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good afternoon everybody my name is

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Renard and as Leon I am the director of

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the UCLA Center for Mexican Studies and

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it is my distinct pleasure to welcome

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all of you to our event this afternoon

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this is the last of the season and the

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last of a series of events focusing on

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the impact of the Kovach 19 pandemic on

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Mexico and I will introduce our speaker

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shortly

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cristina chica but for now I will begin

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with two acknowledgments that we read at

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the beginning of every event the first

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acknowledgment is an acknowledgement of

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the natives native peoples of this

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region of Southern California the Center

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for Mexican studies at UCLA acknowledges

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that we are really not owned by peoples

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as the traditional land caretakers of

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the Los Angeles basin in southern

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Channel Islands as a land-grant

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institution we pay our respects to the

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ancestors the elders our relatives and

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relations past present and emerging I

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will read now a read press release a

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statement of the International Institute

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supporting the movement for black lives

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and black lives matter the UCLA

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International Institute stands

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unequivocally against the egregious and

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disproportionate violence faced by

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blacks in America and the systemic

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disenfranchisement and oppression of

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marginalized communities across the

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world as the as the home of

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International Studies on the UCLA campus

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it is the Institute's mission to

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involvin people to connect through their

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shared humanity and think

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transnationally and across borders yet

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these past few weeks have humbled and

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reminded us of our duty to listen to our

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community so that we can learn how to be

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the ally that they deserve in the fight

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for justice including against anti black

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racism

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and now it is my distinct pleasure to

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introduce our speaker today christina

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chica christina is a doctoral candidate

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in sociology at UCLA she is a

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multi-method

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researcher who works in the areas of

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gender and sexuality critical geography

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and urban sociology today

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Christina will will be presenting

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preliminary results of her work in

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Mexico City in the strategies and

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adaptations of the LLG lgbtq+ community

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in Mexico City in the context of the

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copied 19 pandemic so Christina welcome

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thank you for making yourself available

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in this very complex times and the floor

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is yours thank you again thank you to

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Ben for the invitation all right hi

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everyone thank you so much for coming to

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lgbtq+ peoples reported social and

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health adapt ations to kovin 19 in

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mexico city before I get started I want

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to give a special thanks to my co

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researcher Araceli on photo I also want

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to check to thank all of them so

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Hernandez is Tiffany a Ksenia de Paris

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Fernanda Viegas Ignacio Lozano middle

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school fourth headed up and who Safina

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Flores Morales who were all key and

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helping to shape the survey and the

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process moving forward so why did we

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create this survey essentially it came

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from caring about two main research

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questions the first being how is the

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lgbtq+ population of Mexico City

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spatially and technologically adapting

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to kovat and then what we will be

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discussing more today is how is Kovach

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19 affecting the personal and social

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health outcomes especially mental health

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outcomes of lgbtq+ people in Mexico City

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so this is also part of how they're

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staying socially connected how this

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difference varies by demographic

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variables and most importantly for this

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particular presentation how that varies

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within the lgbtq+ acronym

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identity so the survey instrument was

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put together by consulting a variety of

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materials the inquest semester now so

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that is human se on which is a survey

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put out by a Mexican body that puts that

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other types of surveys another survey

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that was put out by a LGBT group in

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Mexico City called mrs. Ines de la

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población LBT IQA durante la conciencia

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for Cogan 19 and CD MX it was a needs

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assessment survey that complements

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actually pretty well what we were doing

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on a more academic level and then

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another online survey that was put out

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on koban 19 by scholars at and collected

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enough from that uh Northam you'll see

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on the right hand side we also consulted

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some best practices from the UCLA

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Williams Institute we looked at the

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Mexican census and then some other

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specific surveys so for example an

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hiv-related survey for the trans

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population that's the city there just to

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be clear these pictures on the right

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hand side aren't an endorsement or

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partnerships I just wanted to have a

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visual representation of some of the

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sources that we consulted so we put the

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survey together using Qualtrics it's an

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online one time self-reported volunteer

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survey it was distributed through a

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snowball sample via individual and LGBT

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plus organizational networks mostly

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through social media online email and

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people were allowed to share with

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whoever they wanted to share with and it

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was available all of mate from 2020 so

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we have a respondents who took it

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various times during one time at various

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points in May and it's 59 questions in

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total it's in Spanish which means that

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everything that you see here that's in

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question format a response format has

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been translated and we also had a

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variety of question types

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we had yes-or-no questions multiple

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choice fill ins there were some

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questions that appeared after you

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answered yes to something we had some

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self populating questions as well and

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all of these questions were designed for

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both quantitative and qualitative

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analysis as a whole but specifically for

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today's purposes we'll have dummy and

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recoated variables that lend themselves

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better to quantitative analysis

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our questions delve into a couple of

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different themes right we have

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demographics social networks facial

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behavior before and after coded LGBT

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plus specific connectivity before and

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after Co vid health strategies disaster

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response mental health and physical

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health before and after Kovach 19 all of

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this is self-reported data and then

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things that are involved here are

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essentially what we're going to be

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spending the most focus on today so a

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quick look at the sample overall we have

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three hundred and sixty seven unique

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participants with an 81% survey

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completion rate you'll notice that the

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count on some of our tables is higher

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than 367 and that was only in instances

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where the questions allowed you to pick

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more than one answer to which we were

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just looking more at the aggregate or

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answers great so before I delve in I

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just want to say that these are

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preliminary results again we're mostly

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going to be focusing on sample wide

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responses and there will be moments

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where we dive a little bit deeper into

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sexual orientation and gender then

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towards the end of the presentation

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we'll get a little bit more specific

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with some of the tests that we have

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begun to run and what we plan to do

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moving forward so you see this table

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here is a tab and of central orientation

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and sexual behavior we had a few

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different questions that we're getting

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at similar types of themes just to see

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how they would compare from our

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chi-square test you can see with the

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probability on the lower right hand side

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it's very much related right the

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relationship there is not independent

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which means that most people who

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identify as lesbian gay bisexual or

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somewhere in the plus category which

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includes things like queer pansexual all

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of those identities and then in terms of

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their sexual behavior it corresponding

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pretty pretty nicely right right if you

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take a look at our table on age you'll

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see that it's pretty normally

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distributed you'll notice that we have

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an over-representation of men in this

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sample and most of the respondents are

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in the middle age category

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great so speaking a little bit about

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education and occupation and disability

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on the left hand side you'll notice a

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word cloud with different work labels

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essentially we put together that from

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the different options that we had we

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allowed respondents to take different

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types of career paths or sectors right

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and so you'll notice that whichever

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words are the largest proportionally and

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that will be true of every word cloud

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are the ones that were the most likely

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to be picked so you'll see entrepreneur

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consultant private sector public sector

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activist etc this is just a sampling of

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the responses and also something that's

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really interesting is that a fourth of

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the sample self-reported having at least

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some postgraduate education which means

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that our sample is a quite an educated

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population especially considering

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Mexicans Mexico's educated population

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overall is proportionately much smaller

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right and before I get into disability

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another reason why that's important is

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to say this is an online distribute

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survey which means that of course if you

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didn't have access to a computer or

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reliable internet or a phone you weren't

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going to be able to take the survey

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which could also account in some extent

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for the over-representation of educated

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people

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so only seven-point 65 percent of the

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respondents for the question on

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disability reported having a disability

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here are some of the things that they

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mentioned visual disabilities right HIV

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what's really interesting about this

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fact is later on when we talk about

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at-risk conditions right you'll notice

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that the percentage of people who report

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having those is much much much higher

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and so another reason why a variety of

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question types helps us get add really

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what's going on health-wise with our

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respondents so a quick note on race we

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asked five questions that were

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specifically geared towards getting a

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sort of racial and ethnic composition of

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our participants the interesting note

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about this is that we followed Census

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and other Mexican survey specific norms

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of asking about whether or not you

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pertain to an indigenous population more

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salient now is this idea of

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afro-descendants right but usually those

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so ask questions about skin color and so

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we wanted to ask what do you consider

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your racial and ethnic identity with an

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open response someone as an experiment

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to see what Mexicans were gonna say

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since sort of racial and ethnic salience

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operates in a very different way we also

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asked do you consider yourself

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indigenous or part of one Drupal or

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tehina do right do you speak an

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indigenous language if so which

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indigenous language do you speak and

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then do you consider yourself black afro

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Mexican or of Afro descent there were

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very few people who did speak an

