@inproceedings{93d852d007fc447da8c5f05945fbcbb1,
title = "A Topological Data Analysis Approach to the COVID-19",
abstract = "Topological data analysis (TDA) has emerged as a method for understanding data clouds by extracting and comparing the structure of datasets. This paper applies one of the TDA instruments available which is called the Mapper algorithm to analyze the COVID-19 data in China. The Mapper graphs generated by the algorithm successfully reflect the development of COVID-19 across China and provide a relatively complete visualization of the pandemic. Experimental results indicate that the proposed method may have the potential to become a robust predictive tool for the spread of the coronavirus.",
keywords = "COVID-19, Mapper, Topological Data Analysis, Visualization",
author = "Zhichao Lu and Heng Liu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022 ; Conference date: 17-06-2022 Through 19-06-2022",
year = "2022",
doi = "10.1109/ITAIC54216.2022.9836495",
language = "English",
series = "IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "469--473",
editor = "Bing Xu",
booktitle = "IEEE 10th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022",
address = "United States",
}