Selected article for: "local epidemic and stochastic simulation local epidemic"

Author: Milne, George J; Baskaran, Pravin; Halder, Nilimesh; Karl, Stephan; Kelso, Joel
Title: Pandemic influenza in Papua New Guinea: a modelling study comparison with pandemic spread in a developed country
  • Document date: 2013_3_26
  • ID: y01w04lc_157
    Snippet: One new infection per day was introduced into the population during the whole period of the simulations, and randomly allocated to a household. This seeding assumption of 1 case per day was chosen to reliably begin a local epidemic in every stochastic simulation. For the transmission characteristics described above, analysis shows that seeding at this rate for 7 days results in a sustained epidemic in >97% of the simulation runs and 100% with two.....
    Document: One new infection per day was introduced into the population during the whole period of the simulations, and randomly allocated to a household. This seeding assumption of 1 case per day was chosen to reliably begin a local epidemic in every stochastic simulation. For the transmission characteristics described above, analysis shows that seeding at this rate for 7 days results in a sustained epidemic in >97% of the simulation runs and 100% with two weeks of seeding, with higher percentages for the higher transmissibility scenarios. Seeding at this rate is continued throughout the simulation in order to capture the case where an epidemic may be initially suppressed by a rigorous intervention strategy, but may subsequently break out if intervention measures are relaxed.

    Search related documents:
    Co phrase search for related documents
    • day new infection and local epidemic: 1, 2, 3
    • day new infection and new infection: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • day new infection and reliably stochastic simulation local epidemic begin: 1, 2, 3
    • day new infection and rigorous intervention strategy: 1, 2, 3
    • intervention measure and local epidemic: 1
    • intervention measure and new infection: 1
    • intervention strategy and local epidemic: 1, 2, 3, 4, 5
    • intervention strategy and new infection: 1, 2, 3, 4, 5, 6
    • intervention strategy and reliably stochastic simulation local epidemic begin: 1, 2, 3, 4
    • intervention strategy and rigorous intervention strategy: 1, 2, 3, 4
    • local epidemic and new infection: 1, 2, 3, 4
    • local epidemic and population introduce: 1
    • local epidemic and reliably stochastic simulation local epidemic begin: 1, 2, 3, 4
    • local epidemic and rigorous intervention strategy: 1, 2, 3, 4
    • new infection and reliably stochastic simulation local epidemic begin: 1, 2, 3
    • new infection and rigorous intervention strategy: 1, 2, 3