Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data-Reference-Cited by-同舟云学术

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Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data

Published:2020-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Hao Qianyue¹,Chen Lin¹,Xu Fengli¹,Li Yong¹

Affiliation:

1. Tsinghua University, Beijing, China

Funder

Beijing Natural Science Foundation

The National Key Research and Development Program of China

Research Fund of Tsinghua University - Tencent Joint Laboratory for Internet Innovation Technology

The National Nature Science Foundation of China

Beijing National Research Center for Information Science and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3412860

Reference19 articles.

1. Multiscale mobility networks and the spatial spreading of infectious diseases

2. Duygu Balcan Hu Hao Bruno Goncalves Paolo Bajardi Chiara Poletto Jose J Ramasco Daniela Paolotti Nicola Perra Michele Tizzoni and Van Den Wouter Broeck. 2009b. Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. (2009). Duygu Balcan Hu Hao Bruno Goncalves Paolo Bajardi Chiara Poletto Jose J Ramasco Daniela Paolotti Nicola Perra Michele Tizzoni and Van Den Wouter Broeck. 2009b. Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility. (2009).

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