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is ?:annotates of
?:authorAffiliation
  • [\'School of Geography and Planning, Department of Urban and Regional Planning, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, 510275, China; Guangdong Key Laboratory for Urbanization and Geo-simulation, China; Guangdong Provincial Engineering Research Center for Public Security and Disaster, China. Electronic address: geograik@gmail.com.\', \'School of Geography and Planning, Department of Urban and Regional Planning, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, 510275, China. Electronic address: frankfengs@outlook.com.\', \'Department of Geography and Regional Planning, School of Rural & Surveying Engineering, National Technical University of Athens (NTUA), 15780, Zografou Campus, Greece. Electronic address: imarakakis@gmail.com.\', \'Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China; City University of Hong Kong Shenzhen Research Institute, Shenzhen, China. Electronic address: yilu24@cityu.edu.hk.\', \'Institute of Geography, School of GeoSciences, University of Edinburgh, Edinburgh, UK. Electronic address: R.Wang-54@sms.ed.ac.uk.\']
?:citedBy
  • -1
?:creator
?:doi
  • S1353-8292(22)00005-310.1016/j.healthplace.2022.102744
?:doi
?:hasPublicationType
?:journal
  • Health & place
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?:pmid
?:pmid
  • 35114614
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?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach.
?:type
?:year
  • 2022

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