PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, People\'s Republic of China.\', \'University of Chinese Academy of Sciences, Beijing 100049, People\'s Republic of China.\', \'Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, People\'s Republic of China.\', \'State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, Fujian, People\'s Republic of China.\', \'Geography Department, National University of Singapore, AS2-03-01, 1 Arts Link, Singapore 117570, Republic of Singapore.\', \'WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK.\', \'National Supercomputing Center in Shenzhen, Shenzhen 518055, Guangdong, People\'s Republic of China.\', \'The Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350108, Fujian, People\'s Republic of China.\', \'Department of Geography, University of Florida, Gainesville, FL 32611, USA.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1098/rsif.2021.0112
?:doi
?:hasPublicationType
?:journal
  • Journal of the Royal Society, Interface
is ?:pmid of
?:pmid
?:pmid
  • 34428950
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • A data driven agent-based model that recommends non-pharmaceutical interventions to suppress Coronavirus disease 2019 resurgence in megacities.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all