COPSS-NISS COVID-19 Data Science Webinar Series

[Please Note: This session has already occurred.  Go to the News Story for this event to read about and to access a recording and speaker slides from the session.]

Using Epidemiologic Models to Reveal the Nature of Disease Transmission and Inform Decision-making

About this Webinar Series

The COPSS-NISS COVID-19 Data Science webinar series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) and its five charter member societies (ASA, ENAR, IMS, SSC, and WNAR), as well as NISS.  This bi-weekly seminar features the latest research that is positioned on the cusp of new understanding and analysis of COVID-19 pandemic data, and promotes data-driven research and decision making to combat COVID-19.  Find out more about this series and view all the previous sessions on the Webinar Series page.

Overview

Epidemiologic models have played a key role during the COVID-19 pandemic, both in understanding how SARS-CoV-2 moves between people and through populations, predict the spread of the pandemic and to estimate the effects of different disease control measures. In this session two experts in infectious disease dynamics (Justin Lessler from Johns Hopkins Bloomberg School of Public Health and Adam Kucharski from the London School of Hygiene and Tropical Medicine) will join biostatistics and public health expert Elizabeth Stuart (Johns Hopkins Bloomberg School of Public Health) to discuss the basics of infectious disease models, their assumptions, data requirements, and how they are used in practice to reveal the nature of disease spread and inform decision making.

Participants

Speakers

Adam Kucharski, London School of Hygiene and Tropical Medicine

Justin Lessler, Johns Hopkins Bloomberg School of Public Health

Moderator / Organizer

Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health

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Organizing Committee

Xihong Lin (Chair) (IMS), Harvard University 
Karen Bandeen-Roche (NISS), Johns Hopkins University 
Chris Barker (ASA), Statistical Planning and Analysis Services, Inc
Gary Chan (WNAR), University of Washington 
Rob Deardon (SSC), University of Calgary 
Natalie Dean (COPSS), University of Florida
Debashree Ray (COPSS), Johns Hopkins University
Jie Peng (WNAR), University of California at Davis 
Nathaniel Stevens (SSC), University of Waterloo 
Elizabeth Stuart (ENAR), Johns Hopkins University 
Ryan Tibshirani (IMS), Carnegie Mellon University  
Lily Wang (ASA), Iowa State University 
Lingzhou Xue (NISS), Pennsylvania State University
Lili Zhao (ENAR), University of Michigan 
Glenn Johnson (Web Communications), NISS