Modeling and Forecasting of the COVID 19 Pandemic Online Course, web
04/12/2025

Event Organized by:
Mayo Foundation for Medical Education and Research

 507-266-4000

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Modeling and Forecasting of the COVID-19 Pandemic

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Modeling and Forecasting of the COVID-19 Pandemic

Recorded: April 12, 2022 at 12:00pm - 1:30pm ET

On Tuesday, April 12, from 12:00 p.m.-1:30 p.m. ET, 

  • Moderator: Ravindra V. Durvasula, M.D., division chair, Division of Infectious Diseases
  • Moderator: Prakash Kempaiah, Ph.D., associate consultant, Division of Infectious Diseases
  • Featured expertAleksandr Y. Aravkin, Ph.D., associate professor of Applied Mathematics, University of Washington and Director of Math Sciences at the Institute for Health Metrics and Evaluation (IHME)

The views and perspectives shared in these resources are presented based on information available at the time of recording.

Learning Objectives

Upon completion of the Mayo Clinic COVID-19 Live Webinar Series course, learners should be able to:

  • Gain a high-level knowledge of the basic modeling/forecasting methods applicable to pandemics, including (a) classic time series models, (b) mechanistic/compartmental models, and (c) data-driven/machine learning models.
  • Review strengths and weaknesses of different modeling approaches
  • Identify assumptions and consequences in modeling COVID-19, from early stages to emerging challenges.  

Attendance at any Mayo Clinic course does not indicate or guarantee competence or proficiency in the skills, knowledge or performance of any care or procedure(s) which may be discussed or taught in this course.

Event Organized by:
Mayo Foundation for Medical Education and Research

Date: Apr 12 2025

Venue: Online Course

Address: - Online Course, web

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