About: Textile Masks and Surface Covers—A Spray Simulation Method and a “Universal Droplet Reduction Model” Against Respiratory Pandemics

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Textile Masks and Surface Covers—A Spray Simulation Method and a “Universal Droplet Reduction Model” Against Respiratory Pandemics Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Textile Masks and Surface Covers—A Spray Simulation Method and a “Universal Droplet Reduction Model” Against Respiratory Pandemics
Creator	Cominelli, Fabio Basson, Abigail Ilic, Sanja Pereira, Antonio Pizarro, Theresa Rodriguez-Palacios, Alex Neves, Bianca
source	Medline; PMC
abstract	The main form of COVID-19 transmission is via “oral-respiratory droplet contamination” (droplet: very small drop of liquid) produced when individuals talk, sneeze, or cough. In hospitals, health-care workers wear facemasks as a minimum medical “droplet precaution” to protect themselves. Due to the shortage of masks during the pandemic, priority is given to hospitals for their distribution. As a result, the availability/use of medical masks is discouraged for the public. However, for asymptomatic individuals, not wearing masