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Levent G, Laine CG, Berquist M, Gonzalez M, Simmons H, Tickel J, Scott HM. A risk-based mutual insurance premium framework for establishing indices of vulnerability to the intentional introduction of transboundary animal diseases. Transbound Emerg Dis 2022; 69:3582-3596. [PMID: 36189839 PMCID: PMC10092877 DOI: 10.1111/tbed.14721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 09/01/2022] [Accepted: 09/28/2022] [Indexed: 02/07/2023]
Abstract
Biological agents as weapons of agro-crime or agro-terrorism pose threats to peace and economic stability. Such agents pre-exist worldwide as hazards, adversely affecting animal health, as well as imposing substantial burdens on many nations. Few studies have quantified the global risks and vulnerabilities of countries and regions to potential terrorist or criminal operations targeting animal health. We present here a risk-based mutual insurance premium framework for animal health outcomes built upon the World Organisation for Animal Health (WOAH) quantitative risk assessment paradigm. Our objective was to generate dimensionless and relative domain indices related to release and exposure for several biological factors, as well as to assess the preparedness and response ability of each country. We also considered disease-specific measures relating to pathogens, targeted animal populations, the ongoing disease situation, within- and among-country peace or conflict, disease-specific control measures, and the availability of technical tools and personnel for successful disease management. National economic, political, and research and development competencies were used to assess each WOAH Member's potential for resilience. We formulated indices of vulnerability for 25 WOAH Members selected from five worldwide regions; initially, against four transboundary infectious animal diseases that target diverse animal species. We developed these indices using variables obtained from public databases arising from multiple intergovernmental organizations. Subsequently, we compared the relative vulnerability indices among countries for each given disease using three different index building methods: arithmetic mean, distance matrix, and principal component analysis (PCA). The PCA-based approach provided the greatest ability to discriminate among the components and among countries and regions. Due to its transparency and reliance on publicly available datasets, the risk premium framework proposed herein may readily be adjusted by policymakers and agencies and utilized to improve risk management strategies against agro-crime or agro-terror events, as well as for unintentional disease introductions.
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Affiliation(s)
- Gizem Levent
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA.,School of Veterinary Medicine, Texas Tech University, Amarillo, Texas, USA
| | - Christopher Glen Laine
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Melissa Berquist
- Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station, Texas, USA.,iBio, Inc., Bryan, Texas, USA
| | - Miguel Gonzalez
- Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station, Texas, USA.,BCarbon, Houston, Texas, USA
| | - Heather Simmons
- Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station, Texas, USA
| | - Jimmy Tickel
- Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station, Texas, USA
| | - Harvey Morgan Scott
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
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Koch L, Nespoulous O, Turc J, Linard C, Martigne P, Beaussac M, Murris S, Ferraris O, Grandadam M, Frenois-Veyrat G, Lopes AA, Boutonnet M, Biot F. Risk Analysis by Failure Modes, Effects and Criticality Analysis and Biosafety Management During Collective Air Medical Evacuation of Critically Ill Coronavirus Disease 2019 Patients. Air Med J 2022; 41:88-95. [PMID: 35248351 PMCID: PMC8529270 DOI: 10.1016/j.amj.2021.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/25/2021] [Accepted: 10/13/2021] [Indexed: 11/27/2022]
Abstract
In March 2020, coronavirus disease 2019 (COVID-19) caused an overwhelming pandemic. To relieve overloaded intensive care units in the most affected regions, the French Ministry of Defence triggered collective air medical evacuations (medevacs) on board an Airbus A330 Multi Role Tanker Transport of the French Air Force. Such a collective air medevac is a big challenge regarding biosafety; until now, only evacuations of a single symptomatic patient with an emergent communicable disease, such as Ebola virus disease, have been conducted. However, the COVID-19 pandemic required collective medevacs for critically ill patients and involved a virus that little is known about still. Thus, we performed a complete risk analysis using a process map and FMECA (Failure Modes, Effects and Criticality Analysis) to assess the risk and implement mitigation measures for health workers, flight crew, and the environment. We report the biosafety management experienced during 6 flights with a total of 36 critically ill COVID-19-positive patients transferred with no casualties while preserving both staffs and aircraft.
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Affiliation(s)
- Lionel Koch
- Bacteriology Unit, French Armed Forces Biomedical Research Institute, Paris, France.
| | - Olivier Nespoulous
- Aeromedical Research and Training Unit, French Armed Forces Biomedical Research Institute, Paris, France
| | - Jean Turc
- Department of Anesthesiology and Intensive Care Unit, Military Teaching Hospital, Lyon, France; Department of Anesthesiology and Intensive Care Unit, Edouard Herriot Hospital, Lyon, France
| | - Cyril Linard
- Analytics Developments and Bioanalysis Unit, French Armed Forces Biomedical Research Institute, Paris, France
| | - Patrick Martigne
- Radiobiology Unit, French Armed Forces Biomedical Research Institute, Paris, France
| | | | | | - Olivier Ferraris
- Virology Unit, French Armed Forces Biomedical Research Institute, Paris, France
| | - Marc Grandadam
- Virology Unit, French Armed Forces Biomedical Research Institute, Paris, France
| | | | - Anne-Aurélie Lopes
- Pediatric Emergency Department, AP-HP, Robert Debre Hospital, Sorbonne University, Paris, France
| | - Mathieu Boutonnet
- Department of Anesthesiology and Intensive Care Unit, Military Teaching Hospital Percy, Clamart, France; Val-de-Grâce Military Medicine Academy, Paris, France
| | - Fabrice Biot
- Bacteriology Unit, French Armed Forces Biomedical Research Institute, Paris, France
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