Estimating infection-related human mobility networks based on time series data of COVID-19 infection in Japan

• Verfasst von: Yamada, Tetsuya [VerfasserIn]
• Verfasst von: Shi, Shoi [VerfasserIn]
• Titel: Estimating infection-related human mobility networks based on time series data of COVID-19 infection in Japan
• Verf.angabe: Tetsuya Yamada and Shoi Shi
• E-Jahr: 2022
• Jahr: 15 September 2022
• Umfang: 16 S.
• Fussnoten: Gesehen am 18.10.2022
• Titel Quelle: Enthalten in: Applied Sciences
• Ort Quelle: Basel : MDPI, 2011
• Jahr Quelle: 2022
• Band/Heft Quelle: 12(2022), 18, Artikel-ID 9236, Seite 1-16
• ISSN Quelle: 2076-3417
• DOI: doi:10.3390/app12189236
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: COVID-19
• Sach-SW: diffusion equation
• Sach-SW: Japan
• Sach-SW: MCMC
• Sach-SW: SEIR model
• Sach-SW: state of emergency
• K10plus-PPN: 1819091872

Abstract

Comprehensive and evidence-based countermeasures against emerging infectious diseases have become increasingly important in recent years. COVID-19 and many other infectious diseases are spread by human movement and contact, but complex transportation networks in the 21st century make it difficult to predict disease spread in rapidly changing situations. It is especially challenging to estimate the network of infection transmission in countries where traffic and human movement data infrastructure is not yet developed.