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A Bayesian generative neural network framework for epidemic inference problems. (arXiv:2111.03383v3 [cs.SI] UPDATED)
cs.LG updates on arXiv.org arxiv.org
The reconstruction of missing information in epidemic spreading on contact
networks can be essential in the prevention and containment strategies. The
identification and warning of infectious but asymptomatic individuals (i.e.,
contact tracing), the well-known patient-zero problem, or the inference of the
infectivity values in structured populations are examples of significant
epidemic inference problems. As the number of possible epidemic cascades grows
exponentially with the number of individuals involved and only an almost
negligible subset of them is compatible with the …
arxiv bayesian epidemic framework inference network neural network