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Modeling the infection risk in vehicles of local public transport for aerosol transmitted viruses

Lea Fouckhardt et al.

Journal of Transport and Health2026https://doi.org/10.1016/j.jth.2026.102285article
ABDC B
Weight
0.50

What the paper says

As a first step to creating a resilient local public transportation system, the infection risk in the vehicle must be identified. Subsequently, measures to reduce the infection risk can be undertaken and communicated. This paper presents a model to identify the infection risk on local public transportation through both contact and infection probability. A simulation of the air movements inside two example vehicles under differing environmental conditions enabled the infection probability to be estimated. However, the contact probability links the infection probability to the current spread of a disease. The model includes trip parameters (the number of contacts and contact time), virus parameters (aerosol particle size, virus titer, minimal dose of infection), and epidemiologic parameters (incidence and estimated number of unreported cases), as well as environmental parameters (speaking behavior, mask wearing). The model enables the average infection risk for a certain time and area to be calculated, and also special cases of transmission in local public transportation vehicles to be investigated. It provides the present infection risk for a person using local public transportation and can be used as an objective tool for comparing the impact of measures meant to reduce infection risk (e.g. masks) by transit associations as well as policy makers. This in turn could benefit the health and wellbeing of all local public transport passengers. • Infection risk via aerosol transmission in vehicles of local public transport • Infection probability and contact probability in local public transport • Modeling the effect of measures reducing infection risk

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https://doi.org/https://doi.org/10.1016/j.jth.2026.102285

Or copy a formatted citation

@article{lea2026,
  title        = {{Modeling the infection risk in vehicles of local public transport for aerosol transmitted viruses}},
  author       = {Lea Fouckhardt et al.},
  journal      = {Journal of Transport and Health},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jth.2026.102285},
}

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Modeling the infection risk in vehicles of local public transport for aerosol transmitted viruses

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.