Topological data analysis model for the spread of the coronavirus

We apply topological data analysis, specifically the Mapper algorithm, to U.S. COVID-19 data. The resulting graphs provide visualizations of pandemic that are more complete than those supplied by other, standard methods. They encode a variety geometric features cloud created from geographic information, time progression, and number cases. reflect development across all capture growth rates as well regional prominence hot-spots. allow for easy comparisons space have potential becoming useful predictive tool spread coronavirus.