972
01:03:05,240 --> 01:03:10,040
Speaker 1: like medical information, right, things are getting miscommunicated, things are

973
01:03:10,120 --> 01:03:14,720
Speaker 1: not um um explained in the best way possible. And

974
01:03:14,840 --> 01:03:17,680
Speaker 1: you know, it's it's not always the provider, it's not

975
01:03:17,760 --> 01:03:21,160
Speaker 1: always the patient. Sometimes it's just like a breakdown and communication.

976
01:03:22,320 --> 01:03:25,400
Speaker 1: Especially since it's there's so much in the news and

977
01:03:25,440 --> 01:03:28,000
Speaker 1: there's so much misinformation on the Internet. I think we're

978
01:03:28,000 --> 01:03:30,920
Speaker 1: at a very special time where people are getting a

979
01:03:30,960 --> 01:03:35,320
Speaker 1: lot of information from non clinical sources UM, so they

980
01:03:35,360 --> 01:03:37,800
Speaker 1: might get confused, which which can be a great tool,

981
01:03:38,040 --> 01:03:41,880
Speaker 1: don't get me wrong, it absolutely can. But when you're

982
01:03:41,960 --> 01:03:44,520
Speaker 1: quarantined in your home and your only access to any

983
01:03:44,560 --> 01:03:48,640
Speaker 1: information is like the internet, like um, it's hard, especially

984
01:03:48,680 --> 01:03:51,920
Speaker 1: since like a lot of these communities, like like you said,

985
01:03:53,120 --> 01:03:55,880
Speaker 1: some of them like don't have like families don't have

986
01:03:56,080 --> 01:04:00,640
Speaker 1: clinicians in their family, they don't have access to physicians

987
01:04:00,640 --> 01:04:03,560
Speaker 1: in their family or not just physicians, just like and

988
01:04:03,760 --> 01:04:06,000
Speaker 1: P S or r N S or anyone p A

989
01:04:06,160 --> 01:04:09,320
Speaker 1: S in healthcare fields who have a good understanding of

990
01:04:09,320 --> 01:04:12,960
Speaker 1: what's going on and are able to communicate that effectively. UM.

991
01:04:13,000 --> 01:04:17,800
Speaker 1: I think there's always the the issue of you know,

992
01:04:17,960 --> 01:04:20,520
Speaker 1: language barriers, especially like in New York. It's like l A,

993
01:04:20,720 --> 01:04:23,520
Speaker 1: you know, there's a lot of people who don't speak English.

994
01:04:23,600 --> 01:04:27,240
Speaker 1: English is not their first language. Like, explaining something to

995
01:04:27,320 --> 01:04:31,440
Speaker 1: somebody is hard enough, especially something that's like so scientific

996
01:04:32,080 --> 01:04:35,840
Speaker 1: UM is difficult enough in your native language, like you know,

997
01:04:35,920 --> 01:04:40,920
Speaker 1: trying to understand that UM in English, like UM so

998
01:04:41,000 --> 01:04:43,120
Speaker 1: on top of that, if you're trying to explain it

999
01:04:43,160 --> 01:04:45,720
Speaker 1: to somebody who does not speak English. I think one

1000
01:04:45,720 --> 01:04:48,000
Speaker 1: of the great things about New York is that we

1001
01:04:48,280 --> 01:04:53,240
Speaker 1: understand where our population like level of knowledge is at,

1002
01:04:53,360 --> 01:04:55,640
Speaker 1: and we do the best that we can to not

1003
01:04:55,760 --> 01:05:00,760
Speaker 1: only like you know, overcome the UM langu uch barriers,

1004
01:05:00,800 --> 01:05:05,400
Speaker 1: Like we have so much staff. Our staff speaks multiple languages,

1005
01:05:05,520 --> 01:05:10,880
Speaker 1: our doctors speak multiple languages, UM are like, and for

1006
01:05:11,000 --> 01:05:13,240
Speaker 1: those languages that we don't speak, you know, we always

1007
01:05:13,240 --> 01:05:16,560
Speaker 1: have access to sire compphones to try to bring UM

1008
01:05:16,600 --> 01:05:21,320
Speaker 1: an interpreter, a translator, UM into the conversation so that

1009
01:05:21,360 --> 01:05:26,600
Speaker 1: we ensure that what we're explaining gets explained correctly. UM.

