We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

COVID-19 Transmission on Trains Investigated

COVID-19 Transmission on Trains Investigated content piece image
Credit: Pixabay.
Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 2 minutes

A study by scientists from the University of Southampton has examined the chances of catching COVID-19 in a train carriage carrying an infectious person.

Based on high-speed routes in China, researchers from WorldPop found that for train passengers sitting within three rows (widthwise) and five columns (lengthwise) of an infected person (index patient) between zero and ten percent (10.3) caught the disease. The average rate of transmission for these ‘close contact’ travellers was 0.32 percent.


The study, in collaboration with the Chinese Academy of Sciences, China Academy of Electronics and Information Technology, and Chinese Centre for Disease Control and Prevention, also showed that passengers travelling in seats directly adjacent to an index patient suffered the highest level of transmission, with an average of 3.5 percent contracting the disease. For those sitting on the same row, the figure was 1.5 percent.


The ‘attack rate’ for each seat – the number of passengers in a given seat diagnosed with COVID-19, divided by the total number of passengers travelling in the same seat – increased by 0.15 percent for every hour that a person travelled with an index patient. For those in adjacent seats, this rate of increase was higher at 1.3 percent per hour.


Interestingly, the researchers found that only 0.075 percent of people who used a seat previously occupied by an index patient went on to contract the disease.


Details are published in the journal Clinical Infectious Diseases.


The WorldPop team, experts in population mapping, used sophisticated modelling to analyse anonymised itinerary and infection data relating to train passengers on China’s high-speed G train network. This included those who had COVID-19 at the time of travel and their close contacts (who showed symptoms within 14 days of travel). The data, covering a period between 19 December 2019 and 6 March 2020, included 2,334 index patients and 72,093 close contacts. Their travel times ranged from between less than an hour to eight hours.


Lead investigator, Dr Shengjie Lai, comments: “Our study shows that although there is an increased risk of COVID-19 transmission on trains, a person’s seat location and travel time in relation to an infectious person can make a big difference as to whether it is passed on. The findings suggest that during the COVID-19 epidemic it is important to reduce the density of passengers and promote personal hygiene measures, the use of face coverings and possibly carry-out temperature checks before boarding.”


The researchers conclude that given the attack rates estimated for passengers in the same row as an index patient, a safe social distance of more than one metre is required for one hour spent travelling together. After two hours of contact, they consider a distance of less than 2.5 metres may be insufficient to prevent transmission.


Director of WorldPop, Professor Andy Tatem adds: “Our research is the first to quantify the individual risk of COVID-19 transmission on public transport based on data from epidemiological investigations of disease cases and their close contacts on high-speed trains.


“It shows that the transmission risk not only relates to the distance from an infected person, but also the time in their presence. We hope it can help to inform authorities globally about measures needed to guard against the virus and in-turn help to reduce its spread.”

Reference
Maogui Hu, Hui Lin, Jinfeng Wang, Chengdong Xu, Andrew J Tatem, Bin Meng, Xin Zhang, Yifeng Liu, Pengda Wang, Guizhen Wu. The risk of COVID-19 transmission in train passengers: an epidemiological and modelling study. Clinical Infectious Diseases, ciaa1057, https://doi.org/10.1093/cid/ciaa1057

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.