Karl Friston is using Dynamic Causal Modeling to understand #COVIDー19 https://t.co/2ePRlCI92S pic.twitter.com/guwjmEk6C6

— danilobzdok (@danilobzdok) April 10, 2020

The highest quality Jupyter notebook I've ever seen was just posted by... <checks notes>... ex-CEO of Instagram, Kevin Systrom?

All of us data scientists can hang our heads in shame.

h/t (@seanjtaylor )https://t.co/LU1PSHNveW

— Chris Said (@Chris_Said) April 13, 2020

Excess deaths track reported COVID-19 deaths in Cook County, IL. The reported deaths, 860, are about 80% the actual cases, with this proportion trending towards 100%.

We show data for Cook because, AFAIK, it is the only jurisdiction making up-to-date death registry data public. pic.twitter.com/DrQJHlISDg

— Rafael Irizarry (@rafalab) April 20, 2020

This is interesting data from New York City, which has been i) tracking probable in addition to confirmed deaths and ii) tracking deaths on the date they think the death actually occurred, not when it shows up in their records. https://t.co/O1f8OmAlrI

— Nate Silver (@NateSilver538) April 27, 2020

US performance against #COVID19 in perspective:
Its population is only 4.2% of the world
But it accounts for 33.2% of confirmed cases (>8X expected, based on population)
and 27.2% of deaths (>6X expected)

US per cent of global deaths is rising, now >33% https://t.co/568QRBWkv2 pic.twitter.com/2shFp8g4Vs

— Eric Topol (@EricTopol) April 29, 2020

NEW: Fri 1 May update to our excess mortality tracker, adding new countries and updating all locations

• 153k more deaths than usual across the 21 countries we‘re tracking
• 58k above reported Covid deaths at the time (+60%)

All charts free to read at https://t.co/dTWLuIMpg8 pic.twitter.com/arQGcda1fF

— John Burn-Murdoch (@jburnmurdoch) May 1, 2020

Due to corona there are plenty of oil tankers that are now stranded and got nowhere to go. This map shows where these tankers are. pic.twitter.com/qEIoOFcx4Y

— Simon Kuestenmacher (@simongerman600) May 1, 2020

Financial Times added selectors to build your own #COVID19 charthttps://t.co/3hGS7X6MxV pic.twitter.com/W8VNTU3Qhc

— JD Long (@CMastication) May 4, 2020

This graph will be shown in every stats/data class as 🤦 https://t.co/K4uj59IIHB

— dj patil (@dpatil) May 5, 2020

The "cubic model" from @CEA + Kevin Hassett was pretty clearly fit on log(deaths + 1). Which is... pretty dangerous for forecasting.

Just imagine if they'd fit a quartic model pic.twitter.com/VTlFoD9qvC

— David Robinson (@drob) May 5, 2020

Utah updated their state-level COVID-19 dashboard (made with #rstats) again and I think they are doing such a good job with it. I like the new tabs for hospitalizations and incidence/epidemic curve:https://t.co/E4EWGAc4YU pic.twitter.com/IIT7bIG8ME

— Julia Silge (@juliasilge) May 8, 2020

Which suggests that people won't start going out, shopping, etc., because of some official proclamation:https://t.co/7qwYLeSFHH pic.twitter.com/Y4ISS2fP1X

— Micah Cohen (@micahcohen) May 11, 2020