携帯電話人口統計データと新規陽性者数の相関に着目したCOVID-19の感染リスク地区の抽出

石田 展雅; 豊田 正史; 梅本 和俊; 商 海川; 是津 耕司

doi:10.11517/pjsai.JSAI2021.0_1J3GS10e03

35th (2021)

Session ID : 1J3-GS-10e-03

DOI https://doi.org/10.11517/pjsai.JSAI2021.0_1J3GS10e03

Conference information

Host: The Japanese Society for Artificial Intelligence

Name : The 35th Annual Conference of the Japanese Society for Artificial Intelligence

Number : 35

Location : [in Japanese]

Date : June 08, 2021 - June 11, 2021

Extracting areas potentially spreading COVID-19 by focusing on correlation between mobile phone population statistics and the number of new positive cases

*Nobumasa ISHIDA, Masashi TOYODA, Kazutoshi UMEMOTO, Haichuan SHANG, Koji ZETTSU

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Keywords: Data Science, Application in Social Issues

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

We propose a method to extract areas potentially spreading COVID-19 by focusing on correlation between mobile phone population statistics and the number of new positive cases. Our experiment showed that our method can successfully extract areas that are consistent with the government's views on infection sources.

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