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Study on the estimation of SARS-CoV-2 virus pathogens’ transmission probabilities for different public bus transport service scenarios

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The worldwide COVID-19 pandemic revealed societal challenges, with passenger transport rapidly experiencing the impacts of the virus and the evolution of the concept of safety in transport. Evaluating the likelihood of viral transmission within transportation systems may be a substantial challenge, considering the complex processes that influence the incidence of random transmission events. This paper introduces a method for determining the probability of pathogen transmission in public transport, focusing on the SARS-CoV-2 virus. The study draws on scenarios from the first and second waves of the COVID-19 pandemic in Poland, a period that was devastatingly marked by the lack of available vaccines. This study aims to add value to the scientific community by offering an estimation of the likelihood of SARS-CoV-2 transmission in public transport and a preliminary risk assessment for COVID-19 infection, considering the number of active, non-isolated COVID-19 cases in the Polish population. The potential of this approach was demonstrated through a comparison between two different categories of passenger transport in a city bus. Based on the presented case study and the calculated probability of pathogen transmission, it is estimated that the probability of SARS-CoV-2 infection during the second wave of the COVID-19 pandemic in Poland through the use of public transport was approximately 0.05%. Probability estimations based on elementary events, which can vary depending on the service category (for instance, the form of ticket purchase, availability of seating or standing places, or ticket inspection), can reveal even the smallest differences in the total likelihood of pathogen transmission. However, these minute individual variations significantly impact the total metrics calculated for daily users of public transport. For effective monitoring of potential epidemic threats and for designing suitable interventions and restrictions to lower the risk of future pandemics, it may be necessary to understand the role that transportation systems, particularly public transport systems, play in the spread of pathogens.
Czasopismo
Rocznik
Strony
199--211
Opis fizyczny
Bibliogr. 36 poz.
Twórcy
  • Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasińskiego 8, 40-019 Katowice, Poland
  • Université Catholique de Louvain, Institute of Health and Society; Clos Chapelle-aux-champs 30, 1200 Woluwe-Saint-Lambert, Brussels, Belgium
Bibliografia
  • 1. Martinez, L. & Short, J.R. The pandemic city: urban issues in the time of COVID-19. Sustainability. 2021. Vol. 13. No. 3295. DOI: 10.3390/su13063295.
  • 2. Burdzik, R. Epidemic Risk Analysis and Assessment in Transport Services. Boca Raton: Taylor & Francis Group, CRC Press. 2021. 180 p.
  • 3. Lasisi, N.O. Effect of public awareness, behaviours and treatment on infection-age-structured of mathematical model for HIV/AIDS dynamics. Mathematical Models in Engineering. 2020. Vol. 6. No. 2. P. 103-112. DOI: 10.21595/mme.2020.21249.
  • 4. Molenberghs, G. & Buyse, M. & Abrams, S. & Hens, N. & Beutels, P. & Faes, C. & Hulstaert, F. Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country. Contemporary Clinical Trials. 2020. Vol. 99. No. 106189.
  • 5. Tirachini, A. & Cats, O. COVID-19 and public transportation: Current assessment, prospects, and research needs. Journal of Public Transportation. 2020. Vol. 22. No. 1. P. 1-21.
  • 6. Murano, Y. & Ueno, R. & Shi, S. & Kawashima, T. & Tanoue, Y. & Tanaka, S. & Yoneoka, D. Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach. Scientific reports. 2021. Vol. 11. No. 1. P. 1-9.
  • 7. Peng, Zhe, et al. Practical indicators for risk of airborne transmission in shared indoor environments and their application to COVID-19 outbreaks. Environmental science & technology. 2022. Vol. 56. No. 2. P. 1125-1137.
  • 8. Devleesschauwer, B. & Pires, S. & Kowalcyk, B. & Scharff, R. & Havelaar, A. & Speybroeck N. Risk Metrics: Quantifying the Impact of Adverse Health Effects. Boca Raton: Taylor & Francis Group. CRC Press. 545 p.
