COVID-19: turn your head and cough – Bus driver dies after being coughed-on by passenger

FIGURE 1. “Flattening the curve”. Effect of mitigating interventions that would decrease the initial reproduction rate R0 by 50% when implemented at day 25. Red curve is the course of numbers of infected individuals (”case”) without intervention. Green curve reflects the changed (”flattened”) curve after intervention. Day 0 (March 3, 2020) is the time at which 100 cases of infections were confirmed (d100 = 0). The model is only for illustration and was performed in the SEIR-model simulator (http://gabgoh.github.io/COVID/index.html). The non-intervention model was fitted to these data points: a time period of twenty days in which the number of cases in the United States has risen from 100 (d100=0) to 35,000 (d100=20). Standard parameters were used (population size 330 M, Tinc=5.2 days, Tinf = 3.0 days but with the rather high value R0=5.6 in order to achieve the observed rate of increase of case numbers in the U.S. The curves are redrawn not to scale.

More stories of mask-wearing and not mask-wearing.

Detroit bus driver dies of Covid-19 weeks after complaining of passenger's cough.

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DETROIT (FOX 2)  A Detroit bus driver who went live on Facebook two weeks ago to complain about a coughing bus rider has died of Covid-19.

Jason Hargrove went live on Facebook about two weeks ago to complain about a woman who was on his bus, coughing repeatedly without covering her mouth. Four days later, his union says he was quarantined and then on April 1 he passed away.

(Producer’s note: his video contains foul language)

“I’m trying to be the professional, they want me to be and I kept my mouth closed, but it’s at some point in time where you got to draw the line and say enough is enough. I feel violated; I feel violated for the folks that were on the bus when this happened. There was about eight or nine people on the bus that stood there as she coughed and never covered up her mouth,” Hargrove said in his video.

FIGURE 1. “Flattening the curve”. Effect of mitigating interventions that would decrease the initial reproduction rate R0 by 50% when implemented at day 25. Red curve is the course of numbers of infected individuals (”case”) without intervention. Green curve reflects the changed (”flattened”) curve after intervention. Day 0 (March 3, 2020) is the time at which 100 cases of infections were confirmed (d100 = 0). The model is only for illustration and was performed in the SEIR-model simulator (http://gabgoh.github.io/COVID/index.html). The non-intervention model was fitted to these data points: a time period of twenty days in which the number of cases in the United States has risen from 100 (d100=0) to 35,000 (d100=20). Standard parameters were used (population size 330 M, Tinc=5.2 days, Tinf = 3.0 days but with the rather high value R0=5.6 in order to achieve the observed rate of increase of case numbers in the U.S. The curves are redrawn not to scale.
FIGURE 1. “Flattening the curve”. Effect of mitigating interventions that would decrease the initial reproduction rate R0 by 50% when implemented at day 25. Red curve is the course of numbers of infected individuals (”case”) without intervention. Green curve reflects the changed (”flattened”) curve after intervention. Day 0 (March 3, 2020) is the time at which 100 cases of infections were confirmed (d100 = 0). The model is only for illustration and was performed in the SEIR-model simulator (http://gabgoh.github.io/COVID/index.html). The non-intervention model was fitted to these data points: a time period of twenty days in which the number of cases in the United States has risen from 100 (d100=0) to 35,000 (d100=20). Standard parameters were used (population size 330 M, Tinc=5.2 days, Tinf = 3.0 days but with the rather high value R0=5.6 in order to achieve the observed rate of increase of case numbers in the U.S. The curves are redrawn not to scale. medium.com/…

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Andy Biotech @AndyBiotech #COVID19 This is probably the best scientific explainer I have seen on why we should all wear masks against #coronavirus medium.com/…

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