Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks

HIGHLIGHTS

  • who: J. Voznica from the Universitu00e9 Paris Citu00e9, Epidemiology and Modelling of Antibiotic Evasion, Paris, FranceUniversity of have published the article: Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
  • what: The authors focus on three specific, well-established birth-death models (Fig 1): birth-death model (BD)8,9, birth-death model with exposed and infectious classes (BDEI)5,10,11, and birth-death model with superspreading (BDSS)5,12. Using the approximation power of currently available neural_network architectures, the authors propose a likelihood-free . . .

     

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