277

00:11:19,850 --> 00:11:25,459

indigenous language um Quechua was on

278

00:11:22,399 --> 00:11:28,100

there so was that cool and there was a

279

00:11:25,459 --> 00:11:31,430

language that's affiliated with the

280

00:11:28,100 --> 00:11:32,540

region of San Luis Potosi and so what's

281

00:11:31,430 --> 00:11:35,300

really interesting here is you'll notice

282

00:11:32,540 --> 00:11:38,089

that the biggest word is Latino and that

283

00:11:35,300 --> 00:11:40,430

got us thinking right because one of the

284

00:11:38,089 --> 00:11:42,259

things that we were wondering about is

285

00:11:40,430 --> 00:11:44,059

whether or not the prevalence of the

286

00:11:42,259 --> 00:11:45,800

term Latino was something that was

287

00:11:44,059 --> 00:11:48,379

selected because remember this was

288

00:11:45,800 --> 00:11:50,059

filling your own because the respondents

289

00:11:48,379 --> 00:11:52,730

knew that we were us researchers or

290

00:11:50,059 --> 00:11:54,949

perhaps it was a racial ethnic category

291

00:11:52,730 --> 00:11:56,629

and concept that has really migrated to

292

00:11:54,949 --> 00:11:59,089

this part of the world and is being

293

00:11:56,629 --> 00:12:01,519

adopted less surprising was the second

294

00:11:59,089 --> 00:12:03,079

most prevalent which was missile mostly

295

00:12:01,519 --> 00:12:05,120

because the Mexican nation-state right

296

00:12:03,079 --> 00:12:06,769

has this larger ideological project of

297

00:12:05,120 --> 00:12:08,720

thinking about all of its citizens as a

298

00:12:06,769 --> 00:12:10,519

combination of European and indigenous

299

00:12:08,720 --> 00:12:12,410

and so it wasn't surprising that that

300

00:12:10,519 --> 00:12:13,459

was something that was on there well

301

00:12:12,410 --> 00:12:16,519

then of course you have these other

302

00:12:13,459 --> 00:12:18,139

terms like mo Daniel even Modi no cloud

303

00:12:16,519 --> 00:12:20,180

all right that were more sort of in

304

00:12:18,139 --> 00:12:25,639

reference to skin color so I found that

305

00:12:20,180 --> 00:12:27,829

interesting all right so the respondents

306

00:12:25,639 --> 00:12:29,660

were allowed to take the survey if they

307

00:12:27,829 --> 00:12:30,350

were in CDM X but also in the Acela de

308

00:12:29,660 --> 00:12:32,899

Mexico

309

00:12:30,350 --> 00:12:35,389

the reason for that is because the

310

00:12:32,899 --> 00:12:36,800

boundaries are somewhat arbitrary and we

311

00:12:35,389 --> 00:12:38,360

wanted to take into account that there

312

00:12:36,800 --> 00:12:41,300

were folks who might have lived in Acela

313

00:12:38,360 --> 00:12:42,740

than Mexico but were operating fully in

314

00:12:41,300 --> 00:12:45,170

terms of their social lives in terms of

315

00:12:42,740 --> 00:12:47,089

their jobs within smooth out the Mexican

316

00:12:45,170 --> 00:12:49,370

I think a good comparison would be to

317

00:12:47,089 --> 00:12:51,499

think of Los Angeles how the actual

318

00:12:49,370 --> 00:12:53,720

boundaries of the city are a particular

319

00:12:51,499 --> 00:12:55,459

set but of course there are parts of LA

320

00:12:53,720 --> 00:12:57,559

that even if they're not under those

321

00:12:55,459 --> 00:12:59,509

boundaries we in our cultural and sort

322

00:12:57,559 --> 00:13:02,630

of more geographic imagination

323

00:12:59,509 --> 00:13:05,720

understand those to be Los Angeles

324

00:13:02,630 --> 00:13:08,240

not as surprisingly we had 19 percent of

325

00:13:05,720 --> 00:13:10,040

respondents say that they lived in the

326

00:13:08,240 --> 00:13:13,280

municipality of what demo which was

327

00:13:10,040 --> 00:13:15,260

inside Mexico City and then we had the

328

00:13:13,280 --> 00:13:17,690

second highest being in Benito Juarez

329

00:13:15,260 --> 00:13:20,360

right so what that make is the place

330

00:13:17,690 --> 00:13:22,630

that most LGBT nightlife actually occurs

331

00:13:20,360 --> 00:13:24,650

in it also has most of those resources

332

00:13:22,630 --> 00:13:26,750

Khayyam that is which is considered the

333

00:13:24,650 --> 00:13:29,990

gaze street of Mexico City is also

334

00:13:26,750 --> 00:13:32,090

located here in this municipality this

335

00:13:29,990 --> 00:13:34,430

one of Rosa and so it's interesting to

336

00:13:32,090 --> 00:13:35,990

see that it's also important to note I

337

00:13:34,430 --> 00:13:38,090

think that it's a space that's in going

338

00:13:35,990 --> 00:13:40,040

a lot of gentrification it's very

339

00:13:38,090 --> 00:13:42,170

international there's changes that are

340

00:13:40,040 --> 00:13:44,870

going on and if we have a more highly

341

00:13:42,170 --> 00:13:47,270

represented highly educated represented

342

00:13:44,870 --> 00:13:49,340

population it makes somewhat sense that

343

00:13:47,270 --> 00:13:51,620

we would have a lot of residents in

344

00:13:49,340 --> 00:13:53,570

these two municipalities where I would

345

00:13:51,620 --> 00:13:56,600

say what more middle and upper middle

346

00:13:53,570 --> 00:13:59,930

class people live and in terms of place

347

00:13:56,600 --> 00:14:02,840

of origin most were born in Mexico City

348

00:13:59,930 --> 00:14:06,440

we have 7.67 born in the assaut the

349

00:14:02,840 --> 00:14:08,900

mythical and then 27.9 five percent came

350

00:14:06,440 --> 00:14:10,760

from other Mexican states this is

351

00:14:08,900 --> 00:14:13,460

important to know mostly because when we

352

00:14:10,760 --> 00:14:15,200

think about queer migration right

353

00:14:13,460 --> 00:14:16,790

internal migration into big cities we

354

00:14:15,200 --> 00:14:19,220

can see that this probably is a trend

355

00:14:16,790 --> 00:14:22,220

that is applicable to Mexico City as

356

00:14:19,220 --> 00:14:24,380

well and then 3.29 percent were from

357

00:14:22,220 --> 00:14:26,540

abroad so we're going to dive into

358

00:14:24,380 --> 00:14:28,540

relationships a little bit sixty four

359

00:14:26,540 --> 00:14:31,250

point 84 percent of the respondents were

360

00:14:28,540 --> 00:14:33,740

single and when I say single I mean

361

00:14:31,250 --> 00:14:37,550

actually single not just single legally

362

00:14:33,740 --> 00:14:39,260

in terms of divorce or separation we

363

00:14:37,550 --> 00:14:40,940

allow for a lot of type of a lot of

364

00:14:39,260 --> 00:14:43,490

relational types to be represented of

365

00:14:40,940 --> 00:14:45,400

those who are in a relationship 9.0

366

00:14:43,490 --> 00:14:47,900

seven are in monogamous relationships

367

00:14:45,400 --> 00:14:51,500

26.1% are in non-monogamous

368

00:14:47,900 --> 00:14:54,260

relationships and we also wanted to get

369

00:14:51,500 --> 00:14:56,960

a little bit into our respondents social

370

00:14:54,260 --> 00:14:59,540

networks so we found that 19 percent of

371

00:14:56,960 --> 00:15:02,270

the respondents for this question ninety

372

00:14:59,540 --> 00:15:04,850

percent of them had almost all non LGBT

373

00:15:02,270 --> 00:15:07,760

friends there was eighteen point four

374

00:15:04,850 --> 00:15:10,270

that had almost exclusively LGBT friends

375

00:15:07,760 --> 00:15:13,580

but of course the majority of the sample

376

00:15:10,270 --> 00:15:15,850

63% had a mix of friends in their social

377

00:15:13,580 --> 00:15:17,560

networks

378

00:15:15,850 --> 00:15:19,149

interesting tidbit the lesbians in our

379

00:15:17,560 --> 00:15:21,339

sample were more likely to have only

380

00:15:19,149 --> 00:15:26,130

LGBT friends than the other sexual

381

00:15:21,339 --> 00:15:29,350

orientation categories cool so a fourth

382

00:15:26,130 --> 00:15:30,910

identified as being dependence you'll

383

00:15:29,350 --> 00:15:32,949

notice here that proportionally speaking

384

00:15:30,910 --> 00:15:39,990

you are less likely to have been a

385

00:15:32,949 --> 00:15:43,209

dependent if you were a sis man right

386

00:15:39,990 --> 00:15:45,750

probably for lots of reasons that have

387

00:15:43,209 --> 00:15:47,860

to do with economic positionings and

388

00:15:45,750 --> 00:15:50,170

whether or not they have access to

389

00:15:47,860 --> 00:15:53,130

certain kinds of resources right but

390

00:15:50,170 --> 00:15:54,780

then when we flip that over

391

00:15:53,130 --> 00:15:56,730

in terms of thinking about dependents

392

00:15:54,780 --> 00:15:59,460

and children right we noticed that only

393

00:15:56,730 --> 00:16:04,440

about 10% of the sample of respondents

394

00:15:59,460 --> 00:16:06,350

have children and 8% of those 10% have

395

00:16:04,440 --> 00:16:10,080

only about one or two kids

396

00:16:06,350 --> 00:16:11,940

however 30% have dependents right and so

397

00:16:10,080 --> 00:16:15,330

what that means is that well not very

398

00:16:11,940 --> 00:16:17,700

many people have children plenty of

399

00:16:15,330 --> 00:16:20,940

people do have someone perhaps a family

400

00:16:17,700 --> 00:16:23,400

member perhaps perhaps a partner who are

401

00:16:20,940 --> 00:16:25,770

financially or dependent on them in some

402

00:16:23,400 --> 00:16:27,870

sort of way and you see that when you

403

00:16:25,770 --> 00:16:30,320

look at the gay category and you look

404

00:16:27,870 --> 00:16:32,610

from kids to dependents right it it

405

00:16:30,320 --> 00:16:34,860

rises significantly afterwards so

406

00:16:32,610 --> 00:16:37,550

there's quite a few people who are

407

00:16:34,860 --> 00:16:41,250

identify as gay in this sample who are

408

00:16:37,550 --> 00:16:41,940

financially supporting others great so

409

00:16:41,250 --> 00:16:45,210

we're gonna talk a little bit about

410

00:16:41,940 --> 00:16:46,770

housing twelve point six point sixty

411

00:16:45,210 --> 00:16:47,790

seven percent of the sample stated they

412

00:16:46,770 --> 00:16:51,180

had changed their housing situation

413

00:16:47,790 --> 00:16:52,950

during the pandemic of those two-thirds

414

00:16:51,180 --> 00:16:55,500

moved to another place directly due to

415

00:16:52,950 --> 00:16:57,420

kovat related reasons so they were they

416

00:16:55,500 --> 00:16:59,670

were moving and shifting perhaps because

417

00:16:57,420 --> 00:17:01,410

they lost a job you had to move in with

418

00:16:59,670 --> 00:17:03,720

somebody else or their situation wasn't

419

00:17:01,410 --> 00:17:05,850

safe for them and from the time of the

420

00:17:03,720 --> 00:17:08,430

survey half of the participants spent

421

00:17:05,850 --> 00:17:11,010

between 26 and 50 days in quarantine was

422

00:17:08,430 --> 00:17:12,959

a mean of 38 days so keeping in mind

423

00:17:11,010 --> 00:17:14,670

that participants answered at some point

424

00:17:12,959 --> 00:17:16,680

in May so by that point they might have

425

00:17:14,670 --> 00:17:20,459

been in quarantine for a couple of weeks

426

00:17:16,680 --> 00:17:21,780

perhaps a couple of months and eighty

427

00:17:20,459 --> 00:17:23,220

four point two five percent of

428

00:17:21,780 --> 00:17:25,439

participants are living with other

429

00:17:23,220 --> 00:17:27,540

humans I say that because I'm also noted

430

00:17:25,439 --> 00:17:29,550

that they were living with their pets so

431

00:17:27,540 --> 00:17:31,880

who are they living with right you'll

