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Geo-spatial Information Science Volume 26, 2023 - Issue 4: Multi-scale & multi-mode human mobility: pre, peri and post COVID-19 pandemic
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Research Article

Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland

Guangyuan Zhanga IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UKORCID Iconhttps://orcid.org/0000-0002-5028-2291View further author information
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Stefan Poslada IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UKORCID Iconhttps://orcid.org/0000-0002-3156-9609View further author information
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Yonglei Fana IoT Laboratory, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UKORCID Iconhttps://orcid.org/0000-0002-0038-4978View further author information
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Xiaoping Ruib School of Earth Sciences and Engineering, Hohai University, Nanjing, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7764-4272View further author information
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Pages 642-663 | Received 09 Aug 2021, Accepted 11 Apr 2022, Published online: 26 May 2022

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Tao Cheng & Huanfa Chen. (2023) Special issue on “multi-scale and multimodal human mobility: pre, peri and post COVID-19 pandemic”. Geo-spatial Information Science 26:4, pages 599-602.
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Guangyu Liu, Rui Li, Jing Xia, Zhaohui Liu, Jing Cai, Huayi Wu & Mingjun Peng. Dual-environment feature fusion-based method for estimating building-scale population distributions. Geo-spatial Information Science 0:0, pages 1-16.
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Articles from other publishers (1)

Wenxuan Bao, Adu Gong, Tong Zhang, Yiran Zhao, Boyi Li & Shuaiqiang Chen. (2023) Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data. Remote Sensing 15:2, pages 458.
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