Evidence map›Paper›PMID 33249105›Full record

ArticleThe Journal of infection2021

The impact of COVID-19 preventative measures on airborne/droplet-transmitted infectious diseases in Taiwan.

Chih-Cheng Lai, Shey-Ying Chen, Muh-Yong Yen, Ping-Ing Lee, Wen-Chien Ko, Po-Ren Hsueh

Abstract readLetterComment
In one paragraph

Article in The Journal of infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. How Taiwan has responded to COVID-19 and how COVID-19 has affected Taiwan, 2020-2022.Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · 2023
    Review
  11. Spatial and temporal distribution of emerging airborne viral infectious diseases outbreaks on a global scale.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023
    Article
  12. Observational
  13. Respiratory viruses in rural Zambia before and during the COVID-19 pandemic.Tropical medicine & international health : TM & IH · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Chih-Cheng LaiDepartment of Internal Medicine, Kaohsiung Veterans General Hospital, Tainan Branch, Tainan, Taiwan.
Shey-Ying ChenDepartment of Emergency Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Center for Quality Management, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
Muh-Yong YenDivision of Infectious Diseases, Taipei City Hospital, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Ping-Ing LeeDepartment of Pediatrics, National Taiwan University Children's Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Wen-Chien KoDepartment of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Po-Ren HsuehDepartment of Laboratory Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan. Electronic address: hsporen@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Communicable DiseasesCOVID-19Cross-Sectional StudiesHumansSARS-CoV-2Taiwan

Identifiers

PMID33249105
PMCPMC7690307

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.