Selected article for: "binomial model and event number"
Author: Adeshina Israel Adekunle; Michael Meehan; Diana Rojaz Alvarez; James Trauer; Emma McBryde
Title: Delaying the COVID-19 epidemic in Australia: Evaluating the effectiveness of international travel bans
  • Document date: 2020_3_27
    • ID: c1eemq9v_19
    Snippet: Each country COVID-19 dynamics follows the schematic representation in Fig S2. The infectious classes are late latency 2 and the two stages of symptomatic infectiousness . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. where superscript indicates country. This model is extended to all countries and coded in R (9) using the infectious di.....
    Document: Each country COVID-19 dynamics follows the schematic representation in Fig S2. The infectious classes are late latency 2 and the two stages of symptomatic infectiousness . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. where superscript indicates country. This model is extended to all countries and coded in R (9) using the infectious disease node of the Australia Nectar Research cloud (www.nectar.org.au) as an individual-based model with a binomial distribution of the number of people that will experience an event at a specific time step. The events are infection, migration, emigration, recovery and death due to COVID-19. We neglected natural death, as this does not affect our result.

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