Assessment of infection risk of Omicron variant in subways based on smartcard swipe data

Author:

Shang Shujia,Zhang Nan,Chen Yanyan,Hu Tingrui,Zhuang Linan,Yang Xueze,Wu Yongshen,Su Boni

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference69 articles.

1. Covid 19: open source model for rapid reduction of R to below 1 in high R0 scenarios;Baker;arXiv preprint arXiv 2112:13044,2021

2. Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes;Barbieri;PLoS One,2021

3. Insights into the impact of Covid-19 on household travel, work, activities and shopping in Australia–the early days under restrictions;Beck;Transport Pol. 99, 95-119,2020

4. Beijing Municipal Bureau of Statistics (BMBS). Permanent population in Beijing between 2012-2021. Available from:https://tjj.beijing.gov.cn/zt/eshdzt/eshdtsbj/202209/t20220922_2820571.html [Cited 2024 May 25].

5. Beijing Subway. Available from:http://www.bjsubway.com. [Cited 2023 September 26].

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