Hotspot analysis of COVID-19 infection in Tokyo based on influx patterns

We analyse the relationship between population influx and the effective reproduction number in the 23 wards of Tokyo during the COVID-19 pandemic to estimate hotspots of infection. We identify some patterns of population influx via factor analysis and estimate specific areas as infection-related hot...

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Veröffentlicht in:	Scientific reports 2025-01, Vol.15 (1), p.1081-11, Article 1081
Hauptverfasser:	Kimura, Yu, Seki, Tatsunori, Chujo, Keisuke, Murata, Toshiki, Sakurai, Tomoaki, Miyata, Satoshi, Inoue, Hiroyasu, Ito, Nobuyasu
Format:	Artikel
Sprache:	eng
Schlagworte:	639/166 692/699 704/844/1759 Basic Reproduction Number Biodiversity hot spots Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - virology Discriminant analysis Disease Disease hot spots Disease Hotspot Factor analysis Humanities and Social Sciences Humans Infections multidisciplinary Neighborhoods Pandemics Research hot spots SARS-CoV-2 - isolation & purification Science Science (multidisciplinary) Tokyo - epidemiology
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Beschreibung
Zusammenfassung:	We analyse the relationship between population influx and the effective reproduction number in the 23 wards of Tokyo during the COVID-19 pandemic to estimate hotspots of infection. We identify some patterns of population influx via factor analysis and estimate specific areas as infection-related hotspots by focusing on influx patterns that are highly correlated with the effective reproduction number. As a result, several influx patterns are assumed to be directly related to the subsequent spread of the infection. This analytical method has the potential to detect unknown hotspots related to pandemics in the future.
ISSN:	2045-2322 2045-2322
DOI:	10.1038/s41598-024-82962-y