WXML 2020 covid-modeling learning guide

This page provides a survey of some influential mathematical models being used to track and forecast COVID-19 in the United States. It was produced by Jarod Alper, an Associate Professor of Mathematics at the University of Washington whose research lies in algebraic geometry. He is not an expert in mathematical epidemiology and has no prior experience with infectious disease modeling. This page was put together as a learning guide for a Spring 2020 Washington Experimental Mathematics Lab (WXML) project.

Last updated: May 6, 2020

Influential modeling groups (in no particular order) Modeling papers (in no particular order)

The CDC has has a very informative summary of COVID-19 forecasts and models

Comparison of models

Recommended books

Online COVID-related lectures and courses

Basic data and visualizations

Some educational and informative visualizations