Evidence map›Paper›PMID 36182670›Full record

ArticleComputer methods and programs in biomedicine2022

Microstructural evaluation and recommendations for face masks in community use to reduce the transmission of respiratory infectious diseases.

Alp Karakoç, Arttu Miettinen, Emrah Sözümert, Llion Evans, Hüseyin Yiğitler, Başak Bostanci, Ertuğrul Taciroğlu, Riku Jäntti

Open access · hybridAbstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. A Review of Image-Based Simulation Applications in High-Value Manufacturing.Archives of computational methods in engineering : state of the art reviews · 2023
    Review
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

8 authors at 4 institutions in 3 countries.

Alp KarakoçAalto University, Department of Communications and Networking, Espoo, Finland. Electronic address: alp.karakoc@alumni.aalto.fi.
Arttu MiettinenDepartment of Physics, University of Jyväskylä, Jyväskylä, Finland.
Emrah SözümertCollege of Engineering, Swansea University, UK.
Llion EvansCollege of Engineering, Swansea University, UK.
Hüseyin YiğitlerAalto University, Department of Communications and Networking, Espoo, Finland.
Başak BostanciInstitute Medicana Hospital Istanbul, Ophthalmology Department, İstanbul, Turkey.
Ertuğrul TaciroğluUniversity of California Los Angeles, Dept. of Civil & Environmental Engineering, USA.
Riku JänttiAalto University, Department of Communications and Networking, Espoo, Finland.
Aalto University · FISwansea University · GBUniversity of California, Los Angeles · USUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveRecommendations for the use of face masks to prevent and protect against the aerosols (≤5µm) and respiratory droplet particles (≥5µm), which can carry and transmit respiratory infections including severe acute respiratory syndrome coronavirus (SARS-CoV-2), have been in effect since the early stages of the coronavirus disease 2019 (COVID-19). The particle filtration efficiency (PFE) and air permeability are the most crucial factors affecting the level of pathogen transmission and breathability, i.e. wearer comfort, which should be investigated in detail.

methodsIn this context, this article presents a novel assessment framework for face masks combining X-ray microtomography and computational fluid dynamics simulations. In consideration to their widespread public use, two types of face masks were assessed: (I) two layer non-woven face masks and (II) the surgical masks (made out of a melt-blown fabric layer covered with two non-woven fabric layers).

resultsThe results demonstrate that the surgical masks provide PFEs over 75% for particles with diameter over 0.1µm while two layer face masks are found out to have insufficient PFEs, even for the particles with diameter over 2µm (corresponding PFE is computed as 47.2%). Thus, existence of both the non-woven fabric layers for mechanical filtration and insertion of melt-blown fabric layer(s) for electrostatic filtration in the face masks were found to be highly critical to prevent the airborne pathogen transmission.

conclusionsThe present framework would assist in computational assessment of commonly used face mask types based on their microstructural characteristics including fiber diameter, orientation distributions and fiber network density. Therefore, it would be also possible to provide new yet feasible design routes for face masks to ensure reliable personal protection and optimal breathability.

Indexed as

Communicable DiseasesCOVID-19FiltrationHumansMasksRespiratory Aerosols and DropletsSARS-CoV-2Airborne pathogenComputational fluid dynamicsCOVID-19Face masksSARS-CoV-2X-ray microtomography

Identifiers

PMID36182670
PMCPMC9519173
OpenAlexW4297179555

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.