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

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