Methodology of Epidemic Risk Analysis in the Naval Military

Laetitia Peultier-Celli (), Alain Gérard, Franck Letourneur, Clara Inghels, Audrey Duclos and Philippe Perrin
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Laetitia Peultier-Celli: Safety Environment and Crew Department, Naval Group, F-56100 Lorient, France
Alain Gérard: Infectious Diseases, Faculty of Medicine, University of Lorraine, F-54500 Vandoeuvre-lès-Nancy, France
Franck Letourneur: Occupational Health Service, Naval Group, F-50100 Cherbourg-en-Cotentin, France
Clara Inghels: Safety Environment and Crew Department, Naval Group, F-56100 Lorient, France
Audrey Duclos: Safety Environment and Crew Department, Naval Group, F-56100 Lorient, France
Philippe Perrin: Research Unit DevAH—Development, Adaptation and Handicap, Faculty of Medicine, University of Lorraine, F-54500 Vandoeuvre-lès-Nancy, France

IJERPH, 2025, vol. 22, issue 4, 1-29

Abstract: This review of the literature examines diseases and pathogen characteristics on military vessels, in order to improve the success of missions on a boat. Our aim is to understand the spread of disease, aiming to maximize biological resilience and hopefully eliminate outbreaks. Keyword research was conducted from various sources of information, including scientific publications, theses, public health organization websites, and clinical trials. A synthesis of bacterial, viral, fungal, and parasitosis characteristics was established, and a risk prioritization index was defined, based on contagiousness (basic reproduction number (R0)) and clinical severity. For instance, COVID-19 was assessed as moderately contagious, with critical severity, and Influenza A H1N1 as having a minor level of contagiousness with critical severity, resulting in a level two out of three risk prioritization index. This approach demonstrates that while diseases have numerous characteristics, a method for classifying them by isolating specific criteria and prioritizing them could be proposed. In conclusion, further work is needed to analyze onboard operator activities and develop simulation models related to pathogen characteristics.

Keywords: pathogens characteristics; biological resilience; risk analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2025
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