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Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers

The COVID-19 global pandemic has had a significant impact on mass travel. We examined the risk of transmission of COVID-19 infection between subway commuters using the Susceptible Exposed Infected Recovered (SEIR) model. The model considered factors that may influence virus transmission, namely subw...

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Autores principales: Li, Peikun, Chen, Xumei, Ma, Chaoqun, Zhu, Caihua, Lu, Wenbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9153871/
https://www.ncbi.nlm.nih.gov/pubmed/35639325
http://dx.doi.org/10.1007/s11356-022-20920-9
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author Li, Peikun
Chen, Xumei
Ma, Chaoqun
Zhu, Caihua
Lu, Wenbo
author_facet Li, Peikun
Chen, Xumei
Ma, Chaoqun
Zhu, Caihua
Lu, Wenbo
author_sort Li, Peikun
collection PubMed
description The COVID-19 global pandemic has had a significant impact on mass travel. We examined the risk of transmission of COVID-19 infection between subway commuters using the Susceptible Exposed Infected Recovered (SEIR) model. The model considered factors that may influence virus transmission, namely subway disinfection, ventilation capacity, average commuter spacing, single subway journey time, COVID-19 transmission capacity, and dynamic changes in passenger numbers. Based on these parameters, above a certain threshold (25 min), the risk of infection for susceptible people increased significantly as journey time increased. Average distance between commuters and levels of ventilation and disinfection were also important influencing factors. Meanwhile, the model also indicated that the risk of infection varied at different times of the day. Therefore, this paper recommends strengthening ventilation and disinfection in the carriages and limiting the time of single journeys, with an average distance of at least 1 m between passengers. In this light, subway commuters need to take proactive precautions to reduce their risk of COVID-19 infection. Also, the results show the importance of managing subway stations efficiently during epidemic and post-epidemic eras.
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spelling pubmed-91538712022-06-02 Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers Li, Peikun Chen, Xumei Ma, Chaoqun Zhu, Caihua Lu, Wenbo Environ Sci Pollut Res Int Research Article The COVID-19 global pandemic has had a significant impact on mass travel. We examined the risk of transmission of COVID-19 infection between subway commuters using the Susceptible Exposed Infected Recovered (SEIR) model. The model considered factors that may influence virus transmission, namely subway disinfection, ventilation capacity, average commuter spacing, single subway journey time, COVID-19 transmission capacity, and dynamic changes in passenger numbers. Based on these parameters, above a certain threshold (25 min), the risk of infection for susceptible people increased significantly as journey time increased. Average distance between commuters and levels of ventilation and disinfection were also important influencing factors. Meanwhile, the model also indicated that the risk of infection varied at different times of the day. Therefore, this paper recommends strengthening ventilation and disinfection in the carriages and limiting the time of single journeys, with an average distance of at least 1 m between passengers. In this light, subway commuters need to take proactive precautions to reduce their risk of COVID-19 infection. Also, the results show the importance of managing subway stations efficiently during epidemic and post-epidemic eras. Springer Berlin Heidelberg 2022-05-31 2022 /pmc/articles/PMC9153871/ /pubmed/35639325 http://dx.doi.org/10.1007/s11356-022-20920-9 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Li, Peikun
Chen, Xumei
Ma, Chaoqun
Zhu, Caihua
Lu, Wenbo
Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers
title Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers
title_full Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers
title_fullStr Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers
title_full_unstemmed Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers
title_short Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers
title_sort risk assessment of covid-19 infection for subway commuters integrating dynamic changes in passenger numbers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9153871/
https://www.ncbi.nlm.nih.gov/pubmed/35639325
http://dx.doi.org/10.1007/s11356-022-20920-9
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