432

00:17:29,550 --> 00:17:35,580

notice from the table that we have a

433

00:17:31,880 --> 00:17:38,100

combination of family significant other

434

00:17:35,580 --> 00:17:40,470

friends kids pets acquaintances the

435

00:17:38,100 --> 00:17:42,450

multiple category says that there at

436

00:17:40,470 --> 00:17:43,530

least living with two or more of the

437

00:17:42,450 --> 00:17:46,050

above categories

438

00:17:43,530 --> 00:17:47,790

so there's 36 point 26 percent that are

439

00:17:46,050 --> 00:17:49,650

exclusively living with family members

440

00:17:47,790 --> 00:17:50,760

but then the next highest are the

441

00:17:49,650 --> 00:17:52,740

multiple which means that they're living

442

00:17:50,760 --> 00:17:54,450

with a combination of significant others

443

00:17:52,740 --> 00:17:56,970

friends with their kids with their pets

444

00:17:54,450 --> 00:17:58,800

and then who are completely by

445

00:17:56,970 --> 00:18:02,000

themselves without any pets you see that

446

00:17:58,800 --> 00:18:03,410

that gets closer to 10% of the sample

447

00:18:02,000 --> 00:18:07,570

all right now we're gonna dive a little

448

00:18:03,410 --> 00:18:09,620

bit into health effects so we had

449

00:18:07,570 --> 00:18:12,890

multiple questions that dealt with

450

00:18:09,620 --> 00:18:14,870

feelings and sensations that respondents

451

00:18:12,890 --> 00:18:16,700

were feeling or going through during

452

00:18:14,870 --> 00:18:19,340

this time and we grouped them into

453

00:18:16,700 --> 00:18:21,050

negative and positive emotions you'll

454

00:18:19,340 --> 00:18:22,850

notice that eighty six point seven two

455

00:18:21,050 --> 00:18:25,280

percent we're feeling a combination of

456

00:18:22,850 --> 00:18:28,130

negative emotions right but there's also

457

00:18:25,280 --> 00:18:30,710

some people for whom the pandemic has

458

00:18:28,130 --> 00:18:31,640

actually been helpful right perhaps

459

00:18:30,710 --> 00:18:33,590

because they have more time at home

460

00:18:31,640 --> 00:18:36,170

there's a lot of reasons that that could

461

00:18:33,590 --> 00:18:39,080

be so you'll notice here from this word

462

00:18:36,170 --> 00:18:41,300

cloud that we have all of the different

463

00:18:39,080 --> 00:18:42,740

options and sensations some of which

464

00:18:41,300 --> 00:18:43,790

respondents were allowed to write in

465

00:18:42,740 --> 00:18:47,000

place together

466

00:18:43,790 --> 00:18:48,830

the most common feeling was just stress

467

00:18:47,000 --> 00:18:51,740

feeling stressed feeling Restless

468

00:18:48,830 --> 00:18:53,450

feeling insecure afraid but then like I

469

00:18:51,740 --> 00:18:55,580

said there are some participants who

470

00:18:53,450 --> 00:18:58,970

feel more relaxed it's a more stable and

471

00:18:55,580 --> 00:19:00,890

more calm but overall the pandemic and

472

00:18:58,970 --> 00:19:02,120

all of its consequences are creating a

473

00:19:00,890 --> 00:19:07,640

lot of negative health effects

474

00:19:02,120 --> 00:19:10,430

eventually speaking so to speaks

475

00:19:07,640 --> 00:19:12,020

directly to sleep outcomes ten percent

476

00:19:10,430 --> 00:19:14,420

of the respondents reported

477

00:19:12,020 --> 00:19:17,300

extraordinary dreams a third of them are

478

00:19:14,420 --> 00:19:19,940

sleeping more than usual but 57 percent

479

00:19:17,300 --> 00:19:21,740

are sleeping less than usual so what our

480

00:19:19,940 --> 00:19:24,760

key being what's keeping people up at

481

00:19:21,740 --> 00:19:27,530

night well it could be some of these

482

00:19:24,760 --> 00:19:30,560

issues that we have on this table right

483

00:19:27,530 --> 00:19:31,970

kovat 19 related concerns which talk

484

00:19:30,560 --> 00:19:33,500

about health concerns talk about

485

00:19:31,970 --> 00:19:35,870

interpersonal conflict losing work

486

00:19:33,500 --> 00:19:37,730

caching Kovan what's interesting here as

487

00:19:35,870 --> 00:19:40,340

well notice that the highest cumulative

488

00:19:37,730 --> 00:19:42,260

percentage in terms of selections was

489

00:19:40,340 --> 00:19:44,600

the economy in the state of the country

490

00:19:42,260 --> 00:19:47,330

right so really what's keeping people up

491

00:19:44,600 --> 00:19:49,270

at night is how mexico is going through

492

00:19:47,330 --> 00:19:52,010

this I mean I can say that the vessel

493

00:19:49,270 --> 00:19:54,470

depreciated already significantly and

494

00:19:52,010 --> 00:19:56,300

you know economic situations are really

495

00:19:54,470 --> 00:19:58,580

what people are concerned with then

496

00:19:56,300 --> 00:20:00,530

followed by loved ones catching Cove in

497

00:19:58,580 --> 00:20:02,919

nineteen among other types of concerns

498

00:20:00,530 --> 00:20:05,429

that you can see here

499

00:20:02,919 --> 00:20:05,429

all right

500

00:20:06,179 --> 00:20:12,480

so 56% of the respondents to this

501

00:20:10,529 --> 00:20:15,210

question self-reported at least one of

502

00:20:12,480 --> 00:20:16,799

the following conditions right so these

503

00:20:15,210 --> 00:20:20,129

conditions were picked in terms of their

504

00:20:16,799 --> 00:20:22,230

high risk potential for having

505

00:20:20,129 --> 00:20:24,419

complications or death if you were to

506

00:20:22,230 --> 00:20:27,240

catch kovat 19 so you see we have

507

00:20:24,419 --> 00:20:29,820

obesity HIV cardiovascular disease and

508

00:20:27,240 --> 00:20:32,759

issues and so I want to say that this

509

00:20:29,820 --> 00:20:34,889

56% is quite quite noticeable and

510

00:20:32,759 --> 00:20:37,289

significant just for the fact that these

511

00:20:34,889 --> 00:20:39,389

sorts of questions tend to receive under

512

00:20:37,289 --> 00:20:41,879

reporting and so the fact that that many

513

00:20:39,389 --> 00:20:43,679

people were able to say yes I have these

514

00:20:41,879 --> 00:20:46,110

sorts of conditions and they're you know

515

00:20:43,679 --> 00:20:48,990

concerning for me shows just how much

516

00:20:46,110 --> 00:20:51,149

this sample population has these health

517

00:20:48,990 --> 00:20:55,190

concerns right and like I said since we

518

00:20:51,149 --> 00:20:58,499

are representing mostly this and gay men

519

00:20:55,190 --> 00:21:01,639

fact that HIV is large on this word

520

00:20:58,499 --> 00:21:01,639

cloud is also not surprising

521

00:21:02,660 --> 00:21:07,200

but what's also interesting note is that

522

00:21:04,890 --> 00:21:08,730

although everyone for the most part has

523

00:21:07,200 --> 00:21:11,580

been quarantine for different amounts of

524

00:21:08,730 --> 00:21:12,990

time no one has actually stayed home

525

00:21:11,580 --> 00:21:14,850

right there are very few people who have

526

00:21:12,990 --> 00:21:17,220

actually stayed home everyone has had to

527

00:21:14,850 --> 00:21:19,140

leave for one reason or another mostly

528

00:21:17,220 --> 00:21:21,270

to buy food and errands as you see with

529

00:21:19,140 --> 00:21:23,970

the bold at forty five point seventy

530

00:21:21,270 --> 00:21:25,410

nine percent right and then you can you

531

00:21:23,970 --> 00:21:27,990

can see other reasons like visiting

532

00:21:25,410 --> 00:21:29,730

family recreation walking your dog going

533

00:21:27,990 --> 00:21:31,320

to school work and I just wanted to

534

00:21:29,730 --> 00:21:34,740

point out that even though our

535

00:21:31,320 --> 00:21:36,780

participants um mostly said that they

536

00:21:34,740 --> 00:21:38,250

were quarantine II you still have these

537

00:21:36,780 --> 00:21:39,930

instances of leaving and visiting

538

00:21:38,250 --> 00:21:41,310

members of other households right and so

539

00:21:39,930 --> 00:21:44,040

these sort of competing understandings

540

00:21:41,310 --> 00:21:48,180

of what constitutes being separated and

541

00:21:44,040 --> 00:21:50,810

not separated and leaving your home so

542

00:21:48,180 --> 00:21:53,520

now we're going to get a little bit into

543

00:21:50,810 --> 00:21:57,810

finding information related to go of it

544

00:21:53,520 --> 00:22:00,710

nineteen you'll see here these two way

545

00:21:57,810 --> 00:22:03,960

tables with chi-square computed and

546

00:22:00,710 --> 00:22:05,490

specifically looking at a tabulation of

547

00:22:03,960 --> 00:22:07,710

the frequency that one looks for

548

00:22:05,490 --> 00:22:11,040

information and COBIT related

549

00:22:07,710 --> 00:22:13,140

developments by lgbtq+ status of sexual

550

00:22:11,040 --> 00:22:15,030

orientation and then gender and sex

551

00:22:13,140 --> 00:22:17,550

so here looking at a gender identity but

552

00:22:15,030 --> 00:22:19,880

looking at sis man sis woman and all

553

00:22:17,550 --> 00:22:22,440

folks under the trans umbrella were

554

00:22:19,880 --> 00:22:24,300

aggregated together right so what you'll

555

00:22:22,440 --> 00:22:27,360

notice is that the p-values for both are

556

00:22:24,300 --> 00:22:29,310

less than point zero five and that's are

557

00:22:27,360 --> 00:22:31,140

statistically significant it doesn't

558

00:22:29,310 --> 00:22:33,240

tell us which grouping specifically this

559

00:22:31,140 --> 00:22:35,820

applies to but we can note that gender

560

00:22:33,240 --> 00:22:38,550

and sex sexual orientation when compared

561

00:22:35,820 --> 00:22:40,260

to the frequency of news are not

562

00:22:38,550 --> 00:22:42,030

independent of each other right there's

563

00:22:40,260 --> 00:22:44,870

a statistically significant relationship

564

00:22:42,030 --> 00:22:48,690

between them um I also just want to

565

00:22:44,870 --> 00:22:51,780

point out really quickly that while most

566

00:22:48,690 --> 00:22:55,880

people in both of these categories right

567

00:22:51,780 --> 00:22:58,200

we're checking the news daily gay

568

00:22:55,880 --> 00:23:00,990

respondents who identified as gay right

569

00:22:58,200 --> 00:23:03,090

or respondents who are assist men were

570

00:23:00,990 --> 00:23:04,680

more likely to check various times a day

571

00:23:03,090 --> 00:23:07,940

so they're actually cycling through the

572

00:23:04,680 --> 00:23:07,940

news more often

573

00:23:08,460 --> 00:23:11,980

where were they getting their kovat

574

00:23:10,480 --> 00:23:13,750

related developments and information

575

00:23:11,980 --> 00:23:15,789

from well there's a combination of

576

00:23:13,750 --> 00:23:18,580

sources that we have here in this table

577

00:23:15,789 --> 00:23:20,140

and you'll notice things like

578

00:23:18,580 --> 00:23:22,510

international sources academic

579

00:23:20,140 --> 00:23:24,400

scientific articles right looking at

580

00:23:22,510 --> 00:23:26,020

social media and actually the most

581

00:23:24,400 --> 00:23:27,880

popular place to go and get your

582

00:23:26,020 --> 00:23:30,159

information about kovat about public

583

00:23:27,880 --> 00:23:31,690

developments was social media right and

584

00:23:30,159 --> 00:23:33,669

then if you add that to the YouTube

585

00:23:31,690 --> 00:23:34,990

category it's even more right which

586

00:23:33,669 --> 00:23:37,120

means people are going on these websites

587

00:23:34,990 --> 00:23:38,710

perhaps looking at articles that friends

