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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (19 ; 08-11.09.2024 ; Belgrade, Serbia)
Języki publikacji
Abstrakty
The correct organization of medical assistance after the occurrence of a major disaster is very important for saving the lives of the victims. Earthquakes are natural phenomena/disasters in which there are many victims. The timely provision of medical assistance to the injured is an important element of their service. It is good to divide them into types of injuries and severity of injuries. Thus, the medical teams will be prepared for how many people need outpatient treatment and how many need hospital treatment. Rapid distribution of victims to hospitals according to their injuries can reduce the number of deaths and people with serious consequences. In this article, we present a breakdown of the injured by hospitals and medical facilities near the earthquake site. The type of injuries and the capacity and equipment of hospital facilities are taken into account.
Rocznik
Tom
Strony
597--601
Opis fizyczny
Bibliogr. 28 poz., il.
Twórcy
autor
- Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria
autor
- Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria
autor
- Faculty of Medicine, Trakia University, Stara Zagora, Bulgaria
autor
- System Research Institute, Polish Academy of Sciences, Warsaw, Poland
Bibliografia
- 1. Liguori N., Tarque N., Bambaren C., Spacone E., Viveen W., de Filippo G., Hospital treatment capacity in case of seismic scenario in the Lima Metropolitan area, Peru, Int. J. Disaster Risk Reduc. Vol. 38 Elsevier, 2019, 101196.
- 2. Toner E., Schoch-Spana M., Waldhorn R., Shearer M., Inglesby T., A Framework for Healthcare Disaster Resilience: A View to the Future, 2018, http://www.centerforhealthsecurity.org/our-work/publications/a-framework-for-healthcare-disaster-resilience-a-view-to-the-future.
- 3. Fidanova, S., Atanassov, K., Kirilov, L., Slavova V., Ivanov, V.: Generalized Net Model for the Consequences of Earthquake. Lecture Notes in Networks and Systems, 658, 281-292 ISBN:978-3-031-31068-3, ISSN:2367-3370, 2023
- 4. Hick J.L., Barbera J.A., Kelen G.D., Refining surge capacity: conventional, contingency, and crisis capacity, Disaster Med. Public Health Prep. Vol. 3, 2009, S59–S67.
- 5. Peleg K., Bodas M., Hertelendy A.J., Kirsch T.D., The COVID-19 pandemic challenge to the All-Hazards Approach for disaster planning, Int. J. Disaster Risk Reduc. Vol. 55, 2021, 102103.
- 6. Lim H.W., Li Z., Fang D., Impact of management, leadership, and group integration on the hospital response readiness for earthquakes, Int. J. Disaster Risk Reduc. Vol. 48, 2020, 101586.
- 7. World Health Organization, Surge Planning Tools (n.d.), https://www.euro.who.int/en/health-topics/Health-systems/pages/strengthening-the-health-system-response-to-covid-19/surge-planning-tools.
- 8. Gazzetta Ufficiale della Repubblica Italiana, D.lg.s 9 aprile, Testo Unico Sulla Salute e Sulla Sicurezza sul Lavoro, 2008. Italy, 2008, https://www.lavoro.gov.it/documenti-e-norme/studi-e-statistiche/Documents/Testo Unico sulla Salute e Sicurezza sul Lavoro/Testo-Unico-81-08-Edizione-Giugno 2016.pdf.
- 9. Farra S.L., Gneuhs M., Hodgson E., Kawosa B., Miller E.T., Simon A., Timm N., Hausfeld J., Comparative cost of virtual reality training and live exercises for training hospital workers for evacuation, Comput. Inf. Nurs. 37, 2019, 446–454.
- 10. Verheul M.L., D uckers M.L.A., Visser B.B., Beerens R.J., Bierens J.J., Disaster exercises to prepare hospitals for mass-casualty incidents: does it contribute to preparedness or is it ritualism?, Disaster Med 33, 2018 387–393.
- 11. Rohleder T.R., P. Lewkonia P., D.P. Bischak, P. Duffy, R. Hendijani, Using simulation modeling to improve patient flow at an outpatient orthopedic clinic, Health Care Manag. Sci. 14 (2011) 135–145, https://doi.org/10.1007/s10729-010-9145-4.
- 12. TariVerdi M., Miller-Hooks E., Kirsch T., Strategies for improved hospital response to mass casualty incidents, Disaster Med. Public Health Prep. 12, 2018, 778–790.
