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Miasma
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We’ll cover analysis of Covid data broadly, and focus on the epidemiological and statistical models used to forecast the spread of the pandemic. In this seminar-style course for statistically-literate* researchers, you will
Explore key rates and features of the Coronavirus data
Learn how to specify epidemiological models
Learn how to fit statistical models
The strengths and weaknesses of each type of model
The instructors are
James Hardin, Epidemiology and Biostatistics Associate Professor and Associate Dean for Faculty Affairs and Curriculum for the Arnold School of Public Health, University of South Carolina.
Wayne Folta a Lead Data Scientist at Elder Research, Inc. where he develops and deploys models for clients. His current work involves the design and implementation of text mining and deep learning models at the U.S. Dept. of Health and Human Services; he has also been active within Elder Research in exploring and assessing epidemiological models in R.
See you in class!
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IMAGES BY LYDIA BOUROUIBA, MIT