588

00:23:37,120 --> 00:23:40,299

have shared or experiences that they

589

00:23:38,710 --> 00:23:42,279

have shared online and that's where

590

00:23:40,299 --> 00:23:44,320

they're getting their information but

591

00:23:42,279 --> 00:23:46,659

second up which I find interesting is

592

00:23:44,320 --> 00:23:47,740

specifically communications from locust

593

00:23:46,659 --> 00:23:51,640

fm

594

00:23:47,740 --> 00:23:53,620

who is the Undersecretary of prevention

595

00:23:51,640 --> 00:23:55,980

and health promotion here in Mexico and

596

00:23:53,620 --> 00:24:00,549

has been really the face in a lot of

597

00:23:55,980 --> 00:24:03,970

outward news reporting about what's

598

00:24:00,549 --> 00:24:05,590

going on in terms of Mexico Mexico City

599

00:24:03,970 --> 00:24:09,730

developments Mexico more broadly in

600

00:24:05,590 --> 00:24:12,520

terms of covin okay so now we're going

601

00:24:09,730 --> 00:24:16,539

to get a little bit into kovin 19 cases

602

00:24:12,520 --> 00:24:20,110

within respondents social networks 39

603

00:24:16,539 --> 00:24:21,640

point 37 percent of respondents said

604

00:24:20,110 --> 00:24:24,490

that they knew someone who had taken a

605

00:24:21,640 --> 00:24:25,960

Kobe 19 test I think that this is a

606

00:24:24,490 --> 00:24:27,429

really big deal because it's actually

607

00:24:25,960 --> 00:24:28,890

quite difficult to get your hands on

608

00:24:27,429 --> 00:24:30,730

these tests unless you are severely

609

00:24:28,890 --> 00:24:33,190

demonstrating symptoms were already in

610

00:24:30,730 --> 00:24:34,840

the hospital for you know you do what I

611

00:24:33,190 --> 00:24:37,779

did and I muscled my way and made

612

00:24:34,840 --> 00:24:40,149

someone give me a Cova test but the

613

00:24:37,779 --> 00:24:41,890

other thing to note is that 28 point 66

614

00:24:40,149 --> 00:24:43,179

percent of respondents to this question

615

00:24:41,890 --> 00:24:44,860

said they knew someone who had been

616

00:24:43,179 --> 00:24:47,799

hospitalized in the last five months

617

00:24:44,860 --> 00:24:49,870

with Kovac 19 or quote atypical

618

00:24:47,799 --> 00:24:52,029

pneumonia the reason we decided to put

619

00:24:49,870 --> 00:24:54,210

that in the question is because there's

620

00:24:52,029 --> 00:24:57,340

a somewhat I think politically motivated

621

00:24:54,210 --> 00:24:59,409

reason to label certain cases as

622

00:24:57,340 --> 00:25:00,580

atypical pneumonia it's been on the news

623

00:24:59,409 --> 00:25:02,860

it's been in different kinds of

624

00:25:00,580 --> 00:25:06,130

discussions about how when marginalized

625

00:25:02,860 --> 00:25:08,169

populations or poor populations are sick

626

00:25:06,130 --> 00:25:09,490

and dying a disproportionate rates for

627

00:25:08,169 --> 00:25:12,580

what we call this atypical pneumonia

628

00:25:09,490 --> 00:25:14,350

it's a way of being able to label it

629

00:25:12,580 --> 00:25:15,669

without calling it koban and most of

630

00:25:14,350 --> 00:25:17,350

that has to do with the fact that those

631

00:25:15,669 --> 00:25:19,149

coded tests are not being made easily

632

00:25:17,350 --> 00:25:19,900

available they're not being taken

633

00:25:19,149 --> 00:25:22,450

sufficiently

634

00:25:19,900 --> 00:25:24,930

so it's difficult to know but it's also

635

00:25:22,450 --> 00:25:27,430

a sort of coded way of knowing that

636

00:25:24,930 --> 00:25:31,000

there's a great likelihood those cases

637

00:25:27,430 --> 00:25:32,230

could have been Kovac related and I just

638

00:25:31,000 --> 00:25:33,700

want to put it out there the official

639

00:25:32,230 --> 00:25:37,300

reports in Mexico marked the mortality

640

00:25:33,700 --> 00:25:39,130

at 12% right so what happened to these

641

00:25:37,300 --> 00:25:40,600

folks who were in the hospital or they

642

00:25:39,130 --> 00:25:44,800

knew people who had been hospitalized

643

00:25:40,600 --> 00:25:48,010

with kovat well as you can see here it

644

00:25:44,800 --> 00:25:52,930

wasn't that great right so out of the 88

645

00:25:48,010 --> 00:25:54,310

instances 42.0 5% died right which means

646

00:25:52,930 --> 00:25:56,440

by the time they got to the hospital the

647

00:25:54,310 --> 00:25:58,450

condition was so severe and there

648

00:25:56,440 --> 00:26:01,030

weren't perhaps enough resources that

649

00:25:58,450 --> 00:26:04,030

they died but then we also have 30 point

650

00:26:01,030 --> 00:26:06,430

68 percent of people whom are improving

651

00:26:04,030 --> 00:26:08,200

there's a good percentage of people who

652

00:26:06,430 --> 00:26:10,090

just didn't know what happened to the

653

00:26:08,200 --> 00:26:12,550

folks after they were admitted to the

654

00:26:10,090 --> 00:26:14,770

hospital but I think it's interesting to

655

00:26:12,550 --> 00:26:18,250

note that quite a few people in the

656

00:26:14,770 --> 00:26:20,320

sample right know someone who has been

657

00:26:18,250 --> 00:26:23,400

deeply affected by this and a lot of

658

00:26:20,320 --> 00:26:23,400

people who have passed away

659

00:26:23,590 --> 00:26:27,470

all right so getting into some health

660

00:26:25,880 --> 00:26:29,570

strategies we're gonna look at our

661

00:26:27,470 --> 00:26:31,130

question 34 from the survey what

662

00:26:29,570 --> 00:26:33,830

measures have you taken to avoid the

663

00:26:31,130 --> 00:26:36,290

spread of coded 19 so we had a

664

00:26:33,830 --> 00:26:39,260

combination of measures that respondents

665

00:26:36,290 --> 00:26:40,820

were able to pick those that applied the

666

00:26:39,260 --> 00:26:42,950

ones that stand out the most that most

667

00:26:40,820 --> 00:26:45,530

respondents are clicking on or

668

00:26:42,950 --> 00:26:47,420

participating with in some way is using

669

00:26:45,530 --> 00:26:49,310

a mask right we're covering their coughs

670

00:26:47,420 --> 00:26:50,840

and sneezes and you can see these other

671

00:26:49,310 --> 00:26:53,270

protective measures like staying home

672

00:26:50,840 --> 00:26:56,050

washing your hands measures that have

673

00:26:53,270 --> 00:26:58,220

been promoted through the news through

674

00:26:56,050 --> 00:27:00,050

sort of health media sites and

675

00:26:58,220 --> 00:27:02,120

professionals and scientists right so

676

00:27:00,050 --> 00:27:03,620

most people are trying to take these

677

00:27:02,120 --> 00:27:05,299

measures and and those are the ones that

678

00:27:03,620 --> 00:27:07,489

are most common

679

00:27:05,299 --> 00:27:08,809

and then question 20 by what method do

680

00:27:07,489 --> 00:27:10,820

you stay connected with your friends

681

00:27:08,809 --> 00:27:13,159

during koban 19 we specifically asked

682

00:27:10,820 --> 00:27:15,590

this for mental health reasons right to

683

00:27:13,159 --> 00:27:18,139

think about how it's important for your

684

00:27:15,590 --> 00:27:21,529

health to be socially close even if

685

00:27:18,139 --> 00:27:23,480

you're physically distant and we have

686

00:27:21,529 --> 00:27:25,159

the this you know this rise in video

687

00:27:23,480 --> 00:27:26,779

calls in virtual spaces right that's

688

00:27:25,159 --> 00:27:28,639

mostly what people are doing they're

689

00:27:26,779 --> 00:27:32,239

using these technical technological

690

00:27:28,639 --> 00:27:33,919

solutions and medium from which to to

691

00:27:32,239 --> 00:27:35,450

connect with each other right and so

692

00:27:33,919 --> 00:27:37,879

virtual spaces are a combination of

693

00:27:35,450 --> 00:27:39,889

social media workshops right I mean

694

00:27:37,879 --> 00:27:41,299

right now we're on a zoom call and

695

00:27:39,889 --> 00:27:41,960

that's what people are connecting with

696

00:27:41,299 --> 00:27:44,690

each other

697

00:27:41,960 --> 00:27:46,429

some organizations here that I have been

698

00:27:44,690 --> 00:27:47,869

following have also moved quite a few of

699

00:27:46,429 --> 00:27:50,299

their activities to online and virtual

700

00:27:47,869 --> 00:27:53,539

spaces so that's and that's important to

701

00:27:50,299 --> 00:27:55,669

note and now we're gonna dive a little

702

00:27:53,539 --> 00:27:59,389

bit deeper in terms of our statistical

703

00:27:55,669 --> 00:28:00,710

analysis question 30 and 35 was asking

704

00:27:59,389 --> 00:28:03,019

about participants mental and physical

705

00:28:00,710 --> 00:28:04,639

health behavior before and after the

706

00:28:03,019 --> 00:28:08,359

start of Kovach 19 whatever they

707

00:28:04,639 --> 00:28:11,659

self-reported right and so here we have

708

00:28:08,359 --> 00:28:13,399

a pairwise correlation of these

709

00:28:11,659 --> 00:28:15,259

different kinds of behaviors right these

710

00:28:13,399 --> 00:28:18,769

self-reported health habits before and

711

00:28:15,259 --> 00:28:21,950

after the start of coded 19 so

712

00:28:18,769 --> 00:28:25,700

essentially what's important to to note

713

00:28:21,950 --> 00:28:28,220

here is that we're looking at behaviors

714

00:28:25,700 --> 00:28:30,999

like exercise mindfulness eating healthy

715

00:28:28,220 --> 00:28:34,429

therapy meds and we're looking at the

716

00:28:30,999 --> 00:28:36,440

relationships between practicing those

717

00:28:34,429 --> 00:28:38,539

and practicing other healthy habits as

718

00:28:36,440 --> 00:28:40,730

well as the relationship between doing

719

00:28:38,539 --> 00:28:43,309

it prior to the start of covered 19 and

720

00:28:40,730 --> 00:28:45,109

after the start of 19 right so this

721

00:28:43,309 --> 00:28:46,940

table of correlations between various

722

00:28:45,109 --> 00:28:50,029

health habits precoded and after the

723

00:28:46,940 --> 00:28:51,739

start of kovat indicate the correlation

724

00:28:50,029 --> 00:28:53,690

between two variables artistically

725

00:28:51,739 --> 00:28:56,299

significant regarding their relationship

726

00:28:53,690 --> 00:29:00,379

to one another and you'll notice that

727

00:28:56,299 --> 00:29:02,480

the blue highlight is doing pre to pre

728

00:29:00,379 --> 00:29:04,940

right the yellow is looking after

729

00:29:02,480 --> 00:29:07,580

started college before coated and then

730

00:29:04,940 --> 00:29:12,999

the orange is looking at after behaviors

731

00:29:07,580 --> 00:29:12,999

two other behaviors so

732

00:29:13,120 --> 00:29:18,519

basically and to say this shows that

733

00:29:15,940 --> 00:29:20,259

it's the difference level at 0.05 so

734

00:29:18,519 --> 00:29:23,740

it's it's related here but digging a

735

00:29:20,259 --> 00:29:25,840

little bit deeper a couple of the

736

00:29:23,740 --> 00:29:28,860

behaviors so one of them being therapy

737

00:29:25,840 --> 00:29:32,019

or medication by gender and sex right

738

00:29:28,860 --> 00:29:38,679

here the reference group is sis men and

739

00:29:32,019 --> 00:29:40,779

this is sorry um this is a linear

740

00:29:38,679 --> 00:29:43,269

probability model right and essentially

741

00:29:40,779 --> 00:29:45,669

what we're demonstrating here if you

742

00:29:43,269 --> 00:29:48,340

look at the highlighted point right is

743

00:29:45,669 --> 00:29:50,320

that in comparison to sis men only trans

744

00:29:48,340 --> 00:29:51,999