1010
01:05:26,640 --> 01:05:29,720
Speaker 1: But then there's the additional barrier of just like clinical

1011
01:05:29,760 --> 01:05:34,680
Speaker 1: knowledge and kind of understanding what that means, because even

1012
01:05:34,720 --> 01:05:40,080
Speaker 1: just knowing terminology doesn't mean that you understand that, Oh,

1013
01:05:40,160 --> 01:05:43,840
Speaker 1: this means that if even if I, you know, if

1014
01:05:43,840 --> 01:05:47,120
Speaker 1: I call on somebody like that, could you know, transmit

1015
01:05:47,160 --> 01:05:50,280
Speaker 1: the disease or if I am you know, within six

1016
01:05:50,280 --> 01:05:53,000
Speaker 1: feet of somebody like that can transmit the disease as

1017
01:05:53,000 --> 01:05:55,680
Speaker 1: opposed to like touching them or like, you know, stuff

1018
01:05:55,720 --> 01:06:01,080
Speaker 1: like that. Yeah, it takes a lot to um for

1019
01:06:01,160 --> 01:06:04,720
Speaker 1: any person, let alone somebody who is coming from a

1020
01:06:04,760 --> 01:06:07,800
Speaker 1: community that doesn't have access to the best best health

1021
01:06:07,840 --> 01:06:13,400
Speaker 1: knowledge you know. UM. So absolutely, I think about the

1022
01:06:13,440 --> 01:06:15,439
Speaker 1: fact that, like all of a sudden, in the past

1023
01:06:15,480 --> 01:06:20,120
Speaker 1: few weeks, there's like a new language that we're all speaking,

1024
01:06:20,320 --> 01:06:26,320
Speaker 1: and words like asymptomatic and self isolation and quarantine and

1025
01:06:26,480 --> 01:06:33,000
Speaker 1: bacteria like these words are in the our our consciousness

1026
01:06:33,000 --> 01:06:35,080
Speaker 1: in a way that it wasn't before. And I feel

1027
01:06:35,120 --> 01:06:37,560
Speaker 1: like there's a little bit of an expectation that everybody

1028
01:06:37,560 --> 01:06:41,680
Speaker 1: knows what these words mean like one night to the next,

1029
01:06:42,200 --> 01:06:44,400
Speaker 1: and people don't. And I think about the fact that

1030
01:06:44,440 --> 01:06:49,959
Speaker 1: there's really not health programs in schools, like there would

1031
01:06:50,000 --> 01:06:54,120
Speaker 1: have been no prep at all for people to be

1032
01:06:55,240 --> 01:06:59,760
Speaker 1: ready to protect themselves. Or it's just wild to me

1033
01:07:00,080 --> 01:07:05,320
Speaker 1: just the way it all unravels. No, it's it's absolutely true.

1034
01:07:05,440 --> 01:07:10,760
Speaker 1: Like on a daily basis, I'm still like explaining to people, like, so,

1035
01:07:10,840 --> 01:07:13,800
Speaker 1: this is a virus, right. I have patients that are like,

1036
01:07:13,880 --> 01:07:17,640
Speaker 1: oh that I'm like discharging. You are like, how come

1037
01:07:17,680 --> 01:07:21,280
Speaker 1: I'm not getting antibiotics, And it's like, okay, Well, like

1038
01:07:21,320 --> 01:07:24,000
Speaker 1: antibiotics or for a bacterial infection, I think you have

1039
01:07:24,040 --> 01:07:27,440
Speaker 1: a viral infection, they'd be very useless against the virus.

1040
01:07:27,600 --> 01:07:29,920
Speaker 1: So it's like, so unless I believe you have a

1041
01:07:29,920 --> 01:07:32,919
Speaker 1: bacterial infection on type of your viral infection, I don't

1042
01:07:32,920 --> 01:07:36,040
Speaker 1: think that that would be necessary. And so like just

1043
01:07:36,160 --> 01:07:40,040
Speaker 1: even explaining very basic things like that for me as

1044
01:07:40,080 --> 01:07:42,360
Speaker 1: somebody in the medical field, it's very basic for me

1045
01:07:43,240 --> 01:07:46,240
Speaker 1: or you know, other people it's not that basic. That's

