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  • [\'Department of Architecture and Built Environment, University of Nottingham Ningbo China, 199 Taikang East Road, PMB 429, Ningbo, 315100, China. Ali.Cheshmehzangi@nottingham.edu.cn.\', \'Urban Innovation Lab, Ningbo, 315100, Zhejiang, China. Ali.Cheshmehzangi@nottingham.edu.cn.\', \'Network for Education and Research on Peace and Sustainability (NERPS), Hiroshima University, Hiroshima, 739-8530, Japan. Ali.Cheshmehzangi@nottingham.edu.cn.\', \'Department of Architecture and Built Environment, University of Nottingham Ningbo China, 199 Taikang East Road, PMB 429, Ningbo, 315100, China. Yujian.Li@nottingham.edu.cn.\', \'Department of Architecture and Built Environment, University of Nottingham Ningbo China, 199 Taikang East Road, PMB 429, Ningbo, 315100, China.\', \'UT Health San Antonio, San Antonio, TX, 78229, USA.\', \'Urban Innovation Lab, Ningbo, 315100, Zhejiang, China.\']
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  • -1
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  • 10.1038/s41598-022-05859-8
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  • Scientific reports
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?:pmid
  • 35121784
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  • 1.533
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  • 122
?:title
  • A hierarchical study for urban statistical indicators on the prevalence of COVID-19 in Chinese city clusters based on multiple linear regression (MLR) and polynomial best subset regression (PBSR) analysis.
?:type
?:year
  • 2022

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