• Corpus ID: 243833059

Epidemic inference through generative neural networks

@article{Biazzo2021EpidemicIT,
  title={Epidemic inference through generative neural networks},
  author={Indaco Biazzo and Alfredo Braunstein and Luca Dall’Asta and Fabio Mazza},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.03383}
}
Reconstructing missing information in epidemic spreading on contact networks can be essential in prevention and containment strategies. For instance, identifying and warning infective but asymptomatic individuals (e.g., manual contact tracing) helped contain outbreaks in the COVID-19 pandemic. The number of possible epidemic cascades typically grows exponentially with the number of individuals involved. The challenge posed by inference problems in the epidemics processes originates from the… 

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