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Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.

Georgios Triantafyllou1, Georgia Sovatzidi1, George Dimas1

  • 1Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35100, Greece.

Studies in Health Technology and Informatics
|August 23, 2024
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Summary
This summary is machine-generated.

This study introduces a new fuzzy rule-based method for short-term infectious disease risk assessment (RA) on cruise ships. It effectively uses sensor data and expert knowledge for rapid RA, improving onboard health safety.

Keywords:
Airborne transmissionagent-based simulationcruise shipsfuzzy logicfuzzy rules

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Area of Science:

  • Epidemiology
  • Public Health
  • Fuzzy Logic Systems

Background:

  • Cruise ships are high-risk environments for rapid infectious disease spread.
  • Early detection and risk assessment (RA) are crucial for onboard health.
  • Existing short-term RA methods lack sufficient data.

Purpose of the Study:

  • To develop a novel short-term, knowledge-based method for RA of disease transmission on cruise ships.
  • To address data limitations in current short-term RA approaches.
  • To integrate smart ship technologies for enhanced disease surveillance.

Main Methods:

  • A fuzzy rule-based system was developed using expert-elicited knowledge.
  • The method incorporates data from multiple sensors and ship information systems.
  • Agent-based simulations were employed for method evaluation.

Main Results:

  • The proposed fuzzy rule-based method demonstrates effectiveness in short-term RA.
  • The approach successfully integrates diverse data sources from smart ship designs.
  • Simulations confirmed the method's robustness across various scenarios.

Conclusions:

  • The novel fuzzy logic approach provides an effective solution for short-term disease transmission RA on cruise ships.
  • This method enhances onboard public health surveillance by leveraging smart ship capabilities.
  • It offers a valuable tool for mitigating infectious disease outbreaks in densely populated maritime environments.