Discover and read the best of Twitter Threads about #govepi
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Using Twitter during the #COVID19 pandemic?
With @cc_martell and @DanielRhysThom1, I wrote a perspective piece on social media for (field) epidemiologists #SoMe4epi
đź“ś tinyurl.com/2km3dz4s
THREAD 🧵👇
@THLorg @rki_de @PublicHealthW @ECDC_EU #EPIET #WorldFieldEpidemiologyDay
With @cc_martell and @DanielRhysThom1, I wrote a perspective piece on social media for (field) epidemiologists #SoMe4epi
đź“ś tinyurl.com/2km3dz4s
THREAD 🧵👇
@THLorg @rki_de @PublicHealthW @ECDC_EU #EPIET #WorldFieldEpidemiologyDay
We reflect on social media/@Twitter for epidemiologists working on the #COVID19 response
We introduce the field of social media to those not currently using social media in their public health practice:
So please share outside of the Twitterverse as well!
#SoMe4epi #OpenAccess
We introduce the field of social media to those not currently using social media in their public health practice:
So please share outside of the Twitterverse as well!
#SoMe4epi #OpenAccess
Why this piece?
🌍 #COVID19 is the 1st pandemic in the social media age
🕵️‍♂️ Field epi now also includes an online field
👨‍💻 Social media can be a powerful tool for epidemiologists #SoMe4epi
🤝 Key usages of Twitter include #SciComm and professional development #EpiTwitter
🌍 #COVID19 is the 1st pandemic in the social media age
🕵️‍♂️ Field epi now also includes an online field
👨‍💻 Social media can be a powerful tool for epidemiologists #SoMe4epi
🤝 Key usages of Twitter include #SciComm and professional development #EpiTwitter
Now, what exactly is an applied epidemiologist, and why are they needed? In the late 90s- early 2000's there were a series of articles in AJPH, AJE, JECH, and IJE dedicated to answering these questions. I'll focus on Stephen Thacker's review.
academic.oup.com/ije/article/30…
academic.oup.com/ije/article/30…
He states, “The applied epidemiologist is by definition an activist, moving rapidly from findings to policy, putting epi knowledge to good use. The 21st century epi must do all these things while maintaining a foundation of high-quality epi research and practice.”
Susser warns the field of what he considers “the black box paradigm… the current international focus on risk factor epidemiology.” He advocates for expanding our academic training to include socializing epis to “keep the improvement of the public’s health as a primary value”
@Justfirenews Not quite. I’m arguing that they did the best that they legally could when constrained by bad policy. These are hard ethical calls. Do you continue working for an org that you think is heading in the wrong direction, or do you try to do your best from inside?
@Justfirenews I think about this a lot. For instance, my university brought back uni students for in-person learning last fall w no surveillance testing or modified housing. I thought that was a reckless decision. But I didn’t quit my job...
@Justfirenews Partially bc the balance of the work my colleagues were doing locally, nationally, & globally was so important and I could support that in a small way. Also income and longterm professional goals that I think will help public health beyond covid.
Happy Tuesday, #epitwitter! There’s been a lot of discussion #onhere about #causalinference lately, but that’s not all that epi is about.
For this week’s #epichat with @epiellie, let’s talk about descriptive epi!
#epiellie
For this week’s #epichat with @epiellie, let’s talk about descriptive epi!
#epiellie
To kick things off, an #epiquiz:
How often do you do descriptive epidemiology in your work or research?
(click to see poll options)
How often do you do descriptive epidemiology in your work or research?
(click to see poll options)
Next question — this one’s for discussion so share your thoughts!
What differentiates descriptive epi from causal inference epi?
My take: descriptive epi is about who, what, where, & when; causal inference epi is about why, how, and what would happen if we changed something.
What differentiates descriptive epi from causal inference epi?
My take: descriptive epi is about who, what, where, & when; causal inference epi is about why, how, and what would happen if we changed something.
