Disease Spread Control in Cruise Ships: Monitoring, Simulation, and Decision Making

Georgios Triantafyllou (), Panagiotis G. Kalozoumis (), Eirini Cholopoulou () and Dimitris K. Iakovidis ()
Additional contact information
Georgios Triantafyllou: University of Thessaly, Department of Computer Science and Biomedical Informatics
Panagiotis G. Kalozoumis: University of Thessaly, Department of Computer Science and Biomedical Informatics
Eirini Cholopoulou: University of Thessaly, Department of Computer Science and Biomedical Informatics
Dimitris K. Iakovidis: University of Thessaly, Department of Computer Science and Biomedical Informatics

A chapter in The Blue Book, 2024, pp 93-141 from Springer

Abstract: Abstract Cruise ships transfer diverse populations between different countries, offering unique travel experiences to thousands of people worldwide. The benefits of cruises in tourism and national economies are apparent; however, the closed environment of cruise ships can easily become an incubator of infectious diseases, spreading rapidly among passengers. Health recommendations and protocols have been issued by proper organizations to enable disease spread control, especially after COVID-19 (SARS-CoV-2) pandemic; however, their effective application by the ship’s crew still constitutes a challenge, considering the application scale. This chapter aims to provide a foundational model toward an automatic system contributing to disease spread monitoring and control in cruise ships. Such a system would contribute to limiting the dependencies on the human factor, and consequently to passengers’ safety. Also, it provides an overview of state-of-the-art disease monitoring and decision-making systems, as well as simulation methods enabling the prediction of disease evolution, considered as components of that model. A summary of research directions and conclusions are derived from the review study performed, offering a useful reference for future research.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-48831-3_8

Ordering information: This item can be ordered from
http://www.springer.com/9783031488313

DOI: 10.1007/978-3-031-48831-3_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().