• Revista médica de Chile · Feb 2023

    [Artificial intelligence fuzzy system for the design of confinements during quarantines].

    • Daniel E Sánchez, Claudio A Méndez, Gina Brun, Marcela Traub-Muñoz, and Laécio C Barros.
    • Centro de Docencia de Ciencias Básicas para Ingeniería, Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, Chile.
    • Rev Med Chil. 2023 Feb 1; 151 (2): 197205197-205.

    BackgroundDifferent modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus.AimTo analyze and compare retrospectively the implementation of the Step- to-Step plan devised by the Chilean Ministry of Health during the pandemic. To propose a decision-making path based on an artificial intelligence fuzzy system to determine confinements in specific territories.Material And MethodsThe Step-to-Step Plan threshold values such hospital network capacity, epidemic spreading, testing and contact tracing capability were modeled using fuzzy numbers and fuzzy rule-based systems.ResultsMinistry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators.ConclusionsUsing an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population.

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