Selected article for: "underlying demographic model and workplace school"

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_26
    Snippet: A simulation algorithm, realised in computer software, manipulates the underlying demographic model and captures both population mobility and the changing infectivity profile of each individual. The simulation algorithm captures the state of the whole population twice per day, a daytime point-in-time snapshot and an evening snapshot, with individuals (possibly) moving locations between successive day or night periods, such as household to school .....
    Document: A simulation algorithm, realised in computer software, manipulates the underlying demographic model and captures both population mobility and the changing infectivity profile of each individual. The simulation algorithm captures the state of the whole population twice per day, a daytime point-in-time snapshot and an evening snapshot, with individuals (possibly) moving locations between successive day or night periods, such as household to school or workplace for the day phase, returning to home for the night period. Individuals come into contact with other individuals on a one-to-one basis in each location, with possible influenza transmission then occurring.

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