Tree-Free Phylodynamic Inference for Emerging Viral Pathogens and Lineages
Institut Henri Poincaré via YouTube
Learn Python with Generative AI - Self Paced Online
NY State-Licensed Certificates in Design, Coding & AI — Online
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore a cutting-edge approach to phylodynamic inference for emerging viral pathogens and lineages in this 24-minute lecture by Katia Koelle from Emory University, USA. Delve into the innovative tree-free methodology that revolutionizes the study of viral evolution and transmission dynamics. Gain insights into how this technique can be applied to rapidly evolving pathogens, enhancing our understanding of disease outbreaks and their progression. Learn about the advantages of this approach over traditional tree-based methods and its potential impact on public health strategies and epidemic management.
Syllabus
Tree-free phylodynamic inference for emerging viral pathogens and lineages
Taught by
Institut Henri Poincaré