Artificial intelligence fuzzy system for the design of confinements during quarantines

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:151

Enthalten in:

Revista medica de Chile - 151(2023), 2 vom: 25. Feb., Seite 197-205

Sprache:

Spanisch

Weiterer Titel:

Aplicación de sistemas fuzzy para la toma de decisiones del Plan Paso a Paso: análisis de los indicadores para la comuna de Valdivia

Beteiligte Personen:

Sánchez, Daniel E [VerfasserIn]
Méndez, Claudio A [VerfasserIn]
Brun, Gina [VerfasserIn]
Traub-Muñoz, Marcela [VerfasserIn]
Barros, Laécio C [VerfasserIn]

Links:

Volltext

Themen:

English Abstract
Journal Article
RNA, Viral

Anmerkungen:

Date Completed 01.02.2024

Date Revised 01.02.2024

published: Print

Citation Status MEDLINE

doi:

10.4067/s0034-98872023000200197

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367841711