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Modelling COVID-19.

Alessandro VespignaniHuaiyu TianChristopher DyeJames O Lloyd-SmithRosalind M EggoMunik ShresthaSamuel V ScarpinoBernardo GutierrezMoritz U G KraemerJoseph WuKathy LeungGabriel M Leung
Published in: Nature reviews. Physics (2020)
As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.
Keyphrases
  • coronavirus disease
  • sars cov
  • genome wide
  • single cell
  • dna methylation