Detection of space-time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan

DOI10.1007/s42081-022-00159-xOpenAlexW4280557909MaRDI QIDQ2166042

Fumio Ishioka, Koji Kurihara, Yusuke Takemura

Publication date: 23 August 2022

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42081-022-00159-x

zbMATH Keywords

echelon analysisCOVID-19spatial scan statisticspace-time cluster

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Special feature: Statistics for COVID-19 pandemic data

Uses Software

• SaTScan
• echelon

Cites Work

• Spatial and temporal clustering based on the echelon scan technique and software analysis
• Evaluation of hotspot cluster detection using spatial scan statistic based on exact counting
• A spatial scan statistic
• Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic
• Unnamed Item

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