Evidence map›Paper›PMID 35844457›Full record

ArticleComputational and mathematical methods in medicine2022

Computer Added Simulation of the Spread of Multidrug-Resistant Bacteria in an Radiation Therapy Shelter Based on Computational Fluid Dynamics.

Kuan Wu, Xiadong Li, Xiaoyan Miu, Huichun Feng

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Kuan WuDepartment of Tumor Radiotherapy, First People's Hospital of Fuyang, 311400 Hangzhou, China.ORCID https://orcid.org/0000-0001-8524-0836
Xiadong LiDepartment of Tumor Radiotherapy, Hangzhou First People's Hospital, Wushan District, 310000 Hangzhou, China.ORCID https://orcid.org/0000-0002-9956-9111
Xiaoyan MiuDepartment of Tumor Radiotherapy, First People's Hospital of Fuyang, 311400 Hangzhou, China.ORCID https://orcid.org/0000-0001-8659-5129
Huichun FengDepartment of Tumor Radiotherapy, Hangzhou First People's Hospital, Wushan District, 310000 Hangzhou, China.ORCID https://orcid.org/0000-0002-0545-5640
Hangzhou First People's Hospital · CNThe First People's Hospital of Guiyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Due to the poor ventilation and air stagnation in the radiation therapy ward, it is easy to cause respiratory disease transmission, which brings about the public health safety problem of infection. In order to alleviate this problem, we propose a research method based on computational fluid dynamics (CFD). Method: A three-dimensional model of a radiation therapy ward is established, and the CFD software framework is used to numerically simulate the air flow field in the constrained radiation therapy ward environment. We computed the influence of the spray speed, particle size, and inlet content of respiratory droplets on the flow and spread of multidrug-resistant bacteria. Results: In the range of the horizontal transmission line Conclusion: A large amount of data shows that there is a positive correlation between the respiratory droplet spray velocity, inlet content, and the multidrug-resistant bacteria flow propagation speed and concentration distribution. The respiratory droplet size mainly affects the peak concentration of the multidrug-resistant bacteria flow propagation.

Indexed as

ComputersHydrodynamicsBacteriaComputer SimulationHumansParticle Size

Identifiers

PMID35844457
PMCPMC9279081
OpenAlexW4285819001

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.