Read on Twitter
My experiment for the week is to post only via explanatory retweets, about Covid19, virology, and epidemiology.
Here’s my Thread o’ Knowledge
Here’s my Thread o’ Knowledge
A virologist explains viruses: https://twitter.com/peterkolchinsky/status/1246975275021348865?s=21
A computational biologist explains how to spot quality virus-thinkers versus those suffering from “a serious case of covid FOMO”
https://twitter.com/big_data_kane/status/1246843809515868162?s=21 https://twitter.com/big_data_kane/status/1246843809515868162
https://twitter.com/big_data_kane/status/1246843809515868162?s=21 https://twitter.com/big_data_kane/status/1246843809515868162
The head of surgery at Columbia in NYC offers a daily insider reflection https://twitter.com/columbiasurgery/status/1241139303423623168?s=21 https://twitter.com/columbiasurgery/status/1241139303423623168
A local NYC elected official with a pragmatic yet horrifying examination of the problems faced by morgues during a surge in deaths https://twitter.com/marklevinenyc/status/1247155043171741696?s=21 https://twitter.com/marklevinenyc/status/1247155043171741696
On pharmaceuticals more broadly, a reporter debunks the error that ‘80% of our drugs are made in China’ https://twitter.com/reason/status/1247233878449930242?s=21
An expert in infectious disease modeling and genomics ( @trvrb) offers this thread to outline his proposed paradigm ( @nexttrace) for more effective ‘contact tracing’ using elements of a decentralized/crowdsourced model, cell phone data, and more. https://twitter.com/trvrb/status/1245240645003833345?s=21