1046
01:07:46,320 --> 01:07:49,560
Speaker 1: not like something that comes intuitively to them. Or just

1047
01:07:49,600 --> 01:07:53,080
Speaker 1: like even like treating your fevers, like I'll have. I'll

1048
01:07:53,320 --> 01:07:55,840
Speaker 1: explain to somebody like, oh, you can take like a

1049
01:07:55,880 --> 01:07:59,360
Speaker 1: seed of mena fin or something for your fever. Um,

1050
01:07:59,440 --> 01:08:02,000
Speaker 1: And then I'll have a patient come back and be like, oh, well,

1051
01:08:02,080 --> 01:08:05,440
Speaker 1: I took talent all because I couldn't find like this,

1052
01:08:05,920 --> 01:08:08,560
Speaker 1: or I took I told them to take tile in all,

1053
01:08:08,640 --> 01:08:10,080
Speaker 1: and they'll come back and be like, oh, I took

1054
01:08:10,080 --> 01:08:11,960
Speaker 1: a seat of menifen because I couldn't find any talle

1055
01:08:12,040 --> 01:08:16,120
Speaker 1: at all. Like okay, Like that's my fault. I should

1056
01:08:16,120 --> 01:08:18,160
Speaker 1: have explained that talent all and a seat a menifin

1057
01:08:18,240 --> 01:08:20,920
Speaker 1: and the same thing. You know, just be very clear

1058
01:08:21,000 --> 01:08:24,000
Speaker 1: about what you're saying, because if not, it can get

1059
01:08:24,120 --> 01:08:29,960
Speaker 1: on a general basis just miscommunicated. Um. And assuming that

1060
01:08:30,000 --> 01:08:33,040
Speaker 1: somebody has a level of knowledge is very dangerous because

1061
01:08:33,720 --> 01:08:36,800
Speaker 1: there you know, they may or may not understand what

1062
01:08:36,840 --> 01:08:41,320
Speaker 1: you're talking about, especially when we we we have no

1063
01:08:41,560 --> 01:08:47,759
Speaker 1: infrastructure in medicine or education to point to to suggest

1064
01:08:47,880 --> 01:08:51,320
Speaker 1: that we've prepared people to know what these things mean

1065
01:08:51,439 --> 01:08:55,200
Speaker 1: or to know the difference between you know, a bacterial

1066
01:08:55,240 --> 01:08:59,519
Speaker 1: infection and a virus. Right. UM, I think about how

1067
01:08:59,640 --> 01:09:03,840
Speaker 1: like where would the information about things like adequate handwashing,

1068
01:09:04,560 --> 01:09:09,439
Speaker 1: coughing taking care of your genitals, like washing up. Where

1069
01:09:09,560 --> 01:09:12,840
Speaker 1: is that? Where is that information shared? It would be

1070
01:09:12,880 --> 01:09:15,320
Speaker 1: like in a health class or in a sex said class.

1071
01:09:15,360 --> 01:09:23,160
Speaker 1: And how many states actually have medically accurate, comprehensive health programs. Well,

1072
01:09:23,200 --> 01:09:25,600
Speaker 1: we we don't have a public health system in the

1073
01:09:25,720 --> 01:09:29,400
Speaker 1: United States, right, Like it's just always so funny because

1074
01:09:29,439 --> 01:09:31,880
Speaker 1: like coming from a public health background, Like I have

1075
01:09:31,960 --> 01:09:34,799
Speaker 1: so many friends from school like public health, like people

1076
01:09:35,560 --> 01:09:39,760
Speaker 1: UM who you know, are totally invested in this and

1077
01:09:39,800 --> 01:09:42,599
Speaker 1: like this is their life, this is their career. And

1078
01:09:42,680 --> 01:09:47,040
Speaker 1: like the United States just doesn't have a public health system,

1079
01:09:47,080 --> 01:09:50,920
Speaker 1: Like we just don't. Like our public hospitals are safety

1080
01:09:51,000 --> 01:09:54,720
Speaker 1: nut hospitals. We're seeing patients who just don't have insurance.

