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