Probability of transmission of SARS-CoV-2 virus pathogens in long-distance passenger transport

Q2 Engineering Archives of Transport Pub Date : 2023-11-24 DOI:10.61089/aot2023.5k2g5t42
R. Burdzik
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Abstract

This paper presents a description of the methodology developed for estimation of pathogen transmission in transport and the results of the case study application for long-distance passenger transport. The primary objective is to report the method developed and the application for case studies in various passenger transport services. The most important findings and achievements of the presented study are the original universal methodology to estimate the probability of pathogen transmission with full mathematical disclosure and an open process formula, to make it possible to take other specific mechanisms of virus transmission when providing transport services. The results presented conducted an analysis on the mechanisms of transmission of SARS-CoV-2 virus pathogens during the transport process, to examine the chain of events as a result of which passengers may be infected. The author proposed a new method to estimate the probability of transmission of viral pathogens using the probability theory of the sum of elementary events. This is a new approach in this area, the advantage of which is a fully explicit mathematical formula that allows the method to be applied to various cases. The findings of this study can facilitate the management of epidemic risk in passenger transport operators and government administration. It should be clearly emphasised that the developed method and estimated values are the probabilities of pathogen transmission. Estimating the probability of transmission of the SARS-CoV-2 virus pathogen is not the same as the probability of viral infection, and more so the probability of contracting COVID-19. Viral infection strongly depends on viral mechanisms, exposure doses, and contact frequency. The probability of contracting COVID-19 and its complications depends on the individual characteristics of the immune system, even with confirmed viral infection. However, it is undoubtedly that the probability of transmission of the SARS-CoV-2 virus pathogen is the most reliable measure of infection risk, which can be estimated according to the objective determinants of pathogen transmission.
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在长途客运中传播 SARS-CoV-2 病毒病原体的可能性
本文介绍了为估算运输中的病原体传播而开发的方法,以及长途客运案例研究的应用结果。主要目的是报告所开发的方法以及在各种客运服务中的案例研究应用。本研究最重要的发现和成果是采用了独创的通用方法来估算病原体传播的概率,并提供了完整的数学公式和开放的过程公式,以便在提供运输服务时能够考虑到其他特定的病毒传播机制。研究结果对运输过程中 SARS-CoV-2 病毒病原体的传播机制进行了分析,研究了乘客可能受感染的一连串事件。作者提出了一种新方法,利用基本事件总和的概率理论来估算病毒病原体的传播概率。这是该领域的一种新方法,其优点是有一个完全明确的数学公式,可将该方法应用于各种情况。这项研究的结果有助于客运运营商和政府管理部门管理流行病风险。需要明确强调的是,所开发的方法和估计值是病原体传播的概率。估计 SARS-CoV-2 病毒病原体传播的概率与病毒感染的概率不同,更与感染 COVID-19 的概率不同。病毒感染在很大程度上取决于病毒机制、接触剂量和接触频率。感染 COVID-19 及其并发症的概率取决于免疫系统的个体特征,即使已确认病毒感染。然而,毫无疑问,SARS-CoV-2 病毒病原体的传播概率是衡量感染风险的最可靠指标,它可以根据病原体传播的客观决定因素进行估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Transport
Archives of Transport Engineering-Automotive Engineering
CiteScore
2.50
自引率
0.00%
发文量
26
审稿时长
24 weeks
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