Clustering model for transmission of the SARS virus : application to epidemic control and risk assessment

@inproceedings{Small2005ClusteringMF,
  title={Clustering model for transmission of the SARS virus : application to epidemic control and risk assessment},
  author={Michael Small and Chi Kong Tse},
  year={2005}
}
We propose a new four state model for disease transmission and illustrate the model with data from the 2003 SARS epidemic in Hong Kong. The critical feature of this model is that the community is modelled as a small-world network of interconnected nodes. Each node is linked to a fixed number of immediate neighbors and a random number of geographically remote nodes. Transmission can only propagate between linked nodes. This model exhibits two features typical of SARS transmission: geographically… CONTINUE READING
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