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
Seyed 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.