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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
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Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Mathematical Biology and Deep Learning Modelling the transmissibility, superspreading, and vaccine effects of SARS-CoV-2 variants
Modelling the transmissibility, superspreading, and vaccine effects of SARS-CoV-2 variants
Organizers
Hamid Mofidi , Wu Yue Yang
Speaker
Shi Zhao
Time
Tuesday, November 26, 2024 9:00 AM - 10:30 AM
Venue
Online
Online
Zoom 518 868 7656 (BIMSA)
Abstract
Attempts at the risk assessment of infectious disease transmission have developed rapidly in the past two decades, owing to the development of infectious disease surveillance and theoretical models. The estimation of transmission risk can reflect the key epidemiological characteristics of infectious disease transmission. In this report, we introduce some data-driven methods to calculate the risk levels of emerging viruses as well as their genetic variants, and vaccine protective effects.
Beijing Institute of Mathematical Sciences and Applications
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