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.