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is ?:annotates of
?:authorAffiliation
  • [\'School of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.\', \'School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2050, South Africa.\', \'Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada.\', \'Disaster & Emergency Management, School of Administrative Studies and Advanced Disaster, Emergency and Rapid-Response Simulation, York University, Toronto, ON M3J 1P3, Canada.\', \'Department of Community Health, School of Public Health, University of the Witwatersrand, Johannesburg 2050, South Africa.\', \'Office of the Premier, Gauteng Government, 13th Floor, East Wing, 30 Simmonds St., Marshalltown, Johannesburg 2107, South Africa.\', \'Dahdaleh Institute for Global Health Research, York University, Toronto, ON M3J 1P3, Canada.\', \'iThemba LABS, National Research Foundation, P.O. Box 722, Somerset West 7129, South Africa.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 737610.3390/ijerph18147376
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?:journal
  • International journal of environmental research and public health
is ?:pmid of
?:pmid
?:pmid
  • 34299827
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?:rankingScore_SJR
  • 0.735
?:rankingScore_hIndex
  • 67
?:title
  • Development of an Early Alert System for an Additional Wave of COVID-19 Cases Using a Recurrent Neural Network with Long Short-Term Memory.
?:type
?:year
  • 2021

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