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System Dynamics Seminar: "Understanding the Unknown: Trying to make COVID-19 discussion as transparent as possible"

Friday, March 27, 2020
2:00 pm

Join us online Friday, March 27th, 2:00 - 3:00 PM ET (Boston time) through:
https://wpi.zoom.us/j/389429908

See (far) below for call in details.

In this week’s Collective Learning Meeting (CLM), Dr. Bob Eberlein (bob@iseesystems.com) will present:

"Understanding the Unknown: Trying to make COVID-19 discussion as transparent as possible"

Abstract: There is a great deal of fear and uncertainty associated with the COVID-19 pandemic. Some of the concern is certainly justified, but our ability to understand what is coming is very limited. Some of this is due to the nature of the disease itself. COVID-19 has a clear, but not clearly understood, period of asymptomatic transmission, and it is still not understood how many individuals can carry and pass the virus without ever showing symptoms. Further, with roughly 20% of infections being severe, the load on the health care system is, as have been evidenced in Italy, potentially overwhelming. This is, of course, exacerbated by the potential for hospital workers themselves to be overwhelmed by the disease as happened in Wuhan. Putting this together into a coherent framework with a model that transparently allows people to experiment with both policies and epidemiological assumption provides a lens into what might unfold and what can be done. The talk will focus on exploring that model and showing the ways in which it can inform our understanding of what is happening around us. 

Biography: Bob Eberlein is Co-President at isee systems. He holds a PhD from MIT in Applied Economics and System Dynamics. He has been teaching, consulting, and developing software in support of System Dynamics for over 30 years. He has done modeling in a variety of areas including demography, chronic disease progression, and health care system responses.



Meeting ID: 389 429 908

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Meeting ID: 389 429 908

If you are interested in presenting at our CLM, please contact Christine Tang (ctang@wpi.edu).