folks showed a statistically significant

745

00:29:50,320 --> 00:29:55,149

relationship with a negative correlation

746

00:29:51,999 --> 00:29:57,580

of 25% regarding their engagement and

747

00:29:55,149 --> 00:29:59,200

therapy pre and post open so that was

748

00:29:57,580 --> 00:30:02,139

really the difference that they were

749

00:29:59,200 --> 00:30:03,909

less likely to engage in meds and taking

750

00:30:02,139 --> 00:30:06,460

medication or engaging in therapy and

751

00:30:03,909 --> 00:30:08,559

just anecdotally to add some context to

752

00:30:06,460 --> 00:30:10,899

that I'd have been part of different

753

00:30:08,559 --> 00:30:12,820

conversations and and information

754

00:30:10,899 --> 00:30:13,929

spreading where trans folks we're

755

00:30:12,820 --> 00:30:15,279

talking about the difficulty of

756

00:30:13,929 --> 00:30:17,950

receiving care and that type of

757

00:30:15,279 --> 00:30:20,710

discrimination how they've not been able

758

00:30:17,950 --> 00:30:24,580

to have as much access to specific

759

00:30:20,710 --> 00:30:27,129

gender affirmation medication and other

760

00:30:24,580 --> 00:30:28,690

types of services and you know I wonder

761

00:30:27,129 --> 00:30:31,659

out loud if that has anything to do with

762

00:30:28,690 --> 00:30:34,539

that difference and then specifically

763

00:30:31,659 --> 00:30:36,190

looking at exercise by gender sex with

764

00:30:34,539 --> 00:30:38,769

the reference group being sis women

765

00:30:36,190 --> 00:30:40,269

again we noticed that only trans folks

766

00:30:38,769 --> 00:30:41,740

showed a statistically significant

767

00:30:40,269 --> 00:30:44,110

relationship right with a negative

768

00:30:41,740 --> 00:30:46,629

correlation of 30% regarding their

769

00:30:44,110 --> 00:30:50,049

engagement and exercise compared to sis

770

00:30:46,629 --> 00:30:51,759

women and so um this is just a an

771

00:30:50,049 --> 00:30:54,340

example of how we're diving a little bit

772

00:30:51,759 --> 00:30:56,080

deeper into the variables right and

773

00:30:54,340 --> 00:30:57,460

different types of relationships and the

774

00:30:56,080 --> 00:31:00,009

strategies that we're going to be using

775

00:30:57,460 --> 00:31:01,740

moving forward to compare other types of

776

00:31:00,009 --> 00:31:05,080

variables and other types of behaviors

777

00:31:01,740 --> 00:31:07,080

by demographic identities right or by

778

00:31:05,080 --> 00:31:10,330

sexual orientation

779

00:31:07,080 --> 00:31:12,610

great so I'd be happy to answer any

780

00:31:10,330 --> 00:31:14,230

questions that anyone has and I can you

781

00:31:12,610 --> 00:31:17,019

know talk more about what I presented in

782

00:31:14,230 --> 00:31:18,429

the presentation but I also have

783

00:31:17,019 --> 00:31:21,159

questions for the audience if anyone

784

00:31:18,429 --> 00:31:23,200

would like to give some suggestions for

785

00:31:21,159 --> 00:31:26,200

how we can think about the relationship

786

00:31:23,200 --> 00:31:26,860

between certain variables or how we can

787

00:31:26,200 --> 00:31:30,130

move

788

00:31:26,860 --> 00:31:32,470

with doing our comparisons whether it's

789

00:31:30,130 --> 00:31:34,149

quantitatively or qualitatively I'm

790

00:31:32,470 --> 00:31:37,059

happy to hear any type of suggestions

791

00:31:34,149 --> 00:31:39,370

than anyone has or advice for moving

792

00:31:37,059 --> 00:31:40,510

forward with analyzing our survey

793

00:31:39,370 --> 00:31:44,070

results because these are preliminary

794

00:31:40,510 --> 00:31:47,529

results and thank you very much

795

00:31:44,070 --> 00:31:49,809

thank you thank you Christina thank you

796

00:31:47,529 --> 00:31:53,470

very much for your presentation very

797

00:31:49,809 --> 00:31:59,919

very interesting highlighting the impact

798

00:31:53,470 --> 00:32:03,279

of copied 19 on this lgbtq+ community as

799

00:31:59,919 --> 00:32:06,370

well as you know the larger impacts of

800

00:32:03,279 --> 00:32:09,010

copy 19 I think in Mexico City in

801

00:32:06,370 --> 00:32:11,710

particular because of the relationships

802

00:32:09,010 --> 00:32:15,010

that folks have with the community in

803

00:32:11,710 --> 00:32:19,720

general and in how you know they are

804

00:32:15,010 --> 00:32:24,010

responding to these extraordinary public

805

00:32:19,720 --> 00:32:28,809

health emergency so now we invite

806

00:32:24,010 --> 00:32:31,179

actually our audience to use the Q&A

807

00:32:28,809 --> 00:32:37,059

function for those who are connected via

808

00:32:31,179 --> 00:32:39,399

zoom and as or post some questions to

809

00:32:37,059 --> 00:32:42,340

Christina as she mentioned she is also

810

00:32:39,399 --> 00:32:46,179

taking suggestions on you know potential

811

00:32:42,340 --> 00:32:48,519

directions for the analysis of Abhi's of

812

00:32:46,179 --> 00:32:52,659

this survey I mean these are as she as

813

00:32:48,519 --> 00:32:55,000

she just said these are you know early

814

00:32:52,659 --> 00:32:57,820

preliminary results there's much that

815

00:32:55,000 --> 00:33:02,250

lies ahead in terms of of the analysis

816

00:32:57,820 --> 00:33:04,840

of a survey that is you know

817

00:33:02,250 --> 00:33:08,019

particularly rich in terms of the many

818

00:33:04,840 --> 00:33:10,090

different things that you guys ask your

819

00:33:08,019 --> 00:33:12,610

respondents and the kinds of comparisons

820

00:33:10,090 --> 00:33:14,710

like you like you actually can make with

821

00:33:12,610 --> 00:33:17,139

different with different populations as

822

00:33:14,710 --> 00:33:21,850

well so if you have any questions you

823

00:33:17,139 --> 00:33:25,299

can you can use the Q&A function let me

824

00:33:21,850 --> 00:33:27,429

see that we have a Longhorn and this is

825

00:33:25,299 --> 00:33:31,510

asking in Spanish okay Chris Cassidy ba

826

00:33:27,429 --> 00:33:35,519

ma respuesta de hombres sis gay Allen

827

00:33:31,510 --> 00:33:35,519

questa que otra gente Dallas

828

00:33:35,710 --> 00:33:43,150

should I go ahead so I think it's a

829

00:33:39,820 --> 00:33:47,170

combination of sampling right so in

830

00:33:43,150 --> 00:33:49,780

terms of who distributed the survey

831

00:33:47,170 --> 00:33:51,880

which networks it was able to get to I

832

00:33:49,780 --> 00:33:53,920

think that I was connected to these

833

00:33:51,880 --> 00:33:55,510

organizations and individuals whom

834

00:33:53,920 --> 00:33:56,830

perhaps most of the people who are

835

00:33:55,510 --> 00:33:59,410

interested or part of those networks

836

00:33:56,830 --> 00:34:01,270

were men I also want to say that there

837

00:33:59,410 --> 00:34:04,600

was a survey that was more of a needs

838

00:34:01,270 --> 00:34:07,030

assessment but was released by an

839

00:34:04,600 --> 00:34:09,550

organization called Musa right and the

840

00:34:07,030 --> 00:34:11,350

reason I mentioned that is because there

841

00:34:09,550 --> 00:34:13,030

were a couple of questions that tied in

842

00:34:11,350 --> 00:34:14,950

really nicely and I actually am a

843

00:34:13,030 --> 00:34:16,690

communication with them I'd love to you

844

00:34:14,950 --> 00:34:18,790

know cite their work to talk even more

845

00:34:16,690 --> 00:34:20,980

about the power of our survey and they

846

00:34:18,790 --> 00:34:23,770

actually had over representation of

847

00:34:20,980 --> 00:34:25,419

women right and so I think what that was

848

00:34:23,770 --> 00:34:29,020

was a combination perhaps of the

849

00:34:25,419 --> 00:34:30,640

network's in terms of the survey

850

00:34:29,020 --> 00:34:33,520

circulating but also maybe perhaps

851

00:34:30,640 --> 00:34:35,440

survey fatigue right I mean by the time

852

00:34:33,520 --> 00:34:37,780

that ours was released some of these

853

00:34:35,440 --> 00:34:39,429

networks overlap perhaps these women

854

00:34:37,780 --> 00:34:41,230

were more interested in taking a survey

855

00:34:39,429 --> 00:34:42,280

where they were specifically asked to

856

00:34:41,230 --> 00:34:45,429

talk about the issues they're having

857

00:34:42,280 --> 00:34:47,169

that was going to be addressed by a you

858

00:34:45,429 --> 00:34:48,700

know civil society organization as

859

00:34:47,169 --> 00:34:51,520

opposed to what we were doing which was

860

00:34:48,700 --> 00:34:53,530

you know mostly purely for academic

861

00:34:51,520 --> 00:34:57,790

reasons right so that could have been

862

00:34:53,530 --> 00:35:00,100

part of it I think you think - Kristina

863

00:34:57,790 --> 00:35:03,640

and Amy I don't know there any other

864

00:35:00,100 --> 00:35:05,380

questions you nacio alone so Vera do

865

00:35:03,640 --> 00:35:08,910

score along such question is very

866

00:35:05,380 --> 00:35:12,640

relevant all surveys surveys cater to

867

00:35:08,910 --> 00:35:15,700

LGBT tiq groups have another

868

00:35:12,640 --> 00:35:17,910

presentation of CS gay men so it's kind

869

00:35:15,700 --> 00:35:21,130

of like delving into the this particular

870

00:35:17,910 --> 00:35:24,570

issue of overall representation of a

871

00:35:21,130 --> 00:35:24,570

particular group

872

00:35:25,960 --> 00:35:32,329

at least in Mexico Ignacio says so yes

873

00:35:29,809 --> 00:35:35,960

appear something that was faced by

874

00:35:32,329 --> 00:35:39,759

different by folks doing these kinds of

875

00:35:35,960 --> 00:35:42,619

inquiries these kinds of exercises right

876

00:35:39,759 --> 00:35:44,869

I mean I do have another comment on that

877

00:35:42,619 --> 00:35:47,779

which is essentially it's the same

878

00:35:44,869 --> 00:35:49,430

reason why any type of researcher has

879

00:35:47,779 --> 00:35:52,219

issues with hard-to-reach populations

880

00:35:49,430 --> 00:35:54,349

right I mean essentially it's what is it

881

00:35:52,219 --> 00:35:57,549

in it for them right most women most

882

00:35:54,349 --> 00:36:01,069

trans folks they might not want to be

883

00:35:57,549 --> 00:36:03,460

participating in certain types of hmm I

884

00:36:01,069 --> 00:36:05,749

guess studies or certain types of

885

00:36:03,460 --> 00:36:07,940

insights into their lives if there's not

886

00:36:05,749 --> 00:36:10,700

a clear incentive there right I mean it

887

00:36:07,940 --> 00:36:12,049

might be something that you know we

888

00:36:10,700 --> 00:36:13,670

needed to work on in terms of like

889

00:36:12,049 --> 00:36:14,809

resources right and I would have loved

890

00:36:13,670 --> 00:36:17,119

to be able to just give every

891

00:36:14,809 --> 00:36:20,170

participant a certain amount and like I

892

00:36:17,119 --> 00:36:22,640

said perhaps more of that part of the

893

00:36:20,170 --> 00:36:25,160

population would have been likely to

894

00:36:22,640 --> 00:36:28,039

respond to other types of inquiries that

895

00:36:25,160 --> 00:36:29,779

were going to directly benefit them in a

896

00:36:28,039 --> 00:36:31,969

particular way then perhaps something

897

00:36:29,779 --> 00:36:35,900

like this right so it's always

898

00:36:31,969 --> 00:36:39,079

complicated but you know they were good

899

00:36:35,900 --> 00:36:42,609

Alison Ramirez is asking how has

900

00:36:39,079 --> 00:36:47,089

