This site has line charts of cumulative confirmed #COVID19 cases, deaths, etc. by Country and by US state. The charts at the bottom are normalized by population size. You can switch between log and linear scale.https://t.co/F6sGVo4Ol7
— Data Science Renee (@BecomingDataSci) March 25, 2020
A few days in self-isolation and people tackle the big questions. Source: https://t.co/MU6rq2vBjc pic.twitter.com/5VpC6tdwbF
— Simon Kuestenmacher (@simongerman600) March 26, 2020
The banner headline for tomorrow's @nytimes
— Eric Topol (@EricTopol) March 27, 2020
about the plethora of unprecedented, exponential curves pic.twitter.com/AFI3W3ud51
Where the money goes in the $2T #coronavirus stimulus bill. #COVID19 #dataviz https://t.co/UsW6d3uWvV pic.twitter.com/22LPBfMzgO
— Randy Olson (@randal_olson) March 27, 2020
New York Times has made its county- and state-level data for US Covid cases available on GitHub. (non-commercial use only, attribution req'd)
— Sharon Machlis (@sharon000) March 27, 2020
Article: https://t.co/iiFWznqWDA
GitHub repo: https://t.co/VQTixvIfgu#COVID19 #coronavirus pic.twitter.com/SH196OpWKe
This is the chart I've wanted to see: growth in COVID cases in a metro by prevalence, not time. If you'll indulge me, let me explain whyhttps://t.co/DQmHlB9NFq pic.twitter.com/mNflOrYhrV
— Nate Cohn (@Nate_Cohn) March 27, 2020
NYC subway usage
— Todd Schneider (@todd_schneider) March 28, 2020
Code: https://t.co/C2WML3RNW5 pic.twitter.com/HNMAPuGeSy
In global megacities residents have slowed down their movement patterns since the #coronavirus outbreak. Source: https://t.co/OAp50RcWaq pic.twitter.com/dZjem4hMvL
— Simon Kuestenmacher (@simongerman600) March 28, 2020
A quick chart for those who keep asking for per-capita adjustment:
— John Burn-Murdoch (@jburnmurdoch) March 29, 2020
Here’s population vs total death toll one week after 10th death.
No relationship.
As I’ve been saying, population does not affect pace of spread. All per-capita figures do is make smaller countries look worse. pic.twitter.com/yWsa4YNNxI
I like the video explaining the choices made in this visualization.
— Data Science Renee (@BecomingDataSci) March 29, 2020
h/t @yoniceedee https://t.co/jWSNSJJxqE
I really like seeing this: March 26 vs March 30
— Eric Topol (@EricTopol) March 30, 2020
Most US cities #COVID19 hit are flattening the slope of their fatality curves and increasing deaths doubling timehttps://t.co/dwy5fMzFmH#StayAtHomeAndStaySafe pic.twitter.com/a8CkYZdWIg
I wrote about America's worst public health disaster and how our country has compromised clinicians and left the medical community highly #COVID19 vulnerable, along with our patients https://t.co/9uvTQ8YyMt @Medscape pic.twitter.com/Mm0HcqnT5x
— Eric Topol (@EricTopol) March 31, 2020