  • 9. Staniuk, W. & Staniuk, M. & Chamier-Gliszczynski, N. & Jacyna, M. & Kłodawski, M. Decision- making under the risk. Uncertainty and COVID-19 pandemic conditions applying the PL9A method of logistics planning - case study. Energies. 2022. Vol. 15. No. 639. DOI: 10.3390/en15020639.
  • 10. Park, J. & Kim, G. Risk of COVID-19 infection in public transportation: The development of a model. International journal of environmental research and public health. 2021. Vol. 18. No. 23. Paper No. 12790.
  • 11. Cori, L. & Bianchi, F. & Cadum, E. & Anthonj, C. Risk perception and COVID-19. Int. J. Environ. Res. Public Health. 2020. Vol. 17. No. 9. Paper No. 3114. DOI: 10.3390/ijerph17093114.
  • 12. Zafri, N.M. & Khan, A. & Jamal, S. & Alam, B.M. Risk perceptions of COVID-19 transmission in different travel modes. Transportation Research Interdisciplinary Perspectives. 2022. Vol. 13. No. 100548. DOI: 10.1016/j.trip.2022.100548.
  • 13. De Vos, J. The effect of COVID-19 and subsequent social distancing on travel behavior. Transport. Research Interdisciplinary Perspectives. 2020. Vol. 5. No. 100121.
  • 14. ECDC. Transmission of COVID-19. 2020. Available at: https://www.ecdc.europa.eu/en/covid- 19/latest-evidence/transmission.
  • 15. Jasiński, A. COVID-19 pandemic is challenging some dogmas of modern urbanism. Cities. 2022. Vol. 121. No. 103498.
  • 16. Barbarossa, L. The post pandemic city: Challenges and opportunities for non-motorized urban environment. An overview of Italian cases. Sustainability. 2020. Vol. 12. No. 7172. DOI: 10.3390/su12177172.
  • 17. Aydin, N. & Kuşakcı, A.O. & Deveci, M. The impacts of COVID-19 on travel behavior and initial perception of public transport measures in Istanbul. Decision Analytics Journal. 2022. Vol. 2. No. 100029.
  • 18. Chen, Y. & Wang, Y. & Wang, H. & Hu, Z. & Hua, L. Controlling urban traffic-one of the useful methods to ensure safety in Wuhan based on COVID-19 outbreak. Saf Sci. 2020. Vol. 131. No. 104938. DOI: 10.1016/J.SSCI.2020.104938.
  • 19. Sangiorgio, V. & Parisi, F. A multicriteria approach for risk assessment of Covid-19 in urban district lockdown. Saf Sci. 2020. Vol. 130. P. 104862. DOI: 10.1016/J.SSCI.2020.104862.
  • 20. Ong, S.W.X. & Tan, Y.K. & Chia, P.Y. & Lee, T.H. & Ng, O.T. & Wong, M.S.Y. & Marimuthu, K. Air, surface environmental, and personal protective equipment contamination by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) from a Symptomatic Patient. JAMA - Journal of the American Medical Association. 2020. Vol. 323. P. 1610-1612. DOI: 10.1001/jama.2020.3227.
  • 21. Burdzik, R. An application of the DHI methodology for a comparison of SARS-CoV-2 epidemic hazards in customer delivery services of smart cities. Smart Cities. 2023. Vol. 6. No. 2. P. 965-986. DOI: 10.3390/smartcities6020047.
  • 22. Dávid, A. & Galieriková, A. & Mako, P. Application of anti-epidemiological measures and covid- automat in public water transport. Transport Problems. 2022. Vol. 17. No. 2. P. 189-197.
  • 23. Kurek, A. & Macioszek, E. Daily variability of the use of parking spaces in the paid parking zone covered by dynamic parking information before and during the COVID-19 pandemic. Scientific Journal of Silesian University of Technology. Series Transport. 2022. Vol. 114. P. 55-65. DOI: 10.20858/sjsutst.2022.114.5.
