Work

Close Contact Tracing and Risky Area Identification Using Alpha Shape Algorithm and Binary Contact Detection Model Based on Bluetooth 5.1

Year: 2024

Type: article

Abstract: This study presents a novel approach to managing disease outbreaks on cruise ships by integrating Bluetooth 5.1 technology, a Binary Contact Detection Model, and an Alpha Shape algorithm.By harnessing the precise data capture capabilities of Bluetooth 5.1, this study accurately tracks interpersonal interactions and delineated high-risk areas, effectively enhancing close contact tracing and disease surveillance efforts.The Binary Contact Detection Model utilizes In-phase (I) and Quadrature (Q) data to identify close contacts with high accuracy, while the Alpha Shape algorithm helps in mapping out areas most susceptible to disease transmission.The combined use of these technologies represents a significant advancement in public health surveillance, offering a method to enhance safety and mitigate the spread of infections on cruise ships.

Source: Journal of ETA Maritime Science

DOI: 10.4274/jems.2024.09216

Authors: Qianfeng Lin, Jooyoung Son

Institution: Korea Maritime and Ocean University

Language: English

Topic: COVID-19 Digital Contact Tracing

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: National Research Foundation, National Research Foundation of Korea