Statistical inference in a stochastic epidemic SEIR model with control intervention: Ebola as a case study.

@article{Lekone2006StatisticalII,
  title={Statistical inference in a stochastic epidemic SEIR model with control intervention: Ebola as a case study.},
  author={Phenyo E Lekone and B{\"a}rbel Finkenst{\"a}dt},
  journal={Biometrics},
  year={2006},
  volume={62 4},
  pages={
          1170-7
        }
}
A stochastic discrete-time susceptible-exposed-infectious-recovered (SEIR) model for infectious diseases is developed with the aim of estimating parameters from daily incidence and mortality time series for an outbreak of Ebola in the Democratic Republic of Congo in 1995. The incidence time series exhibit many low integers as well as zero counts requiring an intrinsically stochastic modeling approach. In order to capture the stochastic nature of the transitions between the compartmental… CONTINUE READING
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The epidemiology of Ebola hemorrhagic fever in Zaire , 1976

  • J. G. Breman, P. Piot, K. M. Johnson
  • Proceedings of the International Colloquium on…
  • 1977
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Revised February 2006

  • Received July
  • Accepted March .
  • 2005

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