  • 24. Katona, P. & Kullar, R. & Zhang, K. Bringing transmission of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) to the surface: is there a role for fomites? Clinical Infectious Diseases. 2022. Vol. 75. No. 5. P. 910-916. DOI: 10.1093/cid/ciac157.
  • 25. Aboubakr, H.A. & Sharafeldin, T.A. & Goyal, S.M. Stability of SARS-CoV-2 and other coronaviruses in the environment and on common touch surfaces and the influence of climatic conditions: a review. Transbound Emerg Dis. 2021. Vol. 68. P. 296-312.
  • 26. CDC. Coronavirus Disease 2019 (COVID-19). 2020. Available at: https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html.
  • 27. Rodriguez-Nava, G. & Diekema, D. & Salinas, J. Reconsidering the routine use of contact precautions in preventing the transmission of severe acute respiratory coronavirus virus 2 (SARS- CoV-2) in healthcare settings. Infection Control & Hospital Epidemiology. 2023. Vols. 1-2. DOI: 10.1017/ice.2023.91.
  • 28. Science brief: SARS-CoV-2 and surface (fomite) transmission for indoor community environments. Centers for Disease Control and Prevention website. Available at: https://www.cdc.gov/coronavirus/2019-ncov/more/science-and-research/surface-transmission.html. Published 2021.
  • 29. Baka, A. & Brusin, S. & Cenciarelli, O. & Plachouras, D. & Severi, E. & Suetens, C. Considerations for infection, prevention and control measures on public transport in the context of COVID-19. Stockholm: European Centre for Disease Prevention and Control (ECDC). 2020.
  • 30. Li, J. & Goerlandt, F. & Reniers, G. An overview of scientometric mapping for the safety science community: Methods, tools, and framework. Safety Science. 2021. Vol. 134. No. 105093.
  • 31. Gogolewski, K. & Miasojedow, B. & Sadkowska-Todys, M. & Stepień, M. & Demkow, U. & Lech, A. & Szczurek, E. & Rabczenko, D. & Rosińska, M. & Gambin, A. Data-driven case fatality rate estimation for the primary lineage of SARS-CoV-2 in Poland. Methods. 2022. Vol. 203. P. 584-593. DOI: 10.1016/J.YMETH.2022.01.006.
  • 32. Di Carlo, P. & Chiacchiaretta, P. & Sinjari, B. & Aruffo, E. & Stuppia, L. & De Laurenzi, V. & et al. Air and surface measurements of SARS-CoV-2 inside a bus during normal operation. PLoS ONE. 2020. Vol. 15. No. 11. P. e0235943. DOI: 10.1371/journal.pone.0235943.
  • 33. Ramajo, D.E. & Corzo, S. Airborne transmission risk in urban buses: a computational fluid dynamics study. Aerosol Air Qual. Res. 2022. Vol. 22. No. 210334. DOI: 10.4209/aaqr.210334.
  • 34. Moreno, T. & Pintó, R.M. & Bosch, A. & Moreno, N. & Alastuey, A. & Minguillón, M.C. & Querol, X. Tracing surface and airborne SARS-CoV-2 RNA inside public buses and subway trains. Environment International. 2021. Vol. P. 147. DOI: 10.1016/j.envint.2020.106326.
  • 35. Bertone, M. & Mikszewski, A. & Stabile, L. & Riccio, G. & Cortellessa, G. & d’Ambrosio, F. R. & Buonanno, G. Assessment of SARS-CoV-2 airborne infection transmission risk in public buses. Geoscience Frontiers. 2022. Vol. 13. No. 6. Paper No. 101398. DOI: 10.1016/j.gsf.2022.101398.
  • 36. Graba, M. & Bieniek, A. & Prażnowski, K. & Hennek, K. & Mamala, J. & Burdzik, R. & Śmieja, M. Analysis of energy efficiency and dynamics during car acceleration. Eksploatacja i Niezawodność - Maintenance and Reliability. 2023. Vol. 25. No. 1. DOI: 10.17531/ein.2023.1.17.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c1176b90-96ee-4e12-88a9-93781e893cd9
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