A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy-Reference-Cited by-同舟云学术

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A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy

Published:2023-11-01 Issue: Volume: Page:2607-2614
ISSN:
Container-title:2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Li Shifeng¹,Peng Ruoling²,Yang Po²,Yang Yun¹

Affiliation:

1. Yunnan University,School of Software,Kunming,China

2. The University of Sheffield,Department of Computer Science,Sheffield,United Kingdom

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10538469/10538471/10538911.pdf?arnumber=10538911

Reference23 articles.

1. What human mobility data tell us about COVID-19 spread

2. Life-Logging Data Aggregation Solution for Interdisciplinary Healthcare Research and Collaboration

3. Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan

4. Controlling COVID-19 via test-trace-quarantine

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