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is ?:annotates of
?:authorAffiliation
  • [\'Department of Computer Science, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.\', \'Data Science Institute, Imperial College London, London, United Kingdom.\', \'Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China.\', \'Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai, China.\', \'School of Computing, University of Kent, Kent, United Kingdom.\', \'Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia.\', \'Institute of Neurology, University College London, London, United Kingdom.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1371/journal.pcbi.1009807
?:hasPublicationType
?:journal
  • PLoS computational biology
is ?:pmid of
?:pmid
?:pmid
  • 35196320
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 3.097
?:rankingScore_hIndex
  • 138
?:title
  • Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19.
?:type
?:year
  • 2022

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