A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015

@article{Schweinberger2021ASB,
  title={A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015},
  author={Michael Schweinberger and R Bomiriya and Sergii Babkin},
  journal={Journal of Nonparametric Statistics},
  year={2021}
}
We consider incomplete observations of stochastic processes governing the spread of infectious diseases through finite populations by way of contact. We propose a flexible semiparametric modeling framework with at least three advantages. First, it enables researchers to study the structure of a population contact network and its impact on the spread of infectious diseases. Second, it can accommodate shortand long-tailed degree distributions and detect potential superspreaders, who represent an… Expand

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