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.
Fifth Webinar: Host and Viral Genetics of SARS-CoV-2 to Enable Epidemiologic Surveillance, Clinical Insight, and Pathobiology
Current developments in sequencing technology have allowed for an unprecedented look at the virus causing the current pandemic, SARS-CoV-2. Leveraging work by the ARTIC network, we have set up a sequencing pipeline at Johns Hopkins to characterize the virus in positive cases in our region. Host genetics also plays a vital role in our understanding of the pathogenesis of many diseases. We have enrolled hospitalized severe cases and ambulatory mild or asymptomatic cases to understand the role of host genetics in the severity of COVID-19 as well as associations with immunologic outcomes.
On Thursday, February 4th, 12-1 pm ET (9-10 am PT), Priya Duggal (Associate Professor of Epidemiology and International Health at Johns Hopkins Bloomberg School of Public Health and the Director of the Genetic Epidemiology program) and Winston Timp (Assistant Professor of Biomedical Engineering at Johns Hopkins University) will talk about Host and Viral Genetics of SARS-CoV-2 to Enable Epidemiologic Surveillance, Clinical Insight, and Pathobiology. Debashree Ray (Assistant Professor of Epidemiology, Johns Hopkins Bloomberg School of Public Health) is the Moderator and Organizer.
Speakers:
- Priya Duggal (Johns Hopkins Bloomberg School of Public Health)
- Winston Timp (Johns Hopkins University)
Moderator/Organizer:
- Debashree Ray (Johns Hopkins Bloomberg School of Public Health)
Please REGISTER TODAY (at https://psu.zoom.us/webinar/register/WN_-AzqrWn8SBm8VtN2vxa6Ug ).
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
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Lingzhou Xue
Pennsylvania State University
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