Forecasting norovirus cases on cruise ships to support outbreak management on board
Simple mathematical models integrating key mechanisms of norovirus transmission can help predict the number of cases on board. This knowledge can be automatized in syndromic surveillance systems to support decision making for the management of outbreaks.
Authors
- Alfredo De Bellis (ORCID: https://orcid.org/0000-0002-8903-5685)
- Giorgio Guzzetta (ORCID: https://orcid.org/0000-0002-9296-9470)
- Christos Hadjichristodoulou (ORCID: https://orcid.org/0000-0002-4769-8376)
- Andrea Bizzotto (ORCID: https://orcid.org/0009-0006-5270-3244)
- Valentina Marziano (ORCID: https://orcid.org/0000-0003-2842-7906)
- Varvara Α. Mouchtouri (ORCID: https://orcid.org/0000-0002-2535-3596)
- Leonidas Kourentis (ORCID: https://orcid.org/0000-0001-9478-136X)
- Lemonia Anagnostopoulos (ORCID: https://orcid.org/0000-0002-0654-1620)
- Stefano Merler
Institutions
- University of Thessaly (GR)
- University of Trento (IT)
- Fondazione Bruno Kessler (IT)
Publication Details
- Journal
- Travel Medicine and Infectious Disease
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1016/j.tmaid.2025.102850
- Citations
- 2
- Primary Topic
- Viral gastroenteritis research and epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 2.79