Quantifying the shift in social contact patterns in response to non-pharmaceutical interventions

Quantifying the shift in social contact patterns in response to non-pharmaceutical interventions

Abstract Social contact mixing plays a critical role in influencing the transmission routes of infectious diseases. Moreover, quantifying social contact mixing patterns and their variations in a rapidly evolving pandemic intervened by changing public health measures is key for retroactive evaluation...

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Bibliographic Details
Main Authors: Zachary McCarthy, Yanyu Xiao, Francesca Scarabel, Biao Tang, Nicola Luigi Bragazzi, Kyeongah Nah, Jane M. Heffernan, Ali Asgary, V. Kumar Murty, Nicholas H. Ogden, Jianhong Wu
Format: Article
Language:English
Published: SpringerOpen 2020-12-01
Series:Journal of Mathematics in Industry
Subjects:
COVID-19
Intervention evaluation
Mathematical modelling
Transmission model
Heterogeneous mixing
Non-pharmaceutical interventions
Online Access:https://doi.org/10.1186/s13362-020-00096-y

Internet

https://doi.org/10.1186/s13362-020-00096-y

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