Two years after, the Chowell et al. research publication, Lekone and Finkenstadt at the University of Warwick have modified the model of Chowell et al. for discrete-time and stochastic progression at Ebola as a case study. Lekone and Finkenstadt concluded that their model can be used by epidemiologists to study the disease and the effectiveness of control interventions. In this critical analysis paper, I will provide the summary of this research paper and identify strengths and weaknesses, and provide evaluative comments. I will summarize the literature titled “Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study” and published by Lekone and Finkenstadt on Biometrics journal in 2006. I will identify its strengths and weaknesses and provide evaluative
Two years after, the Chowell et al. research publication, Lekone and Finkenstadt at the University of Warwick have modified the model of Chowell et al. for discrete-time and stochastic progression at Ebola as a case study. Lekone and Finkenstadt concluded that their model can be used by epidemiologists to study the disease and the effectiveness of control interventions. In this critical analysis paper, I will provide the summary of this research paper and identify strengths and weaknesses, and provide evaluative comments. I will summarize the literature titled “Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study” and published by Lekone and Finkenstadt on Biometrics journal in 2006. I will identify its strengths and weaknesses and provide evaluative