Risk of COVID-19 Transmission Aboard Aircraft: An Epidemiological Analysis Based on the National Health Information Platform.

Guo, Qiangqiang; Wang, Jianjian; Estill, Janne; Lan, Hui; Zhang, Juanjuan; Wu, Shouyuan; Yao, Jingwen; Yan, Xuanchen; Chen, Yaolong (2022). Risk of COVID-19 Transmission Aboard Aircraft: An Epidemiological Analysis Based on the National Health Information Platform. International journal of infectious diseases, 118, pp. 270-276. Elsevier 10.1016/j.ijid.2022.03.024

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OBJECTIVES

This study aims to investigate the risk of COVID-19 transmission on aircraft.

METHODS

We obtained data on all international flights to Lanzhou, China, from June 1 to August 1, 2020, through the Gansu Province National Health Information Platform and the official website of the Gansu Provincial Center for Disease Control and Prevention. Statistical analysis was then performed.

RESULTS

Three international flights arrived in Lanzhou. The flights had a total of 700 passengers, of whom 405 (57.9%) were male and 80 (11.4%) were children below age fourteen. Twenty-seven (3.9%) passengers were confirmed to have COVID-19. Confirmed patients were primarily male (17, 65.4%) with a median age of 27.0 years. The majority of confirmed cases were seated in the middle rows of the economy class, or near public facility areas such as restrooms and galleys. The prevalence of COVID-19 did not differ between passengers sitting on window, aisle or middle seats. Compared with passengers sitting on the same row up to two rows behind a confirmed case, passengers seated in the two rows ahead a confirmed case were at a slightly higher risk of being infected.

CONCLUSIONS

COVID-19 may be transmitted during a passenger flight, although there is still no direct evidence.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science

UniBE Contributor:

Estill, Janne Anton Markus

Subjects:

300 Social sciences, sociology & anthropology > 360 Social problems & social services
500 Science > 510 Mathematics

ISSN:

1201-9712

Publisher:

Elsevier

Language:

English

Submitter:

Pubmed Import

Date Deposited:

28 Mar 2022 08:53

Last Modified:

05 Dec 2022 16:17

Publisher DOI:

10.1016/j.ijid.2022.03.024

PubMed ID:

35331931

Uncontrolled Keywords:

Aircraft Coronavirus Disease 2019 (COVID-19) National Health Information Platform Transmission

BORIS DOI:

10.48350/168136

URI:

https://boris.unibe.ch/id/eprint/168136

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