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  • [\'Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. eaccorsi@g.harvard.edu.\', \'Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.\', \'Department of Mathematics and Statistics, Vassar College, Poughkeepsie, NY, 12604, USA.\', \'Department of Mathematics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.\', \'Division of Infection and Global Health Research, School of Medicine, University of St Andrews, St Andrews, UK.\', \'Specialist Virology Laboratory, Royal Infirmary of Edinburgh, Edinburgh, UK.\', \'Regional Infectious Diseases Unit, Western General Hospital, Edinburgh, UK.\', \'Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.\']
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  • -1
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?:doi
  • 10.1007/s10654-021-00727-7
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  • European journal of epidemiology
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  • 33634345
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  • 3.228
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  • 91
?:title
  • How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19.
?:type
?:year
  • 2021

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