scatterplot to show my stats class Monday: https://twitter.com/ATabarrok/status/1236408123960619009
Also this infographic (& the embedded thread): https://twitter.com/CT_Bergstrom/status/1236427814393409536?s=19
..and as gif! https://twitter.com/SiouxsieW/status/1236721200291655680?s=19
also spent a good chunk of time on this scatterplot (and explaining R_0 and the case-fatality rate)
that scatterplot from this NYT explainer (which they apparently first published at the end of Jan? I came across it at end of Feb) https://twitter.com/poliohunt/status/1223207239860621319
unfort we don't do any time series stuff in this stats class (which I may soon have to fig out how to teach online?), but ntl will show them this graph tmrw https://twitter.com/HelenBranswell/status/1237362407506313216?s=19
Altho maybe I'll have to balance that glimmer of hope with this graph https://twitter.com/MarkJHandley/status/1237144386569416712?s=19
May need to do a review of exponential growth functions (which again is not covered in this traditional stats class)

If you haven't seen @3blue1brown's videos, do yourself a favor and visit his YT channel https://twitter.com/3blue1brown/status/1236699162965463040?s=19
Another graph to peruse (from infectious disease epidemiologist, director of @CCDD_HSPH) https://twitter.com/mlipsitch/status/1237353299281575936?s=19
In fact, here's a tutorial on mathematical epidemiology they posted https://twitter.com/CCDD_HSPH/status/1222257431230631936?s=19
Graph below adapted from a *different* 2007 paper on the 1918-19 pandemic than the one I mentioned above..this one a PNAS paper co-authored by @mlipsitch titled "Public health interventions and epidemic intensity during the 1918 influenza pandemic" https://twitter.com/richmintz/status/1237447870128836614?s=19
Here's another, cleaner version of that country-by-country confirmed-case (offset) time series graph, this one with a linear vert scale so you can see the familiar exponential growth curve

(also this one originated in Turin!) https://twitter.com/SMerler/status/1237492257458204673?s=19
I posted earlier in this thread the link to this @OurWorldInData article... https://twitter.com/OurWorldInData/status/1235299240416595968
..but only now looking through https://ourworldindata.org/coronavirus : "The purpose of this article on COVID-19 is to aggregate existing research, refer to relevant data & allow readers to make sense of the published early research and data on the coronavirus outbreak." https://twitter.com/OurWorldInData/status/1235951563602112513
in particular, this is precisely the sort of CFR data I was looking for (to show my stats class today!) https://ourworldindata.org/coronavirus#case-fatality-rate-of-covid-19-by-age
interview w @AdamJKucharski that the NYT published last week: https://twitter.com/stevenstrogatz/status/1236457864656543745
Seeing that this medium post is going somewhat viral today (so to speak).. haven't read it in full yet, but does look v good https://twitter.com/patrickc/status/1237828008771072001?s=19
This is now dated ofc (this was yest 630p) but still fascinating https://twitter.com/CT_Bergstrom/status/1237869774782091267?s=19
o1h, I need to get off twitter

otoh, I need to dig into this thread to try to make sense of the data/analyses: https://twitter.com/GlennLuk/status/1237904776911880192
Re that Ohio Health Dept estimate (& larger question of estimating prevalence from # of confirmed cases in absence of testing) https://twitter.com/trvrb/status/1238290215178887169?s=19
So I started this thread on Sat March 7. But I'll mark the date of when I started getting seriously interested/concerned in the virus as Mon March 2

That's when I posted NYT's CFR vs R_0 scatterplot for my stats class to look at:
https://openlab.citytech.cuny.edu/math1372-ganguli-spring2020/2020/03/02/coronavirus-data-statistics/
I didn't discuss it in class that Mon/Wed (as I gave an exam on Wed Mar 4!)..but IIRC I got increasingly interested/concerned over the course of that week

Saturday Mar 7 I posted the graph that I started this thread with: "What Worked in 1918-1919?"
https://openlab.citytech.cuny.edu/math1372-ganguli-spring2020/2020/03/09/what-worked-in-1918-1919/
Given that we had just covered scatterplots & linear regression, those 2 were very timely

Then on Wed Mar 11 I posted this graph that I pulled from @OurWorldInData's Coronavirus page: case fatality rates by age-group based on early data out of China:
https://openlab.citytech.cuny.edu/math1372-ganguli-spring2020/2020/03/11/our-world-in-data/
so my question is: what should I post for my stats class next?

