Evidence map›Paper›PMID 34549275›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission Among Air Passengers in China.

Maogui Hu, Jinfeng Wang, Hui Lin, Corrine W Ruktanonchai, Chengdong Xu, Bin Meng, Xin Zhang, Alessandra Carioli, Yuqing Feng, Qian Yin and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Risk of COVID-19 Transmission Aboard Aircraft: An Epidemiological Analysis Based on the National Health Information Platform.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  9. Article
  10. Attack Rate for Wild-Type SARS-CoV-2 during Air Travel: Results from 46 Flights Traced by German Health Authorities, January-March and June-August 2020.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    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

16 authors at 6 institutions in 3 countries.

Maogui HuInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Jinfeng WangInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Hui LinChina Academy of Electronics and Information Technology, Beijing, China.
Corrine W RuktanonchaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Chengdong XuInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Bin MengBeijing Union University, Beijing, China.
Xin ZhangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Alessandra CarioliWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Yuqing FengInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Qian YinInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Jessica R FloydWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Nick W RuktanonchaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Zhongjie LiDivisions of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Weizhong YangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Andrew J TatemWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Shengjie LaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Chinese Academy of Sciences · CNUniversity of Southampton · GBBeijing Union University · CNChina Academy of Information and Communications Technology · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CN

Funding

Bill & Melinda Gates Foundation INV-002697Bill & Melinda Gates Foundation INV-024911Wellcome TrustWellcome Trust 106866/Z/15/ZWellcome Trust 204613/Z/16/Z
6 · The paper itself

Abstract

backgroundModern transportation plays a key role in the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and new variants. However, little is known about the exact transmission risk of the virus on airplanes.

methodsUsing the itinerary and epidemiological data of coronavirus disease 2019 (COVID-19) cases and close contacts on domestic airplanes departing from Wuhan city in China before the lockdown on 23 January 2020, we estimated the upper and lower bounds of overall transmission risk of COVID-19 among travelers.

resultsIn total, 175 index cases were identified among 5797 passengers on 177 airplanes. The upper and lower attack rates (ARs) of a seat were 0.60% (34/5622, 95% confidence interval [CI] .43-.84%) and 0.33% (18/5400, 95% CI .21-.53%), respectively. In the upper- and lower-bound risk estimates, each index case infected 0.19 (SD 0.45) and 0.10 (SD 0.32) cases, respectively. The seats immediately adjacent to the index cases had an AR of 9.2% (95% CI 5.7-14.4%), with a relative risk 27.8 (95% CI 14.4-53.7) compared to other seats in the upper limit estimation. The middle seat had the highest AR (0.7%, 95% CI .4%-1.2%). The upper-bound AR increased from 0.7% (95% CI 0.5%-1.0%) to 1.2% (95% CI .4-3.3%) when the co-travel time increased from 2.0 hours to 3.3 hours.

conclusionsThe ARs among travelers varied by seat distance from the index case and joint travel time, but the variation was not significant between the types of aircraft. The overall risk of SARS-CoV-2 transmission during domestic travel on planes was relatively low. These findings can improve our understanding of COVID-19 spread during travel and inform response efforts in the pandemic.

Indexed as

COVID-19SARS-CoV-2ChinaCommunicable Disease ControlHumansPandemicsairplaneattack rateCOVID-19SARS-CoV-2transmission

Identifiers

PMID34549275
PMCPMC9402632
OpenAlexW3200728455

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.