Evidence map›Paper›PMID 35331931›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

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

Qiangqiang Guo, Jianjian Wang, Janne Estill, Hui Lan, Juanjuan Zhang, Shouyuan Wu, Jingwen Yao, Xuanchen Yan, Yaolong Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Qiangqiang GuoSchool of Public Health, Lanzhou University, Lanzhou, China; Lanzhou University Institute of Health Data Science, Lanzhou, China; Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou, China; World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China.
Jianjian WangSchool of Public Health, Lanzhou University, Lanzhou, China; Lanzhou University Institute of Health Data Science, Lanzhou, China; Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou, China; World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China.
Janne EstillInstitute of Global Health, University of Geneva, Geneva, Switzerland; Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland.
Hui LanSchool of Public Health, Lanzhou University, Lanzhou, China; Lanzhou University Institute of Health Data Science, Lanzhou, China; Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou, China; World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China.
Juanjuan ZhangSchool of Public Health, Lanzhou University, Lanzhou, China; Lanzhou University Institute of Health Data Science, Lanzhou, China; Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou, China; World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China.
Shouyuan WuSchool of Public Health, Lanzhou University, Lanzhou, China; Lanzhou University Institute of Health Data Science, Lanzhou, China; Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou, China; World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China.
Jingwen YaoHealth Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China.
Xuanchen YanHealth Statistics Information Center of Health Commission of Gansu Province, Lanzhou, China. Electronic address: 170734394@qq.com.
Yaolong ChenSchool of Public Health, Lanzhou University, Lanzhou, China; Lanzhou University Institute of Health Data Science, Lanzhou, China; Lanzhou University, an Affiliate of the Cochrane China Network, Lanzhou, China; World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China. Electronic address: chevidence@lzu.edu.cn.
Lanzhou University of Technology · CNHealth Commission of Anhui Province · CNUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsWe obtained data on all international flights to Lanzhou, China, from June 1, 2020, 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. We then performed the statistical analysis.

resultsThree 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 under the age of 14 years. 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. Most confirmed cases were seated in the middle rows of economy class or near public facility areas such as restrooms and galleys. The prevalence of COVID-19 did not differ between passengers sitting in the window, aisle, or middle seats. However, compared with passengers sitting in the same row up to 2 rows behind a confirmed case, passengers seated in the 2 rows in front of a confirmed case were at a slightly higher risk of being infected.

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

Indexed as

COVID-19AdolescentAdultAircraftChildChinaFemaleHumansMaleResearch DesignAircraftCoronavirus Disease 2019 (COVID-19)National Health Information PlatformTransmission

Identifiers

PMID35331931
PMCPMC8935959
OpenAlexW4220805333

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.