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DEC 03, 2020 9:00 AM PST
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Transmission Dynamics of SARS-CoV-2: Inference and Projection

C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Professor of Environmental Health Sciences, Columbia University Mailman School of Public Health
    Biography

      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.


    Abstract

    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 application of model systems and combined model-inference frameworks to the study of SARS-CoV-2.

    Learning Objectives:

    1. Define undocumented v. asymptomatic infection

    2. Identify epidemiological characteristics supporting pandemic spread of SARS-CoV-2

    3. Explain the structure of model-inference systems depicting infectious disease transmission


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