I'm thinking I should show them what @YIMBY_Princeton has been doing in this evolving thread: https://twitter.com/YIMBY_Princeton/status/1238461386226839552
NB: the daily updates in this NJ confirmed cases exponential model experiment go up at 230ET https://twitter.com/YIMBY_Princeton/status/1240344243207647234?s=19
ran 1st online session w my stats class earlier this aft, using Blackboard's "Collaborate Ultra"

Just a trial session, to get bunch of us in a Collabo session together, try out features (chat, polls, sharing whiteboard/files/windows)

But couldn't resist discussing some graphs!
(the graphs I discussed yest with my stats class were these CFR rate histograms: for early-stage China, Italy, and South Korea
https://www.facebook.com/sumanganguli/posts/10158105919478373
dropping this graph in this thread as thinking my next set of graphs/data will be related to exponential growth https://twitter.com/ryanlcooper/status/1240724802853314563
Also this scatterplot from Our World in Data https://twitter.com/OurWorldInData/status/1241036364906463233?s=19
Another graph for illustrating exponential growth https://twitter.com/JoshNH4H/status/1241147533121982465?s=19
Keeping track of @YIMBY_Princeton keeping track of NJ data (but put the exponential regression model back on the graph pls!) https://twitter.com/YIMBY_Princeton/status/1241426408808816641?s=19
some more CFRs (but also hospitalization & ICU rates!) from Spain: https://twitter.com/steadyblogging/status/1241924661866377216
got this via our faculty slack, haven't watched yet..should be good (guy is a prof of mathematical statistics at Univ of Stockholm whose research focuses on modeling infectious disease)
"Mathematics of the Corona outbreak – with professor Tom Britton"
a friend has some R scripts to pull daily data from JHU and generate some graphs; now he's posting them to twitter: https://twitter.com/corona_dt/status/1242181417695617024
here's the country-level numbers: https://twitter.com/corona_dt/status/1242091309378174977
Dropping this data in this thread https://twitter.com/RARohde/status/1241888412233326592?s=19
Might be an anomaly..or might be good news in NJ https://twitter.com/YIMBY_Princeton/status/1242528604715651075?s=19
Thread of FT's updated log scale graphs https://twitter.com/jburnmurdoch/status/1242561078833426434?s=19
Including an explainer of log scales! https://twitter.com/jburnmurdoch/status/1242561556795269120?s=19
Some more graphs/data I want to come back to in this thread https://twitter.com/EricTopol/status/1242551350015062016?s=19
here's another graph I've been thinking about a lot
FT data viz team keeps bringing it https://twitter.com/jburnmurdoch/status/1243299411918295043?s=19
CFRs and exponential growth... https://twitter.com/Noahpinion/status/1243695884547678208?s=19
Nice visualization/thread re exponential growth: https://twitter.com/TheRealDoctorT/status/1243936705289338880?s=19
FT video explainer https://twitter.com/jburnmurdoch/status/1244522229129457665?s=19
illustrative to see them side by side: https://twitter.com/mattyglesias/status/1244624655341752328
Slavitt thread highlights this NatGeo link re NPIs in 1918-19 https://twitter.com/ASlavitt/status/1244828622332080128?s=19
I've been wondering about St Paul a century ago for the past month (which itself feels like a century ago; cf tweet at top of this thread, quote-tweeting @ATabarrok's "What Worked in 1918-1919?" blog post) https://twitter.com/mulad/status/1246113850128248833?s=19
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