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Reconstructing Mayotte 2018-19 Rift Valley Fever outbreak in humans by combining serological and surveillance data.

Jonathan BastardGuillaume André DurandFanny ParentonYoussouf HassaniLaure DommerguesJuliette PaireauNathanaël HozéMarc RuelloGilda GrardRaphaëlle MétrasHarold Noël
Published in: Communications medicine (2022)
Our results suggest that a large part of RVFV infected people present subclinical forms of the disease and/or do not reach medical care that could lead to their detection by the surveillance system. This may threaten the implementation of exhaustive RVF surveillance and adequate control programs in affected countries.
Keyphrases
  • public health
  • primary care
  • big data
  • machine learning
  • sensitive detection