respondents socioeconomic status during

901

00:36:42,609 --> 00:36:48,710

co-ed our hobby if I understand

902

00:36:47,089 --> 00:36:52,039

correctly how was the respondent

903

00:36:48,710 --> 00:36:54,170

socioeconomic status impacted or how did

904

00:36:52,039 --> 00:36:56,690

it impact their methods of self-care

905

00:36:54,170 --> 00:36:58,069

self-care you're in college yeah that's

906

00:36:56,690 --> 00:37:00,529

a great question so we asked about

907

00:36:58,069 --> 00:37:02,479

occupation we asked about education but

908

00:37:00,529 --> 00:37:05,329

we didn't have a question that directly

909

00:37:02,479 --> 00:37:07,579

told them to you know tell us how much

910

00:37:05,329 --> 00:37:10,219

money they make and had part of that had

911

00:37:07,579 --> 00:37:12,950

to do with just trying to make this

912

00:37:10,219 --> 00:37:14,930

survey very specific to a Mexican

913

00:37:12,950 --> 00:37:16,700

audience right and so that those kinds

914

00:37:14,930 --> 00:37:18,440

of questions aren't asked as much in the

915

00:37:16,700 --> 00:37:19,940

types of surveys that I was consulting

916

00:37:18,440 --> 00:37:21,829

with that were given to Mexican

917

00:37:19,940 --> 00:37:23,420

audiences which is one of the reason why

918

00:37:21,829 --> 00:37:25,009

I thought that it would be an

919

00:37:23,420 --> 00:37:27,950

interesting experience to ask this

920

00:37:25,009 --> 00:37:29,479

population about race and ethnicity but

921

00:37:27,950 --> 00:37:32,539

of course like I said it is a highly

922

00:37:29,479 --> 00:37:34,430

educated population most of them live in

923

00:37:32,539 --> 00:37:36,529

the most palliative what them again Bini

924

00:37:34,430 --> 00:37:38,789

coladas of which a lot of the housing

925

00:37:36,529 --> 00:37:40,919

stock here is more expensive I'm

926

00:37:38,789 --> 00:37:42,839

in the municipality beneath the waters

927

00:37:40,919 --> 00:37:46,349

so I assumed that some of them do have

928

00:37:42,839 --> 00:37:47,910

means but it's also hard to say right I

929

00:37:46,349 --> 00:37:50,849

mean I think it was really interesting

930

00:37:47,910 --> 00:37:53,309

to see that trans folks were engaging in

931

00:37:50,849 --> 00:37:56,669

less exercise right in comparison to the

932

00:37:53,309 --> 00:38:00,059

reference groups were not engaging in

933

00:37:56,669 --> 00:38:02,039

therapy or peeing as my vacation is the

934

00:38:00,059 --> 00:38:03,900

other reference groups I'm sure if we

935

00:38:02,039 --> 00:38:05,849

play with the variables more we'll see

936

00:38:03,900 --> 00:38:06,599

some of those sorts of things and why

937

00:38:05,849 --> 00:38:08,459

would that be

938

00:38:06,599 --> 00:38:10,619

right well trans folks are the most

939

00:38:08,459 --> 00:38:13,529

marginalised part of our larger

940

00:38:10,619 --> 00:38:15,809

population right and so you know I mean

941

00:38:13,529 --> 00:38:17,609

there was I would have loved to be able

942

00:38:15,809 --> 00:38:19,410

to reach even more people I mean there

943

00:38:17,609 --> 00:38:21,479

was a respondent who and said that they

944

00:38:19,410 --> 00:38:24,089

were a sex worker and of course that has

945

00:38:21,479 --> 00:38:26,160

been really difficult here for folks in

946

00:38:24,089 --> 00:38:29,160

the city right in terms of the closures

947

00:38:26,160 --> 00:38:31,769

of hotels and areas of work finding

948

00:38:29,160 --> 00:38:34,919

housing and you know I think another

949

00:38:31,769 --> 00:38:39,449

thing to keep in mind is this population

950

00:38:34,919 --> 00:38:41,549

in some ways is probably not sort of as

951

00:38:39,449 --> 00:38:43,919

affected by the economic situation but

952

00:38:41,549 --> 00:38:46,349

they are most concerned with that right

953

00:38:43,919 --> 00:38:48,479

and like I said a great you know almost

954

00:38:46,349 --> 00:38:49,919

a third of them have dependents right

955

00:38:48,479 --> 00:38:51,419

and so I mean I think that that's

956

00:38:49,919 --> 00:38:54,709

something that we need to keep in mind

957

00:38:51,419 --> 00:38:57,029

is you know even if you don't have

958

00:38:54,709 --> 00:38:58,409

partners right officially because most

959

00:38:57,029 --> 00:39:01,229

of the sample is single even if you

960

00:38:58,409 --> 00:39:02,909

don't have children right they're still

961

00:39:01,229 --> 00:39:05,880

part of these interconnected networks of

962

00:39:02,909 --> 00:39:07,619

support and so you know they're there

963

00:39:05,880 --> 00:39:08,699

there's obviously some movement

964

00:39:07,619 --> 00:39:10,469

happening there but of course it's

965

00:39:08,699 --> 00:39:11,219

difficult for me to say right because I

966

00:39:10,469 --> 00:39:14,429

didn't straight-up

967

00:39:11,219 --> 00:39:16,079

ask how much money do you make in a year

968

00:39:14,429 --> 00:39:17,849

and that in itself I think in Mexico is

969

00:39:16,079 --> 00:39:20,789

really complicated because the way that

970

00:39:17,849 --> 00:39:22,349

income works the informal economy is so

971

00:39:20,789 --> 00:39:24,929

strong even if you do have a formal

972

00:39:22,349 --> 00:39:27,449

position a lot of people have side

973

00:39:24,929 --> 00:39:28,979

hustles and jobs and maybe someone lives

974

00:39:27,449 --> 00:39:31,589

in a parent's property that they own but

975

00:39:28,979 --> 00:39:33,029

they don't have any income right and so

976

00:39:31,589 --> 00:39:37,439

it's kind of difficult to measure

977

00:39:33,029 --> 00:39:40,650

resources in that way Jacob Thomas is

978

00:39:37,439 --> 00:39:42,239

asking since many survey participants or

979

00:39:40,650 --> 00:39:43,499

it's actually more of a common and

980

00:39:42,239 --> 00:39:45,329

suggestion since many survey

981

00:39:43,499 --> 00:39:48,839

participants mentioned economic

982

00:39:45,329 --> 00:39:50,609

precarity and unemployment as a source

983

00:39:48,839 --> 00:39:52,069

of stress I think you may want to

984

00:39:50,609 --> 00:39:54,380

interact it

985

00:39:52,069 --> 00:39:57,079

both relational data on who they are

986

00:39:54,380 --> 00:40:01,099

most physically proximal to or living

987

00:39:57,079 --> 00:40:03,469

with one hypothesis is that a fall in

988

00:40:01,099 --> 00:40:05,150

financial independence may be moderating

989

00:40:03,469 --> 00:40:07,420

the relationship between familial

990

00:40:05,150 --> 00:40:10,069

relations and emotional well-being

991

00:40:07,420 --> 00:40:12,709

particularly for those that have had to

992

00:40:10,069 --> 00:40:16,690

move in backward parents that are

993

00:40:12,709 --> 00:40:20,660

heteronormative or utterly intolerant to

994

00:40:16,690 --> 00:40:21,440

LGBTQIA lifestyles Thank You Jacob for

995

00:40:20,660 --> 00:40:22,699

that suggestion

996

00:40:21,440 --> 00:40:25,039

I guess I'll mention here that we

997

00:40:22,699 --> 00:40:26,930

actually did ask respondents if the

998

00:40:25,039 --> 00:40:29,059

people that they were living with in

999

00:40:26,930 --> 00:40:30,319

their housing situations knew about

1000

00:40:29,059 --> 00:40:31,099

their gender identity and sexual

1001

00:40:30,319 --> 00:40:33,019

orientation

1002

00:40:31,099 --> 00:40:34,910

right so most people were out then we

1003

00:40:33,019 --> 00:40:37,039

asked what the reaction to that was if

1004

00:40:34,910 --> 00:40:39,589

it was rejection indifference if it was

1005

00:40:37,039 --> 00:40:42,229

acceptance and most of it was either

1006

00:40:39,589 --> 00:40:43,819

acceptance or indifference and so there

1007

00:40:42,229 --> 00:40:46,130

is definitely some respondents who are

1008

00:40:43,819 --> 00:40:48,109

living in a housing situation that is

1009

00:40:46,130 --> 00:40:49,759

not ideal and it's violent for them at

1010

00:40:48,109 --> 00:40:52,609

least in terms of this particular sample

1011

00:40:49,759 --> 00:40:54,709

it seems like most people are in housing

1012

00:40:52,609 --> 00:40:56,299

situations with people who are I mean I

1013

00:40:54,709 --> 00:41:00,589

guess mostly fine right not outright

1014

00:40:56,299 --> 00:41:03,589

hostile thank you we have a comment from

1015

00:41:00,589 --> 00:41:05,449

Rafael Solis in Chicago mine is a

1016

00:41:03,589 --> 00:41:07,880

commentary not a question it was

1017

00:41:05,449 --> 00:41:09,650

interesting to me how people work were

1018

00:41:07,880 --> 00:41:12,440

identifying as Latino quote unquote

1019

00:41:09,650 --> 00:41:15,140

right I have not lived in Mexico for 24

1020

00:41:12,440 --> 00:41:17,989

years but it sounds to me strange as a

1021

00:41:15,140 --> 00:41:19,910

new way of defining ourselves something

1022

00:41:17,989 --> 00:41:22,160

I had noticed in the past few years is

1023

00:41:19,910 --> 00:41:25,099

the popularity of the so called hook-up

1024

00:41:22,160 --> 00:41:27,349

applications in Mexico in those the

1025

00:41:25,099 --> 00:41:29,989

options to identify one's race are the

1026

00:41:27,349 --> 00:41:31,699

ones available here in the USA they are

1027

00:41:29,989 --> 00:41:34,009

not customized for other countries I've

1028

00:41:31,699 --> 00:41:36,559

always found interesting that Mexican

1029

00:41:34,009 --> 00:41:39,410

gay men chose to define themselves as

1030

00:41:36,559 --> 00:41:42,460

Latinos in these apps most times it is

1031

00:41:39,410 --> 00:41:45,010

optional to hide and identify your race

1032

00:41:42,460 --> 00:41:46,300

I mean yes it is really interesting I

1033

00:41:45,010 --> 00:41:48,910

mean that's why we put that question on

1034

00:41:46,300 --> 00:41:51,670

there and I have to wonder whether or

1035

00:41:48,910 --> 00:41:53,890

not it was because they knew that we

1036

00:41:51,670 --> 00:41:57,190

were US researchers asking this question

1037

00:41:53,890 --> 00:41:59,200

or if it has to do with terminology and

1038

00:41:57,190 --> 00:42:00,970

language molding something that we

1039

00:41:59,200 --> 00:42:02,830

didn't get into in this survey but I

1040

00:42:00,970 --> 00:42:05,140

hope to talk more about in future work

1041

00:42:02,830 --> 00:42:07,930

is how language has been shifting and

1042

00:42:05,140 --> 00:42:10,450

evolving in the lgbtq+ community here in

1043

00:42:07,930 --> 00:42:12,220

Mexico City in terms of using the X for

1044

00:42:10,450 --> 00:42:14,680

gender neutral some people using the e

1045

00:42:12,220 --> 00:42:16,960

and and really taking on words like

1046

00:42:14,680 --> 00:42:19,480

non-binary and genderqueer which I would

1047

00:42:16,960 --> 00:42:21,839

not expect right in this kind of context

1048

00:42:19,480 --> 00:42:24,400

or other types of terms like here that

1049

00:42:21,839 --> 00:42:26,140

really don't translate very well but

1050

00:42:24,400 --> 00:42:27,099

some people are taking it up I think

1051

00:42:26,140 --> 00:42:29,890

that has a lot to do with just

1052

00:42:27,099 --> 00:42:31,690

transnational transnational networks you

1053

00:42:29,890 --> 00:42:36,400

know education who you're connecting

1054

00:42:31,690 --> 00:42:38,140

with and everything so I I agree that it

1055

00:42:36,400 --> 00:42:40,140

was interesting it was strange for me

