Topological data analysis model for the spread of the coronavirus.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 34347838.
- Also identified by DOI 10.1371/journal.pone.0255584 and PMC identifier 8336810.
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Abstract
We apply topological data analysis, specifically the Mapper algorithm, to the U.S. COVID-19 data. The resulting Mapper graphs provide visualizations of the pandemic that are more complete than those supplied by other, more standard methods. They allow for easy comparisons of the features of the pandemic across time and space and encode a variety of geometric features of the data cloud created from geographic information, time progression, and the number of COVID-19 cases. The Mapper graphs reflect the development of the pandemic across all of the U.S. and capture the growth rates as well as the regional prominence of hot-spots.
Medical subject headings
- Algorithms
- COVID-19
- Models, Statistical