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Purpose: To develop a system of automated protection of employees from Covid-19 and other infections, it is implemented through minimizing the risks of contracting the SARS-CoV-2 virus and other respiratory viral infections within the enterprise. Design/methodology/approach: Analysis of legal normative documents and scientific and technical literature – to update the scientific problem and formulate the research tasks; methods of system analysis - to build the overall structure of the system and to establish relationships between its elements; simulation methods - to develop the algorithms of functioning and interaction of sensors and actuators of the corresponding subsystems; methods of decision theory and data mining - to develop the training programs and testing the knowledge of employees on epidemic safety. Findings: The system of automated protection of employees from Covid-19 and other infections was developed, which, due to the connection of functionally independent elements according to a certain scheme, allows minimizing the risk of contracting the SARS-CoV-2 virus and other respiratory viral infections of employees at the enterprise and increasing their protection from the occurrence of the corresponding infections by implementing a complex of anti-epidemic measures within the system and providing and constant support of the quarantine regime at the enterprise in accordance with WHO recommendations. The developed system was implemented and pilot tested at the industrial enterprise "Odessa Experimental Plant" (Odessa, Ukraine). Based on the results of the development of the system, an application was filed for obtaining a patent for invention No. a 202105894 dated 20.10.2021. Research limitations/implications: The number of system elements can change (increase/decrease) depending on the number of workplaces, as well as areas requiring control. Practical implications: The implementation of the proposed system allows increasing the level of economic sustainability of the enterprise in a complex epidemiological situation of the state or world level by minimizing the risks of enterprise shutdown as a result of the need to limit social and labour connections between employees due to implementation a full range of antiepidemic measures (in accordance with WHO recommendations) at the enterprise and constant compliance with the established quarantine regime by the employees at enterprise. Originality/value: For the first time, the system of automated protection of employees from Covid-19 and other infections was developed and proposed for use at enterprises, institutions and organizations, which, unlike others, allows the implementation of a full range of appropriate anti-epidemic measures at the enterprise (according to WHO recommendations) and ensure compliance with the established quarantine regime by the employees, due to the constant management of the sanitary-epidemic control modes of admission to the enterprise, disinfection of surfaces, ventilation and air decontamination of industrial premises etc.
Wydawca
Rocznik
Tom
Strony
70--85
Opis fizyczny
Bibliogr. 37 poz., rys.
Twórcy
autor
- Department of Systems Management Life Safety, Odessa Polytechnic National University, Shevchenko ave., 1, Odessa, 65044, Ukraine
autor
- Department of Systems Management Life Safety, Odessa Polytechnic National University, Shevchenko ave., 1, Odessa, 65044, Ukraine
Bibliografia
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- [22] Tracking and managing system for prevention of infectious diseases, Patent No KR 20170053145A, application 07.11.16., publ. 15.05.17. Access in: 21.12.2021, Available from: https://worldwide.espacenet.com/patent/search/family/058739843/publication/KR20170053145A?q=pn%3DKR20170053145A
- [23] Corporate telemedicine complex for the prevention of epidemic emergencies, Patent No 2735400C1 of the Russian Federation, application 11.08.20., publ. 30.10.20., Bull. 31 (in Russian). Access in: 21.12.2021, Available from: https://findpatent.ru/patent/273/2735400.html
- [24] Z. Li, G. Li, J. He, D. Cao, J. Tian, The Smart Safeguard System for COVID-19 to prevent cluster-infection in workplaces, Journal of Infection and Public Health 14/8 (2021) 1042-1044. DOI: https://doi.org/10.1016/j.jiph.2021.06.008
- [25] Sanitary control system, Patent No 2752268C2 of the Russian Federation, application 30.10.19., publ. 26.07.21., Bull. 21 (in Russian). Access in: 21.12.2021, Available from: https://patenton.ru/patent/RU2752268C2
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- [27] Q. Kong, L. Yan, Prevention and Control Strategies for Coronavirus Disease-2019 in a Tertiary Hospital in the Middle East of China, Risk Management and Healthcare Policy 13 (2020) 1563-1569. DOI: https://doi.org/10.2147/RMHP.S265008
- [28] W.T. Ng, COVID-19: Protection of Workers at the Workplace in Singapore, Safety and Health at Work 12/1 (2021) 133-135. DOI: https://doi.org/10.1016/j.shaw.2020.09.013
- [29] A.P. Bochkovskуi, Improvement of risk management principles in occupational health and safety, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 4 (2020) 94-104. DOI: https://doi.org/10.33271/nvngu/2020-4/094
- [30] A.P. Bochkovskyi, N.Yu. Sapozhnikova, Minimization of the “human factor” influence in Occupational Health and Safety, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 6 (2019) 95-106. DOI: https://doi.org/10.29202/nvngu/2019-6/14
- [31] Public Health Center of the Ministry of Health of Ukraine, Recommendations for the use of ultraviolet irradiation for disinfection, 25 June 2020 (in Ukrainian). Access in: 21.12.2021, Available from: https://phc.org.ua/news/rekomendacii-schodo-vikoristannya-ultrafioletovogo-oprominennya-uf-dlya-dezinfekcii
- [32] World Health Organization, Guidelines on tuberculosis infection prevention and control: 2019 update, Policy brief. Access in: 21.12.2021, Available from: https://www.who.int/publications/i/item/9789241550512
- [33] A.P. Bochkovskyi, Elaboration of occupational risks evaluation models considering the dynamics of impact of harmful factors, Journal of Achievements in Materials and Manufacturing Engineering 102/2 (2020) 76-85. DOI: https://doi.org/10.5604/01.3001.0014.6777
- [34] A.P. Bochkovskyi, Elaboration of stochastic models to comprehensive evaluation of occupational risks in complex dynamic systems, Journal of Achievements in Materials and Manufacturing Engineering 104/1 (2021) 31-41. DOI: https://doi.org/10.5604/01.3001.0014.8484
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Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fcafdb8e-c97b-44f3-a74f-3c10418ac1fc