See our latest COVID states report, this time looking at vaccination issues wrt health care workers.

Bottom line:

There are major issues re who is getting vaccinated, in terms of gender, race, status.

& looming problems wrt vaccine resistance

covidstates.org 1/14
First, simple thing to note: the attitudes of health care workers re vaccination are pretty close to the general population, except for the fact that they have had access to vaccines earlier than other folks.

So, they provide an indicator for how things might go more generally. Image
So, how has it gone?

Not great, in terms of equity.

(1) Gender: Men are twice as likely to report getting vaccinated than women, & half as likely to be vaccine resistant. 3/14 Image
(2) Education: those w/ a grad degree about 3x as likely to be vaccinated as those w/ HS or less, & about a third as likely to be vaccine resistant. 4/14 Image
(3) Income: Those earning over 150k are about 3x as likely to be vaccinated as those earning under 50k, & also about third as likely to be vaccine resistant. 5/14 Image
(4) Race: there are some substantial racial differences, though not as huge as gender/education/income. Marginally lower vaccination rates for African Ams & Hispanics than Whites and Asian Ams, but substantial diffs in vaccine resistance. 6/14 Image
(5) Partisanship: Marginal differences in vaccination rates among Ds, Rs, and Is; but Rs and Is have much higher levels of vaccine resistances than Ds. 7/14 Image
These factors, I'll note, are partially additive. So, in an multivariable analysis a hypothetical white, male doc age 50, earning 200k had a 45% chance of being vaccinated; and a black, female, nursing assistant same age a 6% chance. 8/14
& the predicted probability of vaccine resistance for that doc is 1%; for that nursing assistant 31%. 9/14
So: mission control, we've got a vaccination problem.

"We" means (1) health care institutions; and (2) society. More in the report, but this really means that there has to be proactive outreach re vaccinations. 10/14
Health care institutions are esp well situated because it is clear (see our earlier report) that health care professionals and scientists are best situated to discuss vaccines. It's just not clear that these institutions have encouraged those conversations internally. 11/14
& those are the conversations we need to be having more generally in society. 12/14

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More from @davidlazer

29 Jan
See our latest report, (survey) experiments with vaccine messaging. In first experiment, we varied the messenger-the question, what impact did this have on vaccine resistance? Treatment effects below (higher = more vaccine resistance).1/7
COVIDstates.org Image
Take away: lots of potential for a backfire here. Celebrities and athletes have null effects, and anyone with a political hue risks driving away anti-partisans more than they persuade same partisans. (See this figure for partisan breakdowns). 2/7 Image
Fauci is an illuminating case, because he has become a partisan figure, and evoking him makes Democrats a bit less resistant, but Republicans and Independents substantially more resistant, with a net effect of increasing resistance. 3/7
Read 7 tweets
11 Aug 20
What is the relationship between the pandemic and the protests? Check out our latest 50 state survey examining the relationship between the size of the protests and the pandemic.

covidstates.org

A few key take aways (1/n):
(1) The protests were BIG: about 5% of respondents participated in the protests, & even in the states with the fewest protesters, about 2% of adults reported participating. Truly historic in terms of scale and geographic scope (2/n)
(2) The protests, unsurprisingly, heavily tilted young, with a remarkable ~10% of people in their 20s participating, and ~1% of people older than 60. 8.5% of African Americans, 6.3% of Hispanics, and 4.0% of whites and Asian Americans participated (3/n)
Read 6 tweets
24 Jan 19
Happy to announce our paper, just out this minute in @sciencemagazine, which examines the prevalence of Fake News on Twitter during the 2016 election
w/ @grinbergnir @Ldfriedl @_kenny_joseph @Briony_Swire science.sciencemag.org/content/363/64…
1/N
Some of our key findings:

(1) Fake news was moderately prevalent during the election. About 5% of election related content people were exposed to was fake news.
2/N
(2) Exposure was highly concentrated among a few people. The large majority of the fake news content was in the feeds of 1% of our sample.
3/N
Read 8 tweets

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