Evidence map›Paper›PMID 37287591›Full record

ArticleGlobal challenges (Hoboken, NJ)2023

Fates of Emitted Particles Depending on Mask Wearing Using an Approach Validated Across Spatial Scales.

André Baumann, Dennis Hoch, Jennifer Niessner

Open access · goldAbstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2023. 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
0.3field-weighted citation impact, top 39% 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, 1 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

3 authors at 1 institution in 1 country.

André BaumannInstitute for Flow in Additively Manufactured Porous Media (ISAPS) Heilbronn University of Applied Sciences Max-Planck-Straße 39 74081 Heilbronn Germany.
Dennis HochInstitute for Flow in Additively Manufactured Porous Media (ISAPS) Heilbronn University of Applied Sciences Max-Planck-Straße 39 74081 Heilbronn Germany.
Jennifer NiessnerInstitute for Flow in Additively Manufactured Porous Media (ISAPS) Heilbronn University of Applied Sciences Max-Planck-Straße 39 74081 Heilbronn Germany.ORCID https://orcid.org/0000-0002-4141-2541
Heilbronn University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of emitted potentially virus-laden aerosol particles is known to be highly dependent on whether a mask is worn by an infected person and on the emission scenario, i.e., whether the person is coughing, speaking, or breathing. The aim of this work is to investigate in detail the fates of particles emitted by a person wearing a perfectly fitting, a naturally fitted mask with leakage, and no mask depending on the emission scenario. Therefore, a two-scale numerical workflow is proposed where parameters are carried through from a micro-scale where the fibers of the mask filter medium and the aerosol particles are resolved to a macro-scale and validated by comparison to experimental measurements of fractional filtration efficiency and pressure drop of the filter medium as well as pressure drop of the mask. It turns out that masks reduce the number of both emitted and inhaled particles significantly even with leakage. While without a mask, the person opposite of an infected person is generally at the highest risk of being infected, a mask worn by an infected person speaking or coughing will deflect the flow leading to the fact that the person behind the infected person might inhale the largest number of aerosol particles.

Indexed as

aerosol particle transportCFD simulationface masksmulti‐scale modelingparticle fates

Identifiers

PMID37287591
PMCPMC10242539
OpenAlexW4368368333

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.