- 13. Laskowski M., Demianyk B.C.P., Witt J., Mukhi S.N., Friesen M.R., McLeod R.D., Agent-based modeling of the spread of influenza-like illness in an emergency department: a simulation study, IEEE Trans. Inf. Technol. Biomed. a Publ. IEEE Eng. Med. Biol. Soc. 15, 2011 877–889.
- 14. Abir M., Davis M.M., Sankar P., Wong A.C., Wang S.C., Design of a model to predict surge capacity bottlenecks for burn mass casualties at a large academic medical center, Prehospital Disaster Med. 28, 2013, 23–32.
- 15. Hirshberg A., Scott B.G., Granchi T., Wall M.J.J., Mattox K.L., Stein M., How does casualty load affect trauma care in urban bombing incidents? A quantitative analysis, J. Trauma Acute Care Surg. 58 2005.
- 16. Clark, K. R.: Imaging Earthquake-related Injuries. Radiol. Technol. 2018 Mar. 89(4), 351-367. (2018) PMID: 29691346.
- 17. Farooqui, M., Quadri, S.A., Suriya, S., Khan, M. A., Ovais, M., Sohail, Z., Shoaib, S., Tohid, H., Hassan, M.: Posttraumatic stress disorder: a serious post-earthquake complication. Trends Psychiatry Psychother. 2017 Apr-Jun. 39(2), 135-143 (2017) http://dx.doi.org/10.1590/2237-6089-2016-0029. PMID: 28700042.
- 18. Todorova, D., Mihaylova, Tsv., Etova, R.: Social psychological support for disasters. Health Policy and Management. vol. 20, Extraordinary issue. 169-172. ISSN 1313-4981 (2020)
- 19. Etova, R.: Disasters and stress. Scientific works of the Union of Scientists in Bulgaria Plovdiv. series G. Medicine, Pharmacy and Dental medicine. vol. 26, 190-193. ISSN 1311- 9427 (Print), ISSN 2534-9392 (On-line) (2021)
- 20. Tirkolaee, E. B., Aydın, N. S., Ranjbar-Bourani, M., Weber, G.-W.: A robust bi-objective mathematical model for disaster rescue units allocation and scheduling with learning effect. Computers & Industrial Engineering. 2020. https://doi.org/10.1016/j.cie.2020.106790
- 21. Fiedrich, F., Gehbauer, F., Rickers, U.: Optimized resource allocation for emergency response after earthquake disasters. Safety Science 35 (2000) 41-57.
- 22. Najafi, M., Eshghi, K., Dullaert, W.: A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E 49 (2013) 217–249. http://dx.doi.org/10.1016/j.tre.2012.09.001
- 23. Yenice, Z. D., Samanlioglu, F.: A Multi-Objective Stochastic Model for an Earthquake Relief Network. Journal of Advanced Transportation. vol. 2020, Article ID 1910632 (2020). https://doi.org/10.1155/2020/1910632
- 24. Dawei, L., Yingying, X., Li, W.: Vehicle Scheduling of the Emergency Medicines in the Early Period After Earthquake Disaster. The Open Cybernetics & Systemics Journal. 9, 1329-1333 (2015).
- 25. Paul, J.A., George, S.K., Yi, P., Lin, L.: Transient modeling in simulation of hospital operations for emergency response. Prehospital and Disaster Medicine 2006, 21(4), 223–236 (2006).
- 26. de Boer, J., Debacker, M.: (2006) Quantifying medical disaster management. International Journal of Disaster Medicine. 000: 1–5. (2006). http://dx.doi.org/10.1080/15031430600975569
- 27. Sun, H., Liu, J., Han, Z., Jiang, J.: Stochastic Petri Net Based Modeling of Emergency Medical Rescue Processes During Earthquakes. J. Syst. Sci. Complex. 34, 1063–1086 (2021). http://dx.doi.org/10.1007/s11424-020-9139-3
- 28. Ghasemi, P., Khalili-Damghani, K., Hafezalkotob, A., Raissi, S.: Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake). Socio-Economic Planning Sciences. 71 (2020) 100745. https://doi.org/10.1016/j.seps.2019.100745
Uwagi
1. The work is supported by National Scientific Fund of Bulgaria under the grant DFNI KP-06-N52/5 and by the Polish-Bulgarian collaborative grant “Practical aspects for scientific computing”.
2. Thematic Sessions: Short Papers
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-51ae6f35-d98c-4166-bad5-1466457db8eb
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