Number of pet adoptions have increased a lot since quarantine began. Humans are social beings and desire company. Source: https://t.co/4Y7znKQdIN pic.twitter.com/ij4KdZi6qw

— Simon Kuestenmacher (@simongerman600) March 31, 2020

Belgian seismologists pick up #covid19 lockdown as less noisy seismometer readings https://t.co/b7t7uuRYz3 On @nature pic.twitter.com/QCC2ZN6skW

— Maarten Lambrechts (@maartenzam) March 31, 2020

NEW: Tues 31 March = overhaul of coronavirus trajectories

As the story shifts, the charts shift. We’re now focusing on *new* cases & deaths rather than running totals.

Why? Because key for any country is when today’s new cases are fewer than yesterday’shttps://t.co/JxVd2cG7KI pic.twitter.com/yPMUzlVLQv

— John Burn-Murdoch (@jburnmurdoch) March 31, 2020

Finally, the "small multiples" showing all countries for which we have data.

Here are *daily new cases* for 54 countries:
• Turkey still looking bad
• Cases in India rise sharply ⚠️
• Iran & Sweden had plateaued, but rising again
• Japan battling its first real outbreak pic.twitter.com/vZtJoXJLGh

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

Where’s the two trillion dollars of the CARES Act going? 💸 Each dot • represents one billion dollars. https://t.co/pGa6wBZKod pic.twitter.com/pe8lhn8h84

— Mike Bostock (@mbostock) April 2, 2020

Google published really useful COVID-19 Community Mobility Reports on national and state levels. You will want to go to the page and see how well your region is adhering to social distancing regulations. Source: https://t.co/qNS9zEYoj4

— Simon Kuestenmacher (@simongerman600) April 3, 2020

Agree with Dad again. Increasingly uncomfortable with the certainty about relative country positions being implied by data that is being measured in different way and has different levels of accuracy and reliability. https://t.co/VIfZHLsnWe

— Sam Freedman (@Samfr) April 3, 2020

California's curve is a glimmer of hope https://t.co/cJ0TmlRbY8 pic.twitter.com/9o85vfu6Nt

— Chris Albon (@chrisalbon) April 4, 2020

It's a difference of just a few days. But due to residential segregation and exponential growth, even small differences in individual behavior between income groups can be vastly amplified to create stark divides in infection rates between neighborhoods. https://t.co/kHfuvlhh3O

— Arvind Narayanan (@random_walker) April 4, 2020

Some thoughts on why log-ratios are useful for tracking COVID-19. https://t.co/NlMUi6iZ66 #rstats #Covid_19 #Covid_19australia pic.twitter.com/JBmyI8Ua99

— Rob J Hyndman (@robjhyndman) April 5, 2020

Modeling covid in the continental UShttps://t.co/woFV85mfCt
Project is work in progress, features such as data download, interactive explorations and state projections will be added in the next days. pic.twitter.com/2vRORjpSR8

— Alessandro Vespignani (@alexvespi) April 7, 2020

The 2nd wave of #COVID19 modeled from the China's 1st-wave data @TheLancet Premature relaxing of mitigation will increase the transmissibility (Ri); this requires real-time monitoringhttps://t.co/p4vJ6CZA56
by @gmleunghku @hkumed w/ Kathy Leung, Joseph Wu pic.twitter.com/UqCZvCNPHV

— Eric Topol (@EricTopol) April 8, 2020