Modeling and Forecasting of the COVID-19 Pandemic Online CME Course

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 expert: Aleksandr 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.
Access to this online streaming course is available from the date of purchase until the course expires on April 12, 2025. Credit must be claimed within that time period.

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.

Course summary
Available credit: 
  • 1.50 AMA PRA Category 1 Credit™
  • 1.50 Attendance
Course opens: 
04/12/2022
Course expires: 
04/12/2025
Part of: 
Mayo Clinic COVID-19 Live Webinar Series - April 12, 2022

Moderator: Ravindra V. Durvasula, M.D., division chair, Division of Infectious Diseases

Moderator: Prakash Kempaiah, Ph.D., associate consultant, Division of Infectious Diseases

Featured expert: Aleksandr Y. Aravkin, Ph.D., adjunct assistant professor, Applied Mathematics, University of Washington

 

Accreditation Statement
In support of improving patient care, Mayo Clinic College of Medicine and Science is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC) to provide continuing education for the healthcare team.

Credit Statements: 

AMA
Mayo Clinic College of Medicine and Science designates this enduring material for a maximum of 1.50 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Other Healthcare Professionals
A record of attendance will be provided to all registrants for requesting credits in accordance with state nursing boards, specialty societies or other professional associations.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.

Available Credit

  • 1.50 AMA PRA Category 1 Credit™
  • 1.50 Attendance
Please login or register to take this course.

Access to online streaming course is available from the date of purchase until the course expires on April 12, 2025. Credit must be claimed within that time period.

If you attended and claimed CME credit for the Live Webinar on April 12, you are unable to access the Online CME course. To view the recording, please click here.

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