1056

00:42:38,140 --> 00:42:42,880

and you know would have been great to

1057

00:42:40,140 --> 00:42:45,270

disentangle that a little bit more but

1058

00:42:42,880 --> 00:42:48,280

in general I'm seeing interesting

1059

00:42:45,270 --> 00:42:51,190

movements and shifts with language more

1060

00:42:48,280 --> 00:42:54,040

broadly with sexually diverse and gender

1061

00:42:51,190 --> 00:42:59,050

diverse populations in may Thank You

1062

00:42:54,040 --> 00:43:01,030

Oscar Contreras is as is commenting and

1063

00:42:59,050 --> 00:43:02,800

asking some sources point out that

1064

00:43:01,030 --> 00:43:05,830

domestic violence has raised in

1065

00:43:02,800 --> 00:43:08,140

households in Mexico during these Kovach

1066

00:43:05,830 --> 00:43:10,839

times do you find similar situations in

1067

00:43:08,140 --> 00:43:12,700

your study so we didn't ask a question

1068

00:43:10,839 --> 00:43:15,190

that specifically asked about domestic

1069

00:43:12,700 --> 00:43:16,869

violence I mean we had instances where

1070

00:43:15,190 --> 00:43:18,910

you know we could talk about whether or

1071

00:43:16,869 --> 00:43:21,250

not they felt safe so towards the end of

1072

00:43:18,910 --> 00:43:22,510

the survey we asked them where if you

1073

00:43:21,250 --> 00:43:24,760

were taking the survey in a safe

1074

00:43:22,510 --> 00:43:27,490

location and private in public or among

1075

00:43:24,760 --> 00:43:29,290

people that you had trust with we also

1076

00:43:27,490 --> 00:43:31,060

had an open-ended question where people

1077

00:43:29,290 --> 00:43:32,530

could leave commentary which was gonna

1078

00:43:31,060 --> 00:43:33,760

be fascinating for the qualitative

1079

00:43:32,530 --> 00:43:35,790

analysis because we have a lot of

1080

00:43:33,760 --> 00:43:39,220

commentary about the political social

1081

00:43:35,790 --> 00:43:41,410

inequalities and you know how disasters

1082

00:43:39,220 --> 00:43:44,320

just make that more clear and I think

1083

00:43:41,410 --> 00:43:47,440

I'm gonna have a lot of fun sort of

1084

00:43:44,320 --> 00:43:49,210

working with that but nowhere and in the

1085

00:43:47,440 --> 00:43:51,520

places where someone could have made a

1086

00:43:49,210 --> 00:43:53,410

comment about it did I see that I think

1087

00:43:51,520 --> 00:43:55,359

there was like maybe one person who

1088

00:43:53,410 --> 00:43:56,330

mentioned something about violence maybe

1089

00:43:55,359 --> 00:43:58,340

there was too

1090

00:43:56,330 --> 00:44:01,940

but it wasn't very prevalent again

1091

00:43:58,340 --> 00:44:04,430

however I should say I mean the over.we

1092

00:44:01,940 --> 00:44:06,710

oversample right men in this in the

1093

00:44:04,430 --> 00:44:08,480

situation right and so you know there

1094

00:44:06,710 --> 00:44:11,930

are other surveys for example I know the

1095

00:44:08,480 --> 00:44:14,450

that unum put something out specifically

1096

00:44:11,930 --> 00:44:16,520

for women and I know that in that

1097

00:44:14,450 --> 00:44:18,380

question there was maybe something

1098

00:44:16,520 --> 00:44:19,610

asking about sexual orientation and of

1099

00:44:18,380 --> 00:44:21,740

course when they come out with those

1100

00:44:19,610 --> 00:44:26,000

results which I hope to also be able to

1101

00:44:21,740 --> 00:44:27,140

I guess consult when as moving as I'm

1102

00:44:26,000 --> 00:44:28,700

moving forward with writing and

1103

00:44:27,140 --> 00:44:30,830

everything that they'll probably have

1104

00:44:28,700 --> 00:44:32,780

like a better look at that right and and

1105

00:44:30,830 --> 00:44:35,870

and hopefully if they're asking about

1106

00:44:32,780 --> 00:44:37,850

bisexuality or asking if respondents

1107

00:44:35,870 --> 00:44:40,940

identify as lesbian hopefully we'll be

1108

00:44:37,850 --> 00:44:44,840

able to get more sort of information

1109

00:44:40,940 --> 00:44:47,810

from from that effort excellent and the

1110

00:44:44,840 --> 00:44:49,910

rare Rocha is in San Diego is asking

1111

00:44:47,810 --> 00:44:52,100

what was the incentive for people taking

1112

00:44:49,910 --> 00:44:53,870

the survey and how will results be

1113

00:44:52,100 --> 00:44:58,400

returned to participants of the survey

1114

00:44:53,870 --> 00:44:59,690

right so in the consent page right so

1115

00:44:58,400 --> 00:45:02,990

the first thing that came before you

1116

00:44:59,690 --> 00:45:05,720

entered it we said that this was all in

1117

00:45:02,990 --> 00:45:10,100

Terry it was gonna be for research

1118

00:45:05,720 --> 00:45:14,360

purposes we also did say that for every

1119

00:45:10,100 --> 00:45:17,480

survey that was completed right CNS or

1120

00:45:14,360 --> 00:45:20,140

sample completed we were going to commit

1121

00:45:17,480 --> 00:45:22,820

my partner and I to donating a dollar

1122

00:45:20,140 --> 00:45:24,370

which we did actually we ended up

1123

00:45:22,820 --> 00:45:27,110

donating three hundred dollars

1124

00:45:24,370 --> 00:45:29,990

particularly to Casa de las Nieves which

1125

00:45:27,110 --> 00:45:32,870

was a trans-pacific organization here in

1126

00:45:29,990 --> 00:45:34,580

CDM X that is housing trans women most

1127

00:45:32,870 --> 00:45:37,160

of whom are sex workers and also going

1128

00:45:34,580 --> 00:45:38,570

out into the streets and feeding them so

1129

00:45:37,160 --> 00:45:40,550

you know I mean there wasn't a direct

1130

00:45:38,570 --> 00:45:42,800

benefit but there was a social incentive

1131

00:45:40,550 --> 00:45:46,010

and there are a couple people who are on

1132

00:45:42,800 --> 00:45:47,720

this call who are related to these sorts

1133

00:45:46,010 --> 00:45:50,900

of organizations I hope to present these

1134

00:45:47,720 --> 00:45:53,600

results actually in Spanish right to

1135

00:45:50,900 --> 00:45:55,070

different in within different groups in

1136

00:45:53,600 --> 00:45:58,580

Mexico City who would benefit from

1137

00:45:55,070 --> 00:46:00,500

knowing about it right and I'm open and

1138

00:45:58,580 --> 00:46:02,300

in communication with other folks who

1139

00:46:00,500 --> 00:46:04,010

are trying to think about these results

1140

00:46:02,300 --> 00:46:07,370

in a more sort of policy oriented way

1141

00:46:04,010 --> 00:46:08,650

for example I know that Musa has been in

1142

00:46:07,370 --> 00:46:11,380

communication

1143

00:46:08,650 --> 00:46:13,450

with a government body here in Mexico

1144

00:46:11,380 --> 00:46:15,970

City to see if we can actually expand

1145

00:46:13,450 --> 00:46:17,650

this survey on a national scale I have

1146

00:46:15,970 --> 00:46:20,350

no idea if it'll happen that would be

1147

00:46:17,650 --> 00:46:22,540

super cool if it did so that then we can

1148

00:46:20,350 --> 00:46:24,310

address needs more I mean we can address

1149

00:46:22,540 --> 00:46:27,070

needs better in that kind of way right

1150

00:46:24,310 --> 00:46:28,720

but um so of course I'm looking for ways

1151

00:46:27,070 --> 00:46:31,210

to put this out there to be in

1152

00:46:28,720 --> 00:46:33,220

communication with folks like I said we

1153

00:46:31,210 --> 00:46:36,490

did put our money where our mouth was

1154

00:46:33,220 --> 00:46:40,360

and I hope that I can be part of other

1155

00:46:36,490 --> 00:46:42,370

efforts local efforts to expand these

1156

00:46:40,360 --> 00:46:44,500

survey efforts and to really capture

1157

00:46:42,370 --> 00:46:45,850

what's going on for the the larger

1158

00:46:44,500 --> 00:46:50,170

sexually diverse and gender diverse

1159

00:46:45,850 --> 00:46:52,690

community thank you thank you Christina

1160

00:46:50,170 --> 00:46:56,500

I don't see any more questions in our

1161

00:46:52,690 --> 00:46:59,470

Q&A feed right now but I continue to

1162

00:46:56,500 --> 00:47:03,760

encourage our audience to post questions

1163

00:46:59,470 --> 00:47:05,800

or comments to to Christina there's

1164

00:47:03,760 --> 00:47:09,490

maybe another one hold on one second yes

1165

00:47:05,800 --> 00:47:11,140

Jacob Thomas again is asking or

1166

00:47:09,490 --> 00:47:13,240

commenting I think you could also take

1167

00:47:11,140 --> 00:47:15,910

more qualitative data about how diet

1168

00:47:13,240 --> 00:47:18,550

exercise in health and self-care

1169

00:47:15,910 --> 00:47:22,690

has dropped all for trans participants

1170

00:47:18,550 --> 00:47:25,030

after Cobain since you you would expect

1171

00:47:22,690 --> 00:47:27,520

a priority the correlations between the

1172

00:47:25,030 --> 00:47:30,250

pre and post para burials to be closer

1173

00:47:27,520 --> 00:47:34,770

near to one I also wonder if you would

1174

00:47:30,250 --> 00:47:39,640

be able to did use what is different

1175

00:47:34,770 --> 00:47:41,860

about LGBTQIA experience with Kovac

1176

00:47:39,640 --> 00:47:44,380

compared to Mexicans by appending your

1177

00:47:41,860 --> 00:47:46,960

data to reliable general surveys of

1178

00:47:44,380 --> 00:47:50,650

general Mexicans responses to how they

1179

00:47:46,960 --> 00:47:53,020

adapted to covered yes so this goes to

1180

00:47:50,650 --> 00:47:55,810

the whole issue of comparing of course

1181

00:47:53,020 --> 00:47:59,720

you know responses of this population to

1182

00:47:55,810 --> 00:48:02,060

other populations in in Mexico of course

1183

00:47:59,720 --> 00:48:03,710

all right Thank You Jacob that really

1184

00:48:02,060 --> 00:48:06,410

just depends on what I have access to

1185

00:48:03,710 --> 00:48:09,079

like I said my eyes are open in terms of

1186

00:48:06,410 --> 00:48:10,400

the coded survey that was put out by the

1187

00:48:09,079 --> 00:48:13,780

cola he let us know that uh North Bay

1188

00:48:10,400 --> 00:48:15,619

right that was more general I mean the

1189

00:48:13,780 --> 00:48:18,170

institution in Mexico City

1190

00:48:15,619 --> 00:48:20,900

Unum who put a women's specific one

1191

00:48:18,170 --> 00:48:23,290

national survey and so really I'm gonna

1192

00:48:20,900 --> 00:48:25,730

be keeping my eyes open I also have

1193

00:48:23,290 --> 00:48:26,810

results from the survey that mousses

1194

00:48:25,730 --> 00:48:30,500

played out right the needs assessment

1195

00:48:26,810 --> 00:48:32,270

and they had a similar sample size to

1196

00:48:30,500 --> 00:48:34,390

ours right and so I think it pairs

1197

00:48:32,270 --> 00:48:36,140

nicely in terms of ours was more

1198

00:48:34,390 --> 00:48:38,569

representative of men there's a more

1199

00:48:36,140 --> 00:48:40,099

representative of women and so yeah

1200

00:48:38,569 --> 00:48:42,200

moving forward I'll keep my eyes open to

1201

00:48:40,099 --> 00:48:44,839

see how I can compare this moving

1202

00:48:42,200 --> 00:48:47,780

forward but it also just really depends

1203

00:48:44,839 --> 00:48:49,640

on how much information right these

1204

00:48:47,780 --> 00:48:51,380

these bodies these research bodies want

1205

00:48:49,640 --> 00:48:53,089

to share with me right I can have access

1206

00:48:51,380 --> 00:48:55,880

to a paper or record what are they gonna

1207

00:48:53,089 --> 00:48:59,420

give me you know raw data it really just

1208

00:48:55,880 --> 00:49:02,720

