Selected article for: "compartment model and disease outbreak"
Author: Maeno, Yoshiharu
Title: Discovering network behind infectious disease outbreak
  • Cord-id: qnn4v0k2
  • Document date: 2010_11_1
    • ID: qnn4v0k2
    Snippet: Stochasticity and spatial heterogeneity are of great interest recently in studying the spread of an infectious disease. The presented method solves an inverse problem to discover the effectively decisive topology of a heterogeneous network and reveal the transmission parameters which govern the stochastic spreads over the network from a dataset on an infectious disease outbreak in the early growth phase. Populations in a combination of epidemiological compartment models and a meta-population net
    Document: Stochasticity and spatial heterogeneity are of great interest recently in studying the spread of an infectious disease. The presented method solves an inverse problem to discover the effectively decisive topology of a heterogeneous network and reveal the transmission parameters which govern the stochastic spreads over the network from a dataset on an infectious disease outbreak in the early growth phase. Populations in a combination of epidemiological compartment models and a meta-population network model are described by stochastic differential equations. Probability density functions are derived from the equations and used for the maximal likelihood estimation of the topology and parameters. The method is tested with computationally synthesized datasets and the WHO dataset on the SARS outbreak.

    Search related documents:
    Co phrase search for related documents
    • absence presence and acute respiratory syndrome: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • absence presence and local government: 1, 2
    • absolute deviation and acute respiratory syndrome: 1
    • absolute value and acute respiratory syndrome: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
    • accurate estimation and acute respiratory syndrome: 1, 2, 3, 4, 5, 6
    • accurate estimation and local maximum: 1, 2
    • acquire knowledge and acute respiratory syndrome: 1, 2, 3
    • acute respiratory syndrome and local government: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • acute respiratory syndrome and local maximum: 1, 2