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[Artificial intelligence fuzzy system for the design of confinements during quarantines]
Daniel E Sánchez1, Claudio A Méndez2, Gina Brun3
1Centro de Docencia de Ciencias Básicas para Ingeniería, Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, Chile.
Background:
Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus.
Aim:
To 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 Methods:
The 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.
Results:
Ministry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators.
Conclusions:
Using an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population.