1081
01:09:54,800 --> 01:09:57,960
Speaker 1: We have people who fall through the cracks because we

1082
01:09:58,080 --> 01:10:03,120
Speaker 1: allow the cracks to continue to exist UM. And you know,

1083
01:10:03,320 --> 01:10:05,760
Speaker 1: that's one of the things that this epidemic or pandemic

1084
01:10:05,960 --> 01:10:10,519
Speaker 1: is really you know highlighting UM is our just lack

1085
01:10:10,720 --> 01:10:17,599
Speaker 1: of UM public knowledge and public health UM infrastructure. Because

1086
01:10:17,640 --> 01:10:21,680
Speaker 1: if we had a semblance of a public health infrastructure

1087
01:10:21,720 --> 01:10:24,360
Speaker 1: that was better than what we have, maybe we would

1088
01:10:24,360 --> 01:10:28,519
Speaker 1: have been a little bit more prepared UM. Especially like

1089
01:10:28,600 --> 01:10:30,719
Speaker 1: in a place like New York. I feel like there's

1090
01:10:30,760 --> 01:10:34,640
Speaker 1: so many people here, UM, and we would have benefited

1091
01:10:34,800 --> 01:10:39,000
Speaker 1: from having more of a structure in place, a fundage

1092
01:10:39,000 --> 01:10:44,519
Speaker 1: structure in place that to protect people. UM. Like in England,

1093
01:10:44,560 --> 01:10:47,240
Speaker 1: like both of us studied in England. UM, they have

1094
01:10:47,280 --> 01:10:51,040
Speaker 1: the National Health Service. Like it's not don't be wrong,

1095
01:10:51,160 --> 01:10:54,160
Speaker 1: like it's not perfect, it's not, you know, the best system.

1096
01:10:54,240 --> 01:10:57,080
Speaker 1: And I'm not advocating for one system over the other

1097
01:10:57,600 --> 01:11:01,200
Speaker 1: and just stating a fact. They have a national health

1098
01:11:01,200 --> 01:11:07,160
Speaker 1: system something that we don't have UM, and you you

1099
01:11:07,240 --> 01:11:10,800
Speaker 1: highlighted earlier, like for these communities of color, a lot

1100
01:11:10,840 --> 01:11:14,679
Speaker 1: of people are uninsured. So even if they are short

1101
01:11:14,680 --> 01:11:17,320
Speaker 1: of breath, even if they've been short of breath for days, like,

1102
01:11:17,760 --> 01:11:20,000
Speaker 1: they may not come to the hospital because of the

1103
01:11:20,040 --> 01:11:22,519
Speaker 1: cost of the ambulance, the cost of the you know,

1104
01:11:22,640 --> 01:11:25,680
Speaker 1: e er visit. Is it really that necessary that I go?

1105
01:11:26,200 --> 01:11:28,559
Speaker 1: Is it really? And then they're waiting into the last

1106
01:11:28,640 --> 01:11:32,120
Speaker 1: possible second because it's like Okay, now I absolutely can't breath,

1107
01:11:32,680 --> 01:11:34,680
Speaker 1: and it's like, okay, I have to get help for us.

1108
01:11:34,680 --> 01:11:38,400
Speaker 1: I'm gonna die. And it's like, you know, like for

1109
01:11:38,479 --> 01:11:41,599
Speaker 1: the fear of the bills, the fear of the costs,

1110
01:11:41,840 --> 01:11:47,360
Speaker 1: and we shouldn't be creating an environment where people are

1111
01:11:47,560 --> 01:11:51,560
Speaker 1: so terrified to go to the hospital that they're willing

1112
01:11:51,600 --> 01:11:56,160
Speaker 1: to wait that long. Yeah. Yeah, and it's too The

1113
01:11:56,200 --> 01:11:59,120
Speaker 1: other thing is I understand also people are hesitant to

1114
01:11:59,120 --> 01:12:02,320
Speaker 1: go to the hospital, the bills, the expense, not being insured,

1115
01:12:02,640 --> 01:12:07,040
Speaker 1: being undocumented, um, and just straight up not trusting it.

