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  • [\'I-BioStat, Data Science Institute, Hasselt University, Martelarenlaan 42, Hasselt B-3500, Belgium; I-BioStat, Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven, Kapucijnenvoer 35, Leuven B-3000, Belgium. Electronic address: thomas.neyens@uhasselt.be.\', \'I-BioStat, Data Science Institute, Hasselt University, Martelarenlaan 42, Hasselt B-3500, Belgium.\', \'Faculty of Social Sciences, University of Antwerp, Sint-Jacobstraat 2, Antwerp 2000, Belgium.\', \'I-BioStat, Data Science Institute, Hasselt University, Martelarenlaan 42, Hasselt B-3500, Belgium; Center for Health Economics Research and Modeling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Universiteitsplein 1, Antwerp 2610, Belgium.\', \'Center for Health Economics Research and Modeling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Universiteitsplein 1, Antwerp 2610, Belgium.\', \'I-BioStat, Data Science Institute, Hasselt University, Martelarenlaan 42, Hasselt B-3500, Belgium; I-BioStat, Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven, Kapucijnenvoer 35, Leuven B-3000, Belgium.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S1877-5845(20)30057-510.1016/j.sste.2020.100379
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  • Spatial and spatio-temporal epidemiology
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  • 33138946
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  • 18
?:title
  • Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?
?:type
?:year
  • 2020

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