A data driven agent-based model that recommends non-pharmaceutical interventions to suppress Coronavirus disease 2019 resurgence in megacities

Submitted date: 4 February 2021

Accepted/In Press date: 2 August 2021

Published date: 25 August 2021

Additional Information: Funding Information: Data accessibility. Mobile phone data were provided by the Shenzhen Transportation Operation Command Center (Contact: Binliang Li, 240854198@qq.com). Travel survey data, building survey data and census data were offered by the Planning and Natural Resources Bureau of Shenzhen Municipality (Contact: Renrong Jiang, jiangren-rong@126.com). The epidemic surveillance data were provided by the Shenzhen Center for Disease Control and Prevention (Contact: Shu-jiang Mei, sjmei66@163.com). Researchers who meet the criteria for access to confidential data can send requests to the above local government departments. The daily confirmed cases of COVID-19 are publicly accessible from the Shenzhen Municipal Health Commission (http://wjw.sz.gov.cn/yqxx/). Baidu migration data can be openly obtained from http://qianxi.baidu.com/. Authors’ contributions. L.Y., H.Z., L.M. and S.M. conceived the study. Y.L.1, S.M., L.Y., H.Z., X.T., Y.W., Y.L.2, L.N. and Z.Z. collected and analysed data for the model. L.Y., H.Z., L.M., K.L., T.C., S.M., S.L. and W.L. developed the model. H.Z. programmed the model and produced the output. S.F. and Y.W. improved the model in high-performance computing environment. L.N. and H.Z. created the visualization video. L.Y., H.Z., L.M., S.M., Y.L.1 and K.L. interpreted the results and wrote the manuscript. W.L., S.L., T.C. and Y.L.2 edited and revised the manuscript. All authors read and approved the manuscript. Y.L.1 is Yuan Li. Y.L.2 is Ye Li. Competing interests. The authors declare no potential conflicts of interest with respect to the research, authorship and/or publication of this article. Funding. This work was supported by National Natural Science Foundation of China (grant nos. 41771441, 41901391 and 81773498); R & D project of key areas in Guangdong Province (grant no. 2020B111107001); Natural Science Foundation of Guangdong Province, China (grant no. 2021A1515011191); Major science and technology projects of Xinjiang Uygur Autonomous Region (grant no. 2020A03004-4); Bill & Melinda Gates Foundation, Seattle, WA (grant nos. INV-005834 and INV-024911); National University of Singapore Start-up Grant (grant no. WBS R-109-000-270-133); and the Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology. Acknowledgements. The authors would like to thank the National Supercomputing Center in Shenzhen for providing high-performance computing cluster environment in a timely manner. The authors also thank the anonymous reviewers for their valuable suggestions. Publisher Copyright: © 2021 The Authors.

Related URLs:

• https://royalsocietypublishing....2021.0112

Keywords: COVID-19, agent-based model, contact tracing, facemask, mobile phone data, testing

Local EPrints ID: 451142

URI: http://eprints.soton.ac.uk/id/eprint/451142

DOI: doi:10.1098/rsif.2021.0112

ISSN: 1742-5689

PURE UUID: 26d8c981-054a-42e2-9df6-0908201381fe

ORCID for Shengjie Lai: orcid.org/0000-0001-9781-8148

Date deposited: 14 Sep 2021 15:15

Last modified: 17 Mar 2024 03:52