Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong-Reference-Cited by-同舟云学术

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Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong

Published:2021-10 Issue:10 Volume:31 Page:101104
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Zhou Hanchu¹^ORCID,Zhang Qingpeng¹^ORCID,Cao Zhidong²,Huang Helai³,Dajun Zeng Daniel²

Affiliation:

1. School of Data Science, City University of Hong Kong, Hong Kong, China

2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. School of Traffic and Transportation Engineering, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0066086

Reference49 articles.

1. An interactive web-based dashboard to track COVID-19 in real time

2. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe

3. Modelling lockdown and exit strategies for COVID-19 in Singapore

4. Event-specific interventions to minimize COVID-19 transmission

5. The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. City-Cut or Radius-Cut? Design Principle of the Chinese Anti-pandemic Traveling Record Card System (Preprint);2024-07-31

2. Exploring data sources and mathematical approaches for estimating human mobility rates and implications for understanding COVID-19 dynamics: a systematic literature review;Journal of Mathematical Biology;2024-04-19

3. Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China;Journal of the American Medical Informatics Association;2023-06-26

4. A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups;PLOS Computational Biology;2023-04-27

5. A Community-Based Participatory Research Approach to Developing and Testing Social and Behavioural Interventions to Reduce the Spread of SARS-CoV-2: A Protocol for the ‘COPAR for COVID’ Programme of Research with Five Interconnected Studies in the Hong Kong Context;International Journal of Environmental Research and Public Health;2022-10-17

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