Overview
Explore dynamic models of infectious disease systems used to study epidemiological characteristics, ecological mechanisms, and environmental conditions affecting transmission of influenza and SARS-CoV-2. Delve into the application of these models for generating probabilistic forecasts of infectious disease incidence at the population scale. Examine research on meteorological determinants of influenza transmissibility and the development of model systems and combined model-inference frameworks capable of simulation, inference, and forecast of disease outbreaks. Learn from Dr. Jeffrey L. Shaman of Columbia University as he presents his group's findings, with a particular focus on influenza and SARS-CoV-2 transmission dynamics.
Syllabus
Webinar: Transmission Dynamics of Influenza and SARS-CoV-2
Taught by
AGU
Reviews
5.0 rating, based on 1 Class Central review
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This course offers a clear and insightful explanation of the transmission dynamics of both Influenza and SARS-CoV-2. It combines real-world data with modeling to help visualize how viruses spread and the impact of public health interventions. The instructor presents complex topics in a simple, engaging way, making it suitable even for those without a strong background in epidemiology. Highly recommended for anyone interested in infectious diseases or public health.