Today's update: the US now leads in the number of active transmitters, and is almost matched with Iran for active transmitters as a proportion of total population. #COVID19#DataAnalytics
Another update: Our rate of active transmitter increase is greater than Italy's--we're on track to have the same # of active transmitters in a matter of days. #COVIDー19#coronavirus
Also of interest: (reported) deaths / cases for different countries, along with total cases. The US and Iran's fatality rates seem to have leveled off, but Italy and S. Korea are still seeing a rise #COVID19
No apparent slowdown in the United States' increase of active transmitters. We've surpassed Iran in the raw # of active transmitters (closing in on Italy) and are close to South Korea in % of total population. #COVID19#CoronaVirusUpdate
Today's plots: we have as many active transmitters as Iran, and China now has fewer than South Korea. If left unchecked, our rate of increase for active transmitters is looking as bad as, if not worse than, Italy #Covid_19#CoronavirusPandemic#dataviz
Active transmitters in raw # and as a % of total population: we've now surpassed South Korea and China in number of active transmitters, and are on track to surpass Iran in the next few days. The sharp slope increase is pretty worrisome in both plots #COVID19#CoronavirusPandemic
Today's update: number of active transmitters over time in each country (and the same data as a % of the total population). The US now has more active transmitters than China or South Korea, and .06% of Italy's population is currently an active transmitter. #COVID19#coronavirus
Active transmitters (assuming, conservatively, the virus is non-transmissible after 30 days): looks like the US is on track to have as many active transmitters as S Korea, and even China. Italy and Iran both surpassed China in the # of active transmitters #COVID19#coronavirus
Give me a hand here if I'm missing something, but if we can assume there's a max # of days someone with COVID-19 can transmit to others, say 30 (https://t.co/EeYfIcYd0m), then here's a plot of the # of transmitting patients over time for Italy and China #coronavirus#COVID19
New paper with @JessNadalin , @ebblackwood (and Mark Kramer who's not on Twitter) from our #studyBRAIN project: better methods for multi-modal cross-frequency coupling, with automatic confidence intervals.
https://t.co/btOEXhQJcx
Great talk from @iam_mir_iam on data science in genomics! Her company is working to leverage data science to diagnose antibiotic resistance on day zero 🔬