Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship
- Resource Type
- Conference
- Authors
- Oliveira, Helder C. R.; Shmerko, Vlad; Yanushkevich, Svetlana N.
- Source
- 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Computational Intelligence (SSCI), 2021 IEEE Symposium Series on. :1-8 Dec, 2021
- Subject
- Computing and Processing
General Topics for Engineers
Robotics and Control Systems
COVID-19
Pandemics
Prototypes
Probabilistic logic
Emergency services
Diamond
Cognition
Machine reasoning
Bayesian Network
Risk
Epidemiological surveillance
Decision support
Causal Inference
- Language
This paper focuses on designing a CI decision support to address rare events such as disease outbreaks in a ‘closed’ environment such as a cruise ship. We focus on a case study of the COVID-19 outbreak that happened on board the Diamond Princess cruise ship in 2020. It considers a graphical probabilistic model such as Bayesian Network. We consider this causal model to be a core of an intelligent decision support tool to help in emergency management. To prove this hypothesis, the prototype of a decision support tool was implemented and used to evaluate different scenarios. The results show that such system equipped with a reasoning engine is capable of evaluating the pandemic scenario risks, thus helping assess the impacts of certain preventive measures, and damages.