The attached URL takes you to a web page for a Covid-19 educational module that is suitable for lower-level math or any level biology. A relatively simple DE epidemic model is coded in a set of Excel spreadsheets. You define an "experiment" by entering values for some parameters that represent disease properties or public policy choices. You can have up top 3 "scenarios" in your experiment. The module comes with a set of pre-designed experiments and questions for students to address with their experiment results. There are other resources for teachers, such as an introductory Powerpoint presentation. You can find a demonstration video at https://use.vg/hFAHGJ. The video shows how the model can reproduce the published graph of "flattening the curve." The module allows you to go much further in understanding how this epidemic could play out in different scenarios.
The underlying model is a variation I created of the standard SEIR model. I've divided the standard infective class into three subgroups: asymptomatic (A), symptomatic (I), and hospitalized (H). A deceased class is differentiated from a recovered class. So I call the model SEAIHRD.
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