PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Preliminary general approach to modelling COVID-19 pandemic sufferer safety impacted by human living conditions

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
15th Summer Safety & Reliability Seminars - SSARS 2021, 5-12 September 2021, Ciechocinek, Poland
Języki publikacji
EN
Abstrakty
EN
The safety and resilience indicators are proposed as crucial tools for analysis, identification, prediction and optimization of COVID-19 pandemic human safety and for minimization and mitigation of pandemic consequences.
Bibliografia
  • Bin, Z., Yichi, L., Bowen, W., Ruiyang, P., Chen, Z., Yonglong, Z., Zhuoxun, L., Xia, J. & Bin Z. 2020. Mathematical modeling and epidemic prediction of COVID-19 and its significance to epidemic prevention and control measures. Annals of Infectious Disease and Epidemiology 5(1), article 1052.
  • Bogalecka, M. 2020.Consequences of Maritime Critical Infrastructure Accidents: Environmental Impacts. Modeling - Identification - Prediction - Optimization - Mitigation. Elsevier, Amsterdam, Oxford, Cambridge.
  • Dąbrowska, E. 2020a. Monte Carlo simulation approach to reliability analysis of complex systems.Journal of KONBiN 50(1), 155-170.
  • Dąbrowska, E. 2020b. Safety analysis of car wheel system impacted by operation process. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 61-76.
  • Dąbrowska, E. & Soszyńska-Budny J. 2018. Monte Carlo simulation forecasting of maritime ferry safety and resilience.2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 376-380.
  • David, A. 2020. The simulations driving the world’s response to COVID-19. Modelling the Pandemic. Nature 580, 316-318.
  • Eid, M. 2020. A Tentative Simulation Scheme of the COVID-19 Propagation to Help in Managing the First Responding Actions, Preprint.
  • Gouldby, B.P., Schultz, M.T., Simm, J.D. & Wibowo, J.L. 2010. Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability, Report in Water Resources Infrastructure Program ERDC SR-10-1, U.S. Army Corps of Engineers, Washington.
  • Grabski, F. 2015. Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Sydney - Tokyo.
  • Habibullah, M.S., Lumanpauw, E., Kołowrocki, K., Soszyńska, J. & Ming, N.G. 2009. A computational tool for general model of industrial systems operation processes. Electronic Journal Risk & Reliability Analysis: Theory & Applications 2(4), 181-191.
  • Klabjan, D. & Adelman, D. 2006. Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. Society for Industrial and Applied Mathematics Control and Optimization 44(6), 2104-2122.
  • Kołowrocki, K. 2014. Reliability of Large and Complex Systems, Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • Kołowrocki, K. & Kuligowska, E. 2018. Operation and climate-weather change impact on maritime ferry safety. Safety and Reliability – Safe Societies in a Changing World, Taylor & Francis Ltd. Proceedings of European Safety and Reliability Conference - ESREL 2018. CRC Press/Balkema, 597-603.
  • Kołowrocki, K., Kuligowska, E. & Soszyńska-Budny, J. 2016. Maritime ferry critical infrastructure assets and interconnections. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(1), 105-110.
  • Kołowrocki, K. & Magryta, B. 2020a. Port oil terminal reliability optimization. Scientific Journals of Maritime University of Szczecin 62(134), 161-167.
  • Kołowrocki, K. & Magryta-Mut, B. 2020b. Safety of maritime ferry technical system impacted by operation process. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 117-134.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2011/2015. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, London - Dordrecht - Heidelberg - New York, English/Chinese Edition.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2017. An overall approach to modeling operation threats and extreme weather hazards impact on critical infrastructure safety. Proceedings of 27th ESREL Conference, Portorož.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2018a. Critical infrastructure impacted by operation safety and resilience indicators. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management(IEEM), Institute of Electrical and Electronics Engineers, Bangkok, 1765-1769.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2018b. Critical infrastructure safety indicators. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management(IEEM), Institute of Electrical and Electronics Engineers, Bangkok, 1761-1764.
  • Korolyuk, V.S., Brodi, S.M. & Turbin, A.F. 1975. Semi-Markov processes and their applications. Journal of Soviet Mathematics 4(3), 244-280.
  • Kuligowska, E. & Torbicki, M. 2018. GMU Safety Interactive Platform organization and possibility of its applications. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 9(2), 99-114.
  • Lauge, A., Hernantes, J. & Sarriegi, J.M. 2015. Critical infrastructure dependencies: A holistic, dynamic and quantitative approach. International Journal of Critical Infrastructure Protection 8, 6-23.
  • Limnios, N. & Oprisan, G. 2001. Semi-Markov Processes and Reliability. Birkhauser, Boston.
  • Macci, C. 2008. Large deviations for empirical estimators of the stationary distribution of a semi-Markov process with finite state space. Communications in Statistics - Theory and Methods 37(9), 3077-3089.
  • Magryta, B. 2020. Reliability approach to resilience of critical infrastructure impacted by operation process. Journal of KONBiN 50(1), 131-153.
  • Magryta-Mut, B. 2020. Safety optimization of maritime ferry technical system. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 175-182.
  • Mercier, S. 2008. Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability 10(2), 179-198.
  • Szymkowiak, M. 2018a. Characterizations of distributions through aging intensity. IEEE Transactions on Reliability 67(2), 446-458.
  • Szymkowiak, M. 2018b. Generalized aging intensity functions. Reliability Engineering and System Safety 178(C), 198-208.
  • Szymkowiak, M. 2019. Lifetime Analysis by Aging Intensity Functions. Monograph in series: Studies in Systems, Decision and Control (196), Springer International Publishing.
  • Torbicki M. & Drabiński B. 2020. An application determining weather impact on critical infrastructure safety and resilience.K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 231-242.
  • World Health Organization Publications on covid-19, 2021. https://www.bing.com/search?q=WHO+publications+on+COVID-19&form=WNSGPH&qs=SW&cvid=40a14a28768948789f205d2d37dd1665&pq=WHO+publications+on+COVID-19&cc=PL&setlang=pl-PL&PC=DCTS&nclid=4AE320A8B07C8F0CB0DCC1B30541AA54&ts=1624098134803&wsso=Moderate (accessed 20 Apr 2021).
  • Wölfel R., Corman V.M., Guggemos W., Seilmaier M., Zange S., Müller M.A., Niemeyer D., Jones T.C., Vollmar P., Rothe C., Hoelscher M., Bleicker T., Brünink S., Schneider J., Ehmann R., Zwirglmaier K., Drosten C. & Wendtner C. 2020. Virological Assessment of Hospitalized Patients with covid-2019. https://www.nature.com/articles/s41586-020-2196-x (accessed 20 April 2021).
  • Xue, J. 1985. On multi-state system analysis. IEEE Transactions on Reliability 34, 329-337.
  • Xue, J & Yang, K. 1995. Dynamic reliability analysis of coherent multi-state systems. IEEE Transactions on Reliability 4(44), 683-688.
Uwagi
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-08f3faac-17d8-40fa-a173-19f3f9a43567
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.