Radiation methods in decision support system for food safety

• Authors: Wojciech Migdal , Urszula Gryczka , Jerzy Bertrandt , Tadeusz Nowicki , Radosław Pytlak
• Languages of publication: EN

Abstracts

EN

Mathematical model is the basis for computer decision support system (DSS) connected with food security strategy, in which food irradiation is one of the methods used for elimination of substance with pathogens. Such system can support an organisation of many different activities in the area of food safety. It can be designed for a specific region, country, etc., and is addressed to State Sanitary Inspection offices. The paper demonstrates the capabilities of the system in modeling activities of sanitary inspection teams aimed at pathogen elimination with the use of electron beam irradiation in procedures of utilisation of animal originated food, related packaging, or other microbiologically contaminated materials. It describes new application of both computer supported decision systems and radiation processing. The elaborated mathematical models show human activities in the process of microbiological contamination elimination.

Keywords

EN

decision support system; microbiological food safety; radiation methods

• Publisher: De Gruyter Open
• Journal: Nukleonika
• Year: 2014
• Volume: 59
• Issue: 4
• Pages: 161-168

Dates

published

1 - 12 - 2014

accepted

18 - 9 - 2014

received

26 - 6 - 2014

online

30 - 12 - 2014

Contributors

author

Wojciech Migdal

• Institute of Nuclear Chemistry and Technology, 16 Dorodna Str., 03-195 Warsaw, Poland, Tel./Fax: [phone]

author

Urszula Gryczka

• Institute of Nuclear Chemistry and Technology, 16 Dorodna Str., 03-195 Warsaw, Poland, Tel./Fax: [phone]

author

Jerzy Bertrandt

• Military Institute of Hygiene & Epidemiology, 4 Kozielska Str., 01-163 Warsaw, Poland

author

Tadeusz Nowicki

• Military University of Technology, 2 Kaliskiego Str., 00-908 Warsaw, Poland

author

Radosław Pytlak

• Warsaw University of Technology, 8 św. Boboli Str., 02-525 Warsaw, Poland

References

• 1. Cioca, M., & Cioca, L. (2010). Decision support systems used in disaster management. Chiang S. Jao (Ed.), Decision support systems. InTech, from InTech Open Science, http://www.intechopen.com/books/decision-support-systems/decision-support-systemsused-in-disaster-management. DOI: 10.5772/39452.[Crossref]
• 2. Scalan, E., Hoekstra, R. M., Angulo F. J., Tauxe, R. V., Widdowson, M. A., Roy, S. L., Jones, J. L., & Griffin, P. M. (2011). Foodborne illness acquired in the United States - major pathogens. Emerg. Infect. Dis., 17, 7-15. DOI: 10.3201/eid1701.091101p1.[WoS][Crossref]
• 3. Centers for Disease Control and Prevention. (2013). Incidence and trends of infection with pathogens transmitted commonly through food, 1996-2012. Foodborne Diseases Active Surveillance Network. 10 U.S. Sites. CDC Weekly Report, April 19, 62(15), 283-287.
• 4. Henao, O. L., Crim, S. M., & Hoekstra, R. M. (2012). Calculating a measure of overall change in the incidence of selected laboratory-confi rmed infections with pathogens transmitted commonly through food. Foodborne Diseases Active Surveillance Network (FoodNet). Clin. Infect. Dis., 54(Suppl. 5), 418-420.[WoS]
• 5. National Institute of Public Health, National Institute of Hygiene, Department of Epidemiology. (2013). Infectious diseases and poisonings in Poland in 2012. Warsaw.
• 6. World Health Organization, Food Safety Department (2002). Terrorist threats to food: guidance for establishing and strengthening prevention and response systems. Geneva: WHO Press.
• 7. U.S. Food and Drug Administration, CFSAN/Offi ce of Regulations and Policy. (2003). Risk assessment for food terrorism and other food safety concerns. Washington. Federal Register (Vol. 68, Issue 197).
• 8. Torok, T. J., Tauxe, R. V., & Wise, R. P. (1987). A large community outbreak of Salmonella caused by intentional contamination of restaurant salad bars. J. Am. Med. Inf. Assoc., 278, 389-395.
• 9. Chmielewski, A. G., & Haji-Saeid, M. (2004) Radiation technologies: past, present and future. Radiat. Phys. Chem., 71, 17-21. DOI: 10.1016/j.radphyschem. 2004.05.040.[Crossref]
• 10. Henry, T. G. (2005). Inactivation of bio-terrorism agents in military and domestic application. In L. G. Gazso & C. C. Ponta (Eds.), Radiation inactivation of bioterrorism agents (pp. 147-152). Amsterdam: IOS Press.
• 11. Desrosiers, M. F., Coursey, B., Seltzer, S., Hudson, L., Puhl, J., Bergstrom, P., Bateman, F., Cooper, S., Alderson, D., Knudson, G., Elliott, T., Shoemaker, M., Lowy, J., Miller, S., & Dunlop, J. (2005). Irradiation decontamination. In L. G. Gazso & C. C. Ponta (Eds.), Radiation inactivation of bioterrorism agents (pp. 115-126). Amsterdam: IOS Press.
• 12. Desrosiers, M. F. (2004). Irradiation applications for homeland security. Radiat. Phys. Chem., 71, 479-482. DOI: 10.1016/j.radphyschem.2004.03.084.[Crossref]
• 13. Lowy, R. J., Elliott, T. B., Shoemaker, M. O., Knudson, G. B., & Desrosiers, M. F. (2005). Foreword. In L. G. Gazso & C. C. Ponta (Eds.), Radiation inactivation of bioterrorism agents (pp. V-VII). Amsterdam: IOS Press.
• 14. World Health Organization. (2008). Foodborne disease outbreaks: Guidelines for investigation and control. Geneva: WHO Press.
• 15. Turnbull, P. C. B., & Böhm, R. (1993). Guidelines for the surveillance and control of anthrax in humans and animals. WHO. (WHO/EMC/ZDI/98.6).
• 16. Niebuhr, S. E., & Dickson, J. S. (2003). Destruction of Bacillus anthracis strain Sterne 34F2 spores in postal envelopes by exposure to electron beam irradiation. Lett. Appl. Microbiol., 37, 17-20. DOI: 10.1046/j.1472-765X.2003.01337.x.[Crossref]
• 17. Demarest, M. (2005). Technology and policy in decision support systems. DSSResources.COM. http://dssresources.com/papers/features/demarest05/demarest07082005.html.
• 18. Scheer, A. W. ASIM Dynamic simulation with ARIS. IDS Scheer AG, 2003/2004.
• 19. Brabander, E., & Davis, R. (2007). ARIS Design platform. Getting started with BPM. London: Springer.
• 20. Sterman, J. D. (2000). Business dynamics. System thinking and modeling for complex world. Kingsport: McGraw-Hill Higher Education.
• 21. Vensim Ventana Systems. (2014). Vensim user’s guide, from http://vensim.com/docs.

Identifiers

DOI

10.2478/nuka-2014-0022