Transmission Dynamics of Influenza and SARS-CoV-2
Environmental Determinants, Inference and Forecast
1:00 – 2:00 pm MDT
Dynamic models of infectious disease systems are often used to study the epidemiological characteristics of disease outbreaks, the ecological mechanisms and environmental conditions affecting transmission, and the suitability of various mitigation and intervention strategies. In recent years these same models have been employed to generate probabilistic forecasts of infectious disease incidence at the population scale. Here I present research from my own group describing investigation of the environmental determinants of influenza transmissibility and development of model systems and combined model-inference frameworks capable of simulation, inference and forecast of disease outbreaks with a particular focus on influenza and SARS-CoV-2.
Jeffrey Shaman is a Professor in the Department of Environmental Health Sciences and Director of the Climate and Health Program at the Columbia University Mailman School of Public Health. He studies the survival, transmission and ecology of infectious agents, including the effects of meteorological and hydrological conditions on these processes. Work-to-date has primarily focused on mosquito-borne and respiratory pathogens. He uses mathematical and statistical models to describe, understand, and forecast the transmission dynamics of these disease systems, and to investigate the broader effects of climate and weather on human health.