Discover and read the best of Twitter Threads about #serjournalclub
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Last but not least, paper #5 of the #SERjournalclub on Diversity and Inclusion proposes using Simpson's diversity index to understand diversity in health profession education.
I can't find the authors on twitter; if you know them, please tag them in!
ijme.net/archive/7/comp…
I can't find the authors on twitter; if you know them, please tag them in!
ijme.net/archive/7/comp…
This paper is more statsy than the other 4 but since epidemiologists love to quantify things, I’m sure you’lol all enjoy reading it!
Simpson’s Diversity Index is a measure from biology, and used to model the “probability that two randomly selected individuals will be from the same category” 
Paper #4 in our #SERjournalclub is from @sridhartweet and @MichaelMarmot.
The authors introduce a special issue of Bioethics on social determinants of health by framing the philosophical and ethical background, including what do we even mean by "health"
onlinelibrary.wiley.com/doi/abs/10.111…
The authors introduce a special issue of Bioethics on social determinants of health by framing the philosophical and ethical background, including what do we even mean by "health"
onlinelibrary.wiley.com/doi/abs/10.111…
@sridhartweet @MichaelMarmot In thinking about the ethics of social determinants of health, the authors identify two major philosophical areas that should be explored: (1) the philosophy of epi; and (2) the philosophy of health justice.
Let's dive in!
Let's dive in!
@sridhartweet @MichaelMarmot What philosophical aspects of epi are important to improving how we think about social determinants of health?
Definitely how we think about and define causation, but also how we define health. Most of our discussion about social determinants are really about *ill-health*.
Definitely how we think about and define causation, but also how we define health. Most of our discussion about social determinants are really about *ill-health*.
#SERjournalclub paper 3 is all about who gets included in our research.
@SarahTishkoff and colleagues discuss the biased sampling of human genetic studies and how this can lead us to miss important variation & harm public health.
cell.com/cell/fulltext/…
@SarahTishkoff and colleagues discuss the biased sampling of human genetic studies and how this can lead us to miss important variation & harm public health.
cell.com/cell/fulltext/…
This paper was a bit challenging of a read for me, because it’s targeted at a genetics audience & includes a lot of specific genetic examples.
But the main crux of the argument is that by not including the full range of human diversity in genetic research we do harm.
But the main crux of the argument is that by not including the full range of human diversity in genetic research we do harm.
So first, what diversity is missing?
Practically all of it! This figure from the paper shows the ancestry category distribution of people with catalogued genetic information: 78.4% European.
Reminder, only about 12% of the world’s total population is “white”.
Practically all of it! This figure from the paper shows the ancestry category distribution of people with catalogued genetic information: 78.4% European.
Reminder, only about 12% of the world’s total population is “white”.
Next up on the playlist, @RRHDr and colleagues tackle calling a spade a spade, & ask whether the public health explicitly names institutionalized racism.
Answer: Nope! Over 13, only *16* papers focused on institutionalized racism!
#SERjournalclub
journals.sagepub.com/doi/pdf/10.117…
Answer: Nope! Over 13, only *16* papers focused on institutionalized racism!
#SERjournalclub
journals.sagepub.com/doi/pdf/10.117…
There are lots of was that racism is enacted in our institutions & our research.
One of the places I (@EpiEllie) think it’s particularly important to call out racism is in machine learning and AI algorithms.
For eg, this algorithm👇🏼sure looks racist
One of the places I (@EpiEllie) think it’s particularly important to call out racism is in machine learning and AI algorithms.
For eg, this algorithm👇🏼sure looks racist
A quick summary of playlist article #2 in case you havent had time to read it yet today:
The authors conducted a systematic review of all Ovid or PubMed Medline appears between 2002 & 2015 to find ones that explicitly named institutionalized racism.
They found 207 papers.
The authors conducted a systematic review of all Ovid or PubMed Medline appears between 2002 & 2015 to find ones that explicitly named institutionalized racism.
They found 207 papers.
Whose ideas get funded and who gets to research is a very important question.
@hwitteman & colleagues ask why gender gaps in funding exist and conclude that women are scored less favorably as scientists even when their ideas score well!
#SERjournalclub
thelancet.com/journals/lance…
@hwitteman & colleagues ask why gender gaps in funding exist and conclude that women are scored less favorably as scientists even when their ideas score well!
#SERjournalclub
thelancet.com/journals/lance…
This paper makes creative use of the roll-out of a new grant funding mechanism in Canada to try to determine the causes of gender gaps in funding.
This is a good example of a “natural experiment” which we don’t see used very often in epidemiology.
This is a good example of a “natural experiment” which we don’t see used very often in epidemiology.
The authors compared grant success rates (measured as “approved” or “not approved” during the peer review component) over time & between the two new post-2014 grant programs to see whether grant mechanism could explain the observed differences in success by gender.
Good morning #epitwitter, @EpiEllie is taking over the @societyforepi account!
Time for our Diversity & Inclusion #SERjournalclub
#epiellie #DiversityandInclusion #blackepimatters
Time for our Diversity & Inclusion #SERjournalclub
#epiellie #DiversityandInclusion #blackepimatters
The lack of scheduled tweet threading really makes this difficult, but I’ll add the tweets here too...
