Selected article for: "different behavior and disease evolution predict"

Author: CESAR BORDEHORE; Miriam Navarro; Zaida Herrador; Eva S. Fonfria
Title: Understanding COVID-19 spreading through simulation modeling and scenarios comparison: preliminary results.
  • Document date: 2020_4_1
  • ID: ib0cofa4_3
    Snippet: The aim of this study is to provide an open model (using STELLA® from Iseesystems) that can be customized to any area/region and by any user, allowing them to evaluate the different behavior of the COVID-19 dynamics under different scenarios. Thus, our intention is not to generate a model to accurately predict the evolution of the disease nor to supplant others more robust -official and non-official-from governments and renowned institutions. We.....
    Document: The aim of this study is to provide an open model (using STELLA® from Iseesystems) that can be customized to any area/region and by any user, allowing them to evaluate the different behavior of the COVID-19 dynamics under different scenarios. Thus, our intention is not to generate a model to accurately predict the evolution of the disease nor to supplant others more robust -official and non-official-from governments and renowned institutions. We believe that scenarios comparison can be an effective tool to convince the society of the need of a colossal and unprecedented effort to reduce new infections and ultimately, fatalities.

    Search related documents:
    Co phrase search for related documents
    • accurately disease evolution predict and different behavior: 1, 2
    • accurately disease evolution predict and disease evolution: 1, 2
    • accurately disease evolution predict and disease evolution predict: 1, 2
    • accurately disease evolution predict and effective tool: 1, 2
    • accurately disease evolution predict and non official robust supplant: 1, 2
    • accurately disease evolution predict and open model: 1, 2
    • accurately disease evolution predict and open model provide: 1, 2
    • accurately disease evolution predict and study aim: 1, 2
    • area region and different behavior: 1, 2
    • area region and different scenario: 1
    • area region and disease evolution: 1, 2, 3
    • area region and disease evolution predict: 1, 2
    • area region and effective tool: 1, 2
    • area region and new infection: 1
    • area region and non official robust supplant: 1, 2
    • area region and open model: 1, 2
    • area region and open model provide: 1, 2
    • area region and study aim: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • different behavior and disease evolution: 1, 2, 3