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Geo-spatial Information Science Volume 25, 2022 - Issue 2
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Research Article

Geographically varying relationships between population flows from Wuhan and COVID-19 cases in Chinese cities

Gang Xua School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0001-5731-5036View further author information
ORCID Icon,
Wenwu Wanga School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
,
Dandan Lub Wuhan Geomatics Institute, Wuhan, ChinaView further author information
,
Binbin Lua School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7847-7560View further author information
ORCID Icon,
Kun Qina School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
&
Limin Jiaoc School of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaORCID Iconhttps://orcid.org/0000-0003-2643-3624View further author information
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Pages 121-131 | Received 13 Jan 2021, Accepted 02 Sep 2021, Published online: 27 Sep 2021

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Guangyuan Zhang, Stefan Poslad, Yonglei Fan & Xiaoping Rui. (2023) Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland. Geo-spatial Information Science 26:4, pages 642-663.
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Siqi Wang, Xiaoxiao Zhao, Jingyu Qiu, Haofen Wang & Chuang Tao. (2023) WDCIP: spatio-temporal AI-driven disease control intelligent platform for combating COVID-19 pandemic. Geo-spatial Information Science 0:0, pages 1-25.
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Binbin Lu, Yigong Hu, Daisuke Murakami, Chris Brunsdon, Alexis Comber, Martin Charlton & Paul Harris. (2022) High-performance solutions of geographically weighted regression in R. Geo-spatial Information Science 25:4, pages 536-549.
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Articles from other publishers (8)

Gang Xu, Siyuan Zhang, Edwin McCulley, Ran Wu, Xinhu Li & Limin Jiao. (2024) Evolving urban allometric scaling law of the COVID-19 epidemic in the United Kingdom. Journal of Urban Management.
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Na Chen, Nandin-Erdene Tsendbazar, Daniela Requena Suarez, Celso H.L. Silva-Junior, Jan Verbesselt & Martin Herold. (2024) Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests. ISPRS Journal of Photogrammetry and Remote Sensing 208, pages 233-244.
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Siyuan Zhang, Liran Liu, Qingxiang Meng, Yixuan Zhang, He Yang & Gang Xu. (2023) Spatiotemporal Patterns of the Omicron Wave of COVID-19 in the United States. Tropical Medicine and Infectious Disease 8:7, pages 349.
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Wei Luo, Yuxuan Zhou, Zhaoyin Liu, Wei Kang, Shenjing He, Rui Zhu, Ruiyun Li & Bo Huang. (2023) Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of “living with COVID-19”. Health & Place 81, pages 103000.
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Gizem Hayrullahoğlu & Çiğdem Varol. (2022) Understanding mobility dynamics using urban functions during the COVID-19 pandemic: comparison of pre-and post-new normal eras. Asia-Pacific Journal of Regional Science 6:3, pages 1087-1109.
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Zhangbo Yang, Jiahao Zhang, Shanxing Gao & Hui Wang. (2022) Complex Contact Network of Patients at the Beginning of an Epidemic Outbreak: An Analysis Based on 1218 COVID-19 Cases in China. International Journal of Environmental Research and Public Health 19:2, pages 689.
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Kun Qin, Donghai Liu, Gang Xu, Yanqing Xu, Xuesong Yu & Yang Zhou. 2022. New Thinking in GIScience. New Thinking in GIScience 265 273 .
Binbin Lu & Guanpeng Dong. 2022. Spatial Data and Intelligence. Spatial Data and Intelligence 154 161 .

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