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Скачать или смотреть Seth Guikema, “Stochastic Simulation of COVID-19 Risk Through a Semester To Support College of E..."

  • MICDE University of Michigan
  • 2021-05-19
  • 112
Seth Guikema, “Stochastic Simulation of COVID-19 Risk Through a Semester To Support College of E..."
computingscientific computingmodelingmodelsstatistical modelsstatistical modelerscomputationcomputational sciencecomputational modelingpublic healthengineeringcovid-19covid19covidpandemicstochastic simulationstochastic
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Описание к видео Seth Guikema, “Stochastic Simulation of COVID-19 Risk Through a Semester To Support College of E..."

Seth Guikema, Professor of Civil & Environmental Engineering, Industrial & Operations Engineering, presents, “Stochastic Simulation of COVID-19 Risk Through a Semester To Support College of Engineering Planning”.

This talk took place within Session 3 | Modeling in a Campus Context within the COVID-19 Virtual Modeling Symposium, "Computing our way out of a pandemic: modeling in the face of COVID-19" held Thursday, May 6, 2021.

This symposium was co-organized by the School of Public Health and Michigan Institute for Computational Discovery & Engineering at the University of Michigan.

The COVID-19 pandemic has produced massive amounts of information that require an accurate analysis to predict outcomes and design solutions rapidly. It also has required experts from many different backgrounds to rally around in the quest for rapid responses in the race to save lives. Many of the most prominent of these researchers are from Michigan, and a significant number of them are computational scientists who addressed questions such as: What measures should be taken to minimize contagion? Is it safe to ride a bus? How are supply and demand chains being affected? This virtual symposium brought together researchers from the state of Michigan to share their past and future insights into the COVID-19 pandemic.

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