depends thank you thank you Christina

1209

00:48:59,420 --> 00:49:05,030

so I I actually let me use my my

1210

00:49:02,720 --> 00:49:07,040

prerogative as a moderator also to ask a

1211

00:49:05,030 --> 00:49:09,170

question what are you and this is

1212

00:49:07,040 --> 00:49:11,750

related to the survey but not not

1213

00:49:09,170 --> 00:49:16,190

directly what are you hearing in terms

1214

00:49:11,750 --> 00:49:20,150

of you know how people's behaviors or in

1215

00:49:16,190 --> 00:49:24,950

situations in general are changing as as

1216

00:49:20,150 --> 00:49:28,130

Mexico in Mexico City begin to reopen or

1217

00:49:24,950 --> 00:49:31,520

have started to reopen you know some you

1218

00:49:28,130 --> 00:49:35,180

know people are going back to work there

1219

00:49:31,520 --> 00:49:38,000

is you know reopening or discussion at

1220

00:49:35,180 --> 00:49:43,520

least about reopening of of certain

1221

00:49:38,000 --> 00:49:47,240

spaces for leisure for sociability but

1222

00:49:43,520 --> 00:49:49,400

at the same time you know a contagion as

1223

00:49:47,240 --> 00:49:52,160

well as death rates continue to be very

1224

00:49:49,400 --> 00:49:55,280

high we know that Mexico City is

1225

00:49:52,160 --> 00:49:58,220

essentially the epicenter of the copy 19

1226

00:49:55,280 --> 00:50:00,950

pandemic in Mexico so what do you hear

1227

00:49:58,220 --> 00:50:05,560

in relations to how things how people

1228

00:50:00,950 --> 00:50:09,710

are sort of navigating this this trans

1229

00:50:05,560 --> 00:50:12,150

transition or semi transition to to to

1230

00:50:09,710 --> 00:50:14,190

to some

1231

00:50:12,150 --> 00:50:17,010

aspect or normality or Nueva normally

1232

00:50:14,190 --> 00:50:21,720

dad as they call it in Mexico see

1233

00:50:17,010 --> 00:50:23,880

actually I have been I would say a part

1234

00:50:21,720 --> 00:50:25,200

of different conversations right within

1235

00:50:23,880 --> 00:50:26,849

the community within different

1236

00:50:25,200 --> 00:50:28,950

organizations that are specifically

1237

00:50:26,849 --> 00:50:30,809

talking about the new normal right and

1238

00:50:28,950 --> 00:50:33,359

it really just depends on what what

1239

00:50:30,809 --> 00:50:35,640

you're asking about so I'll give a

1240

00:50:33,359 --> 00:50:37,260

couple of reflections on a couple of

1241

00:50:35,640 --> 00:50:39,329

things that are I think sexual

1242

00:50:37,260 --> 00:50:42,960

orientation and gender identity specific

1243

00:50:39,329 --> 00:50:45,359

so you know pride from Mexico this year

1244

00:50:42,960 --> 00:50:48,029

right the parade the events were done

1245

00:50:45,359 --> 00:50:50,010

virtually and apparently it was like the

1246

00:50:48,029 --> 00:50:51,779

largest virtual pride events that were

1247

00:50:50,010 --> 00:50:54,240

done where that weekend but there were

1248

00:50:51,779 --> 00:50:54,869

still some folks who went out protests

1249

00:50:54,240 --> 00:50:57,599

on the street

1250

00:50:54,869 --> 00:50:59,849

specifically because they were concerned

1251

00:50:57,599 --> 00:51:01,529

about violence issues they were

1252

00:50:59,849 --> 00:51:03,900

concerned about discrimination health

1253

00:51:01,529 --> 00:51:05,970

access right you know none of these

1254

00:51:03,900 --> 00:51:07,890

things sleep just because we're at home

1255

00:51:05,970 --> 00:51:10,109

right and and Mexico has been having

1256

00:51:07,890 --> 00:51:11,940

quite a few issues with domestic

1257

00:51:10,109 --> 00:51:14,670

violence and other sorts of things and

1258

00:51:11,940 --> 00:51:16,799

so but they're only around 200 people

1259

00:51:14,670 --> 00:51:20,730

who went out to the streets to do that

1260

00:51:16,799 --> 00:51:22,799

and so what that tells me is that a lot

1261

00:51:20,730 --> 00:51:25,140

of folks are still staying in because

1262

00:51:22,799 --> 00:51:27,089

actually Mexico City began opening

1263

00:51:25,140 --> 00:51:29,220

little by little first of all they never

1264

00:51:27,089 --> 00:51:31,079

really fully closed I can tell you that

1265

00:51:29,220 --> 00:51:32,670

but then they really started opening

1266

00:51:31,079 --> 00:51:34,619

more toward the beginning of you and

1267

00:51:32,670 --> 00:51:36,900

then by the end of June you still didn't

1268

00:51:34,619 --> 00:51:39,359

have enough bhai in from the community

1269

00:51:36,900 --> 00:51:41,880

right to actually be put their bodies on

1270

00:51:39,359 --> 00:51:44,190

the streets right in one of the largest

1271

00:51:41,880 --> 00:51:45,750

prize right in the world right and so

1272

00:51:44,190 --> 00:51:47,369

that's happening um there have been

1273

00:51:45,750 --> 00:51:50,220

different conversations about intimacy

1274

00:51:47,369 --> 00:51:52,440

also specifically are you gonna have sex

1275

00:51:50,220 --> 00:51:55,049

during this and some folks are saying

1276

00:51:52,440 --> 00:51:56,339

well you're not I mean you're you're

1277

00:51:55,049 --> 00:51:57,720

gonna do it with the person who's at

1278

00:51:56,339 --> 00:51:59,640

your house but you can't go out and

1279

00:51:57,720 --> 00:52:01,470

cruise anymore other folks are gonna say

1280

00:51:59,640 --> 00:52:03,000

that's not realistic that's not going to

1281

00:52:01,470 --> 00:52:06,029

happen what are we going to do

1282

00:52:03,000 --> 00:52:08,430

I know specifically that there are folks

1283

00:52:06,029 --> 00:52:09,750

in the community who are just not going

1284

00:52:08,430 --> 00:52:11,309

to leave they're just not leaving

1285

00:52:09,750 --> 00:52:13,470

they're there you know posting

1286

00:52:11,309 --> 00:52:15,450

commentary or memes about how folks are

1287

00:52:13,470 --> 00:52:17,339

finally ready to party or do this and

1288

00:52:15,450 --> 00:52:19,500

they're just like nope goodbye I'm here

1289

00:52:17,339 --> 00:52:21,000

I'm staying in here and of course this

1290

00:52:19,500 --> 00:52:23,910

would have something to do especially

1291

00:52:21,000 --> 00:52:25,319

with this particular sample of high

1292

00:52:23,910 --> 00:52:27,930

prevalence of

1293

00:52:25,319 --> 00:52:32,479

conditions right I mean they're they're

1294

00:52:27,930 --> 00:52:35,309

not going to I mean you know Mexico City

1295

00:52:32,479 --> 00:52:37,140

medical personnel has also been

1296

00:52:35,309 --> 00:52:39,119

protesting I've witnessed a couple of

1297

00:52:37,140 --> 00:52:40,829

those because they don't have the right

1298

00:52:39,119 --> 00:52:43,799

type of gear to actually be handling

1299

00:52:40,829 --> 00:52:47,099

people I should note that a majority of

1300

00:52:43,799 --> 00:52:49,349

my sample noted that where they usually

1301

00:52:47,099 --> 00:52:51,630

get medical care is actually from the

1302

00:52:49,349 --> 00:52:54,449

pharmacies right and the private consult

1303

00:52:51,630 --> 00:52:56,519

raised there and so you know what are

1304

00:52:54,449 --> 00:52:58,440

they gonna go do at a hospital I mean if

1305

00:52:56,519 --> 00:53:01,259

there's just so many things to keep in

1306

00:52:58,440 --> 00:53:03,900

mind in here and also as far as I know

1307

00:53:01,259 --> 00:53:06,059

the bars the social spaces are gonna be

1308

00:53:03,900 --> 00:53:07,920

the last things to open I mean maybe it

1309

00:53:06,059 --> 00:53:11,400

won't happen that way but as far as I

1310

00:53:07,920 --> 00:53:14,459

know those spaces won't be opening until

1311

00:53:11,400 --> 00:53:16,829

much later but I also think that it's

1312

00:53:14,459 --> 00:53:18,239

hard to predict because you know the

1313

00:53:16,829 --> 00:53:21,420

Mexican government especially with

1314

00:53:18,239 --> 00:53:23,789

Mexico City is has been very I don't

1315

00:53:21,420 --> 00:53:25,410

know somewhat nonchalant about certain

1316

00:53:23,789 --> 00:53:26,670

kinds of measures and sometimes they'll

1317

00:53:25,410 --> 00:53:28,079

do something and then they'll take a few

1318

00:53:26,670 --> 00:53:30,719

steps backs and they'll say just kidding

1319

00:53:28,079 --> 00:53:33,029

so it's really hard for me to predict

1320

00:53:30,719 --> 00:53:34,309

what's gonna happen I think that what

1321

00:53:33,029 --> 00:53:36,630

I've been hearing from a lot of

1322

00:53:34,309 --> 00:53:39,630

conversation is that these virtual

1323

00:53:36,630 --> 00:53:40,890

spaces will continue right and a lot of

1324

00:53:39,630 --> 00:53:44,190

these organizations are going to

1325

00:53:40,890 --> 00:53:48,449

continue to adapt to do virtual outreach

1326

00:53:44,190 --> 00:53:50,160

to do virtual workshops you know I I

1327

00:53:48,449 --> 00:53:53,789

know different organizations that are

1328

00:53:50,160 --> 00:53:57,959

very presents based right that have

1329

00:53:53,789 --> 00:53:59,699

decided to move all of their you know

1330

00:53:57,959 --> 00:54:01,920

thigh yet is their workshops and their

1331

00:53:59,699 --> 00:54:03,809

their conversations to an online format

1332

00:54:01,920 --> 00:54:08,489

but it seems like there's gonna be a lot

1333

00:54:03,809 --> 00:54:09,719

of hybrid hybrid spaces right but yeah I

1334

00:54:08,489 --> 00:54:11,940

mean I don't I don't know it's gonna

1335

00:54:09,719 --> 00:54:13,440

it's gonna be rough I'll see what I

1336

00:54:11,940 --> 00:54:15,949

returned to for my in-person

1337

00:54:13,440 --> 00:54:17,569

observations and where I can make them

1338

00:54:15,949 --> 00:54:20,369

of course

1339

00:54:17,569 --> 00:54:27,209

well we're we don't have any more

1340

00:54:20,369 --> 00:54:28,890

questions in our Q & A field here so and

1341

00:54:27,209 --> 00:54:31,739

we're closed to action to the end of our

1342

00:54:28,890 --> 00:54:34,489

a lot of time so I want to take this

1343

00:54:31,739 --> 00:54:37,820

opportunity to thank you Christina for

1344

00:54:34,489 --> 00:54:41,540

for participating in

1345

00:54:37,820 --> 00:54:44,540

our speaker series and in wish you the

1346

00:54:41,540 --> 00:54:49,000

best of luck I mean with with the

1347

00:54:44,540 --> 00:54:51,800

project and in in to extend the

1348

00:54:49,000 --> 00:54:53,930

invitation an open invitation for you to

1349

00:54:51,800 --> 00:54:56,750

come back to the events of the center to

1350

00:54:53,930 --> 00:55:01,160

present more of the results of this very

1351

00:54:56,750 --> 00:55:03,890

interesting survey I want to thank Brian

1352

00:55:01,160 --> 00:55:06,560

Pitz was the assistant director of the

1353

00:55:03,890 --> 00:55:10,670

UCLA Latin American Latin American

1354

00:55:06,560 --> 00:55:14,080

Institute who has been cross played a

1355

00:55:10,670 --> 00:55:17,770

key role in organizing a lot of our

1356

00:55:14,080 --> 00:55:22,730

virtual events since the onset of

1357

00:55:17,770 --> 00:55:24,560

pandemic and we are going to be posting

1358

00:55:22,730 --> 00:55:29,000

some of these events for now but we'll

1359

00:55:24,560 --> 00:55:32,720

come back soon stay tuned and I wish

1360

00:55:29,000 --> 00:55:36,650

everybody a happy summer and above all

1361

00:55:32,720 --> 00:55:39,520

for all of you to stay safe and healthy

1362

00:55:36,650 --> 00:55:39,520

thank you everybody