Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.
Stud Health Technol Inform
; 316: 1817-1821, 2024 Aug 22.
Article
en En
| MEDLINE
| ID: mdl-39176844
ABSTRACT
Cruise ships are densely populated ecosystems where infectious diseases can spread rapidly. Hence, early detection of infected individuals and risk assessment (RA) of the disease transmissibility are critical. Recent studies have investigated the long-term assessment of transmission risk on cruise ships; however, short-term approaches are limited by data unavailability. To this end, this work proposes a novel short-term knowledge-based method for RA of disease transmission based on fuzzy rules. These rules are constructed using knowledge elicited from domain experts. In contrast to previous approaches, the proposed method considers data captured by several sensors and the ship information system, according to a recently proposed smart ship design. Evaluation with agent-based simulations confirms the effectiveness of the proposed method across various cases.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Navíos
/
Lógica Difusa
/
COVID-19
Límite:
Humans
Idioma:
En
Revista:
Stud Health Technol Inform
/
Stud. health technol. inform.
/
Studies in health technology and informatics (Online)
Asunto de la revista:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Año:
2024
Tipo del documento:
Article
País de afiliación:
Grecia