Coda

I've been giving more thought about when would I feel comfortable seeing live music. I think wind instruments and vocalists will have to wait a year. Maybe jazz clubs will start promoting less popular musicians given they'll need to maintain table distance? That could be a positive.

Introducing Covid Scholar, a machine learning tool to help search text across scientific research papers: https://scitechdaily.com/unexpected-scientific-insights-into-covid-19-from-ai-machine-learning-tool/ and the search tool: https://covidscholar.org/ The pace of research is amazing.

Below is a list of working papers — preliminary versions of academic research –— by MIT Sloan faculty and PhD students related to the coronavirus/COVID-19 pandemic. https://mitsloan.mit.edu/ideas-made-to-matter/mit-sloan-research-about-coronavirus-pandemic?utm_campaign=news-mba-mban-mfin&utm_source=slate&utm_term=043020&utm_medium=email

You can now see projections by state: https://covid19.healthdata.org/united-states-of-america

Close up. This image is from a Sigma Foveon camera. It went out of production in 2013. They're trying to bring back a modern version but keep pushing out the GA date. It's one of my favorite cameras.

If you're getting a check (I am) then it could take as long as the end of August before you receive it. They're starting with the lowest income earners first sending checks (and a letter I'm told) in batches. I found a new covid tracker that's awesome to view: https://community.powerbi.com/t5/COVID-19-Data-Stories-Gallery/COVID-Dashboard/td-p/998788

I can stream it on Amazon

Does it get any higher end than this?

I know most people are saturated by the covid statistics found about everywhere. I am actively researching the impact of the virus on business so I find myself searching for new sources of information. Here's another well crafted report with a lot of detail https://ourworldindata.org/coronavirus#are-deaths-increasing-at-different-rates-in-different-countries If you're in the US and want to see projected peaks by state: https://www.npr.org/sections/health-shots/2020/04/07/825479416/new-yorks-coronavirus-deaths-may-level-off-soon-when-might-your-state-s-peak With all these types of reports it's important to realize that there isn't a lot of data available to draw conclusions. There is a lot of data bias in current models.

A good read with thoughtful insight https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Risk/Our%20Insights/COVID%2019%20Implications%20for%20business/COVID%2019%20March%2030/COVID-19-Facts-and-Insights-April-3-v2.ashx