SIMIODE EXPO 2021 - Minicourse M-R1 - Glenn Ledder - An Epidemiological Model for COVID-19

By Glenn Ledder

University of Nebraska, Lincole NE USA

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SIMIODE EXPO 2021 - Minicourse M-R1 - Glenn Ledder - An Epidemiological Model for COVID-19

Glenn Ledder, University of Nebraska, Lincoln NE USA

This was a presentation made at the SIMIODE EXPO 2021  - see program.

Abstract: We develop a model for COVID-19 population dynamics by extending the standard SEIR model to allow for the subclassification of the Infectious class to separate out asymptomatic infectives, symptomatic infectives, and hospitalized infectives. The model is implemented with a suite of Matlab programs consisting of a function program that runs a simulation and driver scripts that plot simulation results, compare results with different parameter values, and track changes in outcomes as a function of a parameter. Students use the program suite to do virtual experiments to assess the effects of public health policies and community behavior on key outcomes such as simultaneous hospitalizations and overall death counts. The program drivers are designed to require only a bare minimum of coding by students so as to focus students' efforts on interpretation of results. The programs can also run on the online implementation of Octave. See COVID-19 Education Module  for more details, including a spreadsheet implementation that can be used with non-science students.

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Researchers should cite this work as follows:

  • Glenn Ledder (2021), "SIMIODE EXPO 2021 - Minicourse M-R1 - Glenn Ledder - An Epidemiological Model for COVID-19," https://simiode.org/resources/8230.

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