Biological risk correlation analysis
https://doi.org/10.20914/2310-1202-2019-4-40-45
Abstract
Analysis and assessment of the level of biological risks in the production and processing of food. The collection and analysis of information about the epidemiological and epizootological situation was carried out in the Ryazan region. Research results can be used by medical and veterinary institutions, as well as agricultural enterprises in the region. The dynamic and level of biological risks were analyzed over 10 years. It is concluded that, in accordance with the epidemiological and epizootic situation, out of 30 registered over 10 years in the Ryazan Region, biological risk factors are very high in 3.33% of the considered factors (Mycobacterium tuberculosis - Mycobacterium tuberculosis, M. bovis, M. avium), there are no high-risk factors, 13.33% of the considered factors have an average risk level (Staphylococcus aureus, subfamily helminths, echinococcin, Ascaris lumbricoides and Enterobius vermicularis), a low risk level is typical for 33.34%, very low - for 50 %, According to the results of research, medical and veterinary institutions are developing a set of measures to minimize and control them: conducting diagnostic (including laboratory tests), quarantine, treatment and prophylactic, disinfection, deratization and disinsection measures iyatiy.
About the Authors
A. I. Novak
Ryazan State Medical University named after academician I.P. Pavlova
Russian Federation
Dr. Sci. (Biol.), professor, microbiology department, Shevchenko str., 34, Ryazan, Russia
Russian Federation
Dr. Sci. (Biol.), professor, microbiology department, Shevchenko str., 34, Ryazan, Russia
Y. O. Lyashchuk
Moscow University named after S.Yu. Witte (Ryazan branch)
associate professor, business and management department, Pervomaisky avenue, 62, Ryazan, Russia
associate professor, business and management department, Pervomaisky avenue, 62, Ryazan, Russia
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Review
For citations:
Novak A.I., Lyashchuk Y.O. Biological risk correlation analysis. Proceedings of the Voronezh State University of Engineering Technologies. 2019;81(4):40-45. (In Russ.) https://doi.org/10.20914/2310-1202-2019-4-40-45
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