1116
01:12:07,520 --> 01:12:13,960
Speaker 1: There was a case the first what was first reported

1117
01:12:14,040 --> 01:12:18,360
Speaker 1: as the first case of a minor in California dying

1118
01:12:18,400 --> 01:12:24,519
Speaker 1: from COVID nineteen has now been uh that that death

1119
01:12:24,560 --> 01:12:28,479
Speaker 1: has been removed from the death count. Like COVID nineteen

1120
01:12:28,479 --> 01:12:30,920
Speaker 1: death count, it was first reported as a COVID death

1121
01:12:31,160 --> 01:12:33,680
Speaker 1: has since been removed from the death count. This was

1122
01:12:33,720 --> 01:12:37,120
Speaker 1: a teenage boy who was like super sick, super feverish.

1123
01:12:37,479 --> 01:12:40,960
Speaker 1: His parents took him to an urgent care center. Um.

1124
01:12:41,160 --> 01:12:44,599
Speaker 1: The boy didn't have insurance and so the urgent care

1125
01:12:44,840 --> 01:12:47,840
Speaker 1: basically turned him away. And all the reporting it's been

1126
01:12:47,840 --> 01:12:51,880
Speaker 1: described as the urgent care clinic turned him away because

1127
01:12:51,920 --> 01:12:53,920
Speaker 1: he did not have insurance on his way to the

1128
01:12:53,960 --> 01:12:56,559
Speaker 1: e R because they recommended he go to the emergency room.

1129
01:12:57,040 --> 01:12:58,960
Speaker 1: On his way to the er, he went to cardiac

1130
01:12:59,080 --> 01:13:02,080
Speaker 1: went into cardiac or rest um. Then they stabilized him

1131
01:13:02,080 --> 01:13:04,519
Speaker 1: and then he passed away in the emergency room, they

1132
01:13:04,560 --> 01:13:07,320
Speaker 1: tested him and he tested positive for COVID nineteen, but

1133
01:13:07,560 --> 01:13:09,800
Speaker 1: that was after he had died, so at first they

1134
01:13:09,840 --> 01:13:12,799
Speaker 1: reported it as a COVID death, but afterwards they say, actually,

1135
01:13:12,840 --> 01:13:16,679
Speaker 1: we think that maybe he actually died of sepsis. So

1136
01:13:17,040 --> 01:13:20,479
Speaker 1: there's like in l A, this recent case I know

1137
01:13:20,640 --> 01:13:24,280
Speaker 1: amongst people has caused a lot of like like fear

1138
01:13:24,439 --> 01:13:27,599
Speaker 1: and like distrust. It's also like, well do we even

1139
01:13:27,600 --> 01:13:29,840
Speaker 1: know if the death count is accurate? Because how do

1140
01:13:29,920 --> 01:13:32,880
Speaker 1: they decide what counts as a COVID nineteen death and

1141
01:13:32,920 --> 01:13:38,120
Speaker 1: what does not? Given this example, we just had right, No, absolutely,

1142
01:13:38,280 --> 01:13:40,479
Speaker 1: And it's one of those things as well, like if

1143
01:13:40,479 --> 01:13:43,960
Speaker 1: we're not testing the population, how do I know that

1144
01:13:44,000 --> 01:13:47,000
Speaker 1: the patient that I'm sending home who's stable right now,

1145
01:13:47,960 --> 01:13:50,800
Speaker 1: isn't gonna go home and die at home? Because if

1146
01:13:50,840 --> 01:13:54,880
Speaker 1: I'm not testing them in the r before they go home, Um,

1147
01:13:55,000 --> 01:13:56,760
Speaker 1: how do I know that this is a test, Like

1148
01:13:56,800 --> 01:14:00,639
Speaker 1: it's not a COVID positive patient. Um, because they might

1149
01:14:00,640 --> 01:14:02,519
Speaker 1: not come back to my e er, they might not

1150
01:14:02,640 --> 01:14:05,160
Speaker 1: die in the hospital, they might die at home, and

1151
01:14:05,160 --> 01:14:08,720
Speaker 1: then nobody's going to test UM. It's more if they

1152
01:14:08,760 --> 01:14:12,840
Speaker 1: have no indication to you know, especially if nobody is

1153
01:14:12,880 --> 01:14:15,599
Speaker 1: there like that. That's one of the things that I

1154
01:14:15,640 --> 01:14:19,120
Speaker 1: am really proud about my program because the residents and

1155
01:14:19,120 --> 01:14:22,839
Speaker 1: the attendings are very adamant about, like what's the social situation?

1156
01:14:22,920 --> 01:14:24,400
Speaker 1: Like if I send them home where they're going to

1157
01:14:24,479 --> 01:14:26,920
Speaker 1: be safe? Is this an eighty nine year old lady

1158
01:14:26,920 --> 01:14:29,519
Speaker 1: who lives alone and she's coming in because she felt

1159
01:14:29,520 --> 01:14:32,519
Speaker 1: because she was short of breath. I obviously can't send

1160
01:14:32,520 --> 01:14:35,800
Speaker 1: her home safely because I don't trust, you know, that

1161
01:14:35,920 --> 01:14:38,519
Speaker 1: she'd be able to be in a safe environment at home.

1162
01:14:39,200 --> 01:14:41,720
Speaker 1: Versus is this a forty year old guy with like

1163
01:14:41,800 --> 01:14:44,040
Speaker 1: five people at home who'll be able to watch him

1164
01:14:44,600 --> 01:14:51,240
Speaker 1: UM and indicate like whether he should come back or not. UM.

1165
01:14:51,320 --> 01:14:54,320
Speaker 1: That's like two different social situations, right, And I think

1166
01:14:54,960 --> 01:14:57,439
Speaker 1: one of the important things that we have to think about,

1167
01:14:57,560 --> 01:15:03,120
Speaker 1: especially during this epidemic is social UM, people's social backgrounds

1168
01:15:03,120 --> 01:15:07,559
Speaker 1: and socio economic status EES, because it's really driving like

1169
01:15:07,720 --> 01:15:12,040
Speaker 1: whether people are seeking you know, treatment and seeking help

1170
01:15:12,760 --> 01:15:18,160
Speaker 1: UM and when they're doing so. Yeah, mj Dr Murphy,

1171
01:15:18,280 --> 01:15:20,439
Speaker 1: I know you have to go and work tonight and

1172
01:15:20,520 --> 01:15:23,120
Speaker 1: fight the good fight and you are so amazing and

1173
01:15:23,160 --> 01:15:25,400
Speaker 1: I'm so proud of you and it's just like so

1174
01:15:25,600 --> 01:15:31,600
Speaker 1: exciting to see you from toughs undergrad uc L University

1175
01:15:31,600 --> 01:15:36,640
Speaker 1: College London, rarefm to everything else you've done after that, Columbia, Harvard,

1176
01:15:37,040 --> 01:15:40,080
Speaker 1: all of it, UM and now working as a resident

1177
01:15:40,120 --> 01:15:43,280
Speaker 1: physician in emergency medicine in New York City is at

1178
01:15:43,320 --> 01:15:48,080
Speaker 1: the height of our experience with COVID nineteen, the pandemic.

1179
01:15:48,760 --> 01:15:51,040
Speaker 1: And UM, I love you so much, Thank you so

1180
01:15:51,120 --> 01:15:52,840
Speaker 1: much for coming on the podcast. I don't want to

1181
01:15:52,880 --> 01:15:55,519
Speaker 1: keep you because you are literally about to go scroll

1182
01:15:55,720 --> 01:15:58,920
Speaker 1: up and like go work. UM any like last thing

1183
01:15:59,040 --> 01:16:00,800
Speaker 1: that you want to share with our listeners that you

1184
01:16:00,920 --> 01:16:05,920
Speaker 1: think folks should really know and keep in mind. UM today,

1185
01:16:06,560 --> 01:16:10,320
Speaker 1: Oh well, thank you for having me and for the listeners.

1186
01:16:10,920 --> 01:16:18,120
Speaker 1: Wash your hands, stay safe and fact check everything you read. Okay,

1187
01:16:18,560 --> 01:16:25,479
Speaker 1: love it. Dr M J. Murphy, M D Bad Bitch.

1188
01:16:26,560 --> 01:16:28,960
Speaker 1: I love you, Thank you so much. UM. This has

1189
01:16:28,960 --> 01:16:31,599
Speaker 1: been another episode of Look at Radio. This is our

1190
01:16:31,680 --> 01:16:36,000
Speaker 1: special installment of Quarantine Confidential talking about all things COVID nineteen.

1191
01:16:36,720 --> 01:16:40,160
Speaker 1: We'll talk later. We also had to step out, UM,

1192
01:16:40,280 --> 01:16:42,680
Speaker 1: so we'll chat again soon. Bessie Thos,