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Sick leave due to COVID-19 during the first pandemic wave in France, 2020.

David R M SmithSofía JijónAjmal OodallyGeorge ShirreffKarim Aït BouziadPearl Anne Ante-TestardJonathan BastardHanifa BouziriOumou Salama DaoudaTom DucheminAnne-Sophie Godon-RensonnetPaul HenriotYasmine HouriHélène NeynaudAnne PerozzielloFrédérique ThononPascal CrépeyWilliam DabKévin JeanLaura Temime
Published in: Occupational and environmental medicine (2023)
France was heavily impacted by sick leave during the first pandemic wave, with COVID-19 contacts accounting for approximately three-quarters of COVID-19-related sick leaves. In the absence of representative sick leave registry data, local demography, employment patterns, epidemiological trends and contact behaviours can be synthesised to quantify sick leave burden and, in turn, predict economic consequences of infectious disease epidemics.
Keyphrases
  • coronavirus disease
  • sars cov
  • infectious diseases
  • respiratory syndrome coronavirus
  • electronic health record
  • artificial intelligence
  • deep learning
  • drug induced