Evidence map›Paper›PMID 37350245›Full record

SynthesisEpidemiology and infection2023

Comparative analysis of inflight transmission of SARS-CoV-2, influenza, and SARS-CoV-1.

Yingjie Luo, Yuguo Li, Shenglan Xiao, Hao Lei

Abstract readMeta-Analysis
In one paragraph

Synthesis in Epidemiology and infection, 2023. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Methodology of Epidemic Risk Analysis in the Naval Military.International journal of environmental research and public health · 2025
    Review
  4. Article
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

4 authors.

Yingjie LuoSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, P. R. China.ORCID 0009-0001-2375-3916
Yuguo LiDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, P. R. China.
Shenglan XiaoSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, P. R. China.
Hao LeiSchool of Public Health, Zhejiang University, Hangzhou, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to evaluate the infection risk of aircraft passengers seated within and beyond two rows of the index case(s) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A(H1N1)pdm09 virus, and SARS-CoV-1. PubMed databases were searched for articles containing information on air travel-related transmission of SARS-CoV-2, influenza A(H1N1)pdm09 virus, and SARS-CoV-1 infections. We performed a meta-analysis of inflight infection data. In the eight flights where the attack rate could be calculated, the inflight SARS-CoV-2 attack rates ranged from 2.6% to 16.1%. The risk ratios of infection for passengers seated within and outside the two rows of the index cases were 5.64 (95% confidence interval (CI):1.94-16.40) in SARS-CoV-2 outbreaks, 4.26 (95% CI:1.08-16.81) in the influenza A(H1N1)pdm09 virus outbreaks, and 1.91 (95% CI:0.80-4.55) in SARS-CoV-1 outbreaks. Furthermore, we found no significant difference between the attack rates of SARS-CoV-2 in flights where the passengers were wearing masks and those where they were not (

Indexed as

Air TravelCOVID-19Influenza A Virus, H1N1 SubtypeInfluenza, HumanHumansSARS-CoV-2Travel-Related Illnessinflight outbreaksinfluenzarisk ratioSARS-CoV-1SARS-CoV-2transmission route

Identifiers

PMID37350245
PMCPMC10344696

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.