ReviewEuropean physical journal plus2022
A review on the transmission of COVID-19 based on cough/sneeze/breath flows.
Review in European physical journal plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 80 citations in OpenAlex.
- On the efficacy of facial masks to suppress the spreading of pathogen-carrying saliva particles during human respiratory events: Insights gained via high-fidelity numerical modeling.Medical research archives · 2024Article
- Article
- Breastfeeding Practices for COVID-19-Infected Mothers: A Systematic Review and Meta-Analysis.Nursing reports (Pavia, Italy) · 2024Review
- Clinical Characteristics of Hospitalized Patients With COVID-19: A Retrospective Cohort Study in Pakistan.Cureus · 2023Article
- A noncontact modular infectious disease screening clinic aiming to achieve zero cross-contaminations.Heliyon · 2023Article
- Personal protective measures and settings on the risk of SARS-COV-2 community transmission: a case-control study.Frontiers in public health · 2023Article
- Rapid antigen test as a tool for the identification of SARS-CoV-2 infection and its potential as a self-testing device.Revista da Sociedade Brasileira de Medicina Tropical · 2023Article
- Weather Conditions and COVID-19 Cases: Insights from the GCC Countries.Intelligent systems with applications · 2022Article
- Real-World Evidence on the Effectiveness of Plexiglass Barriers in Reducing Aerosol Exposure.Pathogens & immunity · 2022Article
- Prevalence and association of oral manifestations with disease severity in patients diagnosed with COVID‑19: A cross‑sectional study.Medicine internationalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 pandemic has recently had a dramatic impact on society. The understanding of the disease transmission is of high importance to limit its spread between humans. The spread of the virus in air strongly depends on the flow dynamics of the human airflows. It is, however, known that predicting the flow dynamics of the human airflows can be challenging due to different particles sizes and the turbulent aspect of the flow regime. It is thus recommended to present a deep analysis of different human airflows based on the existing experimental investigations. A validation of the existing numerical predictions of such flows would be of high interest to further develop the existing numerical model for different flow configurations. This paper presents a literature review of the experimental and numerical studies on human airflows, including sneezing, coughing and breathing. The dynamics of these airflows for different droplet sizes is discussed. The influence of other parameters, such as the viscosity and relative humidity, on the germs transmission is also presented. Finally, the efficacy of using a facemask in limiting the transmission of COVID-19 is investigated.
Identifiers
What OpenQuestion holds
Registered trials
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.