Evidence map›Paper›PMID 34471333›Full record

ReviewPhysics of fluids (Woodbury, N.Y. : 1994)2021

Fluid dynamics of respiratory droplets in the context of COVID-19: Airborne and surfaceborne transmissions.

Pallavi Katre, Sayak Banerjee, Saravanan Balusamy, Kirti Chandra Sahu

Abstract readReview
In one paragraph

Review in Physics of fluids (Woodbury, N.Y. : 1994), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Bouncing microdroplets on hydrophobic surfaces.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Should not airborne transmission be ignored in the 2022 monkeypox outbreak?International journal of surgery (London, England) · 2022
    Article
  11. Article
  12. Evaporation of liquid nanofilms: A minireview.Physics of fluids (Woodbury, N.Y. : 1994) · 2022
    Review
  13. An integrated simulation framework for the prevention and mitigation of pandemics caused by airborne pathogens.Network modeling and analysis in health informatics and bioinformatics · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. 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.

Pallavi KatreDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502285, Telangana, India.
Sayak BanerjeeDepartment of Mechanical and Aerospace Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502285, Telangana, India.ORCID https://orcid.org/0000-0002-9595-6456
Saravanan BalusamyDepartment of Mechanical and Aerospace Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502285, Telangana, India.ORCID https://orcid.org/0000-0002-3418-4915
Kirti Chandra SahuDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502285, Telangana, India.ORCID https://orcid.org/0000-0002-7357-1141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization has declared COVID-19 a global pandemic. Several countries have experienced repeated periods of major spreading over the last two years. Many people have lost their lives, employment, and the socioeconomic situation has been severely impacted. Thus, it is considered to be one of the major health and economic disasters in modern history. Over the last two years, several researchers have contributed significantly to the study of droplet formation, transmission, and lifetime in the context of understanding the spread of such respiratory infections from a fluid dynamics perspective. The current review emphasizes the numerous ways in which fluid dynamics aids in the comprehension of these aspects. The biology of the virus, as well as other statistical studies to forecast the pandemic, is significant, but they are not included in this review.

Identifiers

PMID34471333
PMCPMC8404377

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.