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Lekone, P.E. and Finkenstädt, B.F. (2006) Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study. Biometrics, 62, 1170-1177.
https://doi.org/10.1111/j.1541-0420.2006.00609.x

has been cited by the following article:

• TITLE: Mathematical Modelling of the COVID-19 Epidemic in Northern Ireland in 2020

  AUTHORS: Peter A. Hall, Gabor Kiss, Tilman Kuhn, Salissou Moutari, Ellen Patterson, Emily Smith

  KEYWORDS: Pandemic, Epidemic, SARS-CoV-2, COVID-19, Compartmental Model, SEIR Model, Basic Reproduction Number, Effective Reproduction Number, Parameter Estimates, Fitted Model

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.9 No.2, April 12, 2021

  ABSTRACT: In this study, we investigate the dynamics of the COVID-19 epidemic in Northern Ireland from 1st March 2020 up to 25th December 2020, using several copies of a Susceptible-Exposed-Infectious-Recovered (SEIR) compartmental model, and compare it to a detailed publicly available dataset. We split the data into 10 time intervals and fit the models on the consecutive intervals to the cumulative number of confirmed positive cases on each interval. Using the fitted parameter estimates, we also provide estimates of the reproduction number. We also discuss the limitations and possible extensions of the employed model.