Spatiotemporal pattern recognition and dynamical analysis of COVID-19 in Shanghai, China

DOI10.1016/j.jtbi.2022.111279OpenAlexW4296517831MaRDI QIDQ2095400

Haonan Zhong, Kaifa Wang, Wendi Wang

Publication date: 9 November 2022

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2022.111279

zbMATH Keywords

spatial statisticsdynamic modelautocorrelation analysisdaily reproduction number

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX)

Cites Work

• Mathematical analysis for COVID-19 resurgence in the contaminated environment
• Linking the disease transmission to information dissemination dynamics: an insight from a multi-scale model study
• A quantitative method to project the probability of the end of an epidemic: application to the COVID-19 outbreak in Wuhan, 2020
• Using an age-structured COVID-19 epidemic model and data to model virulence evolution in Wuhan, China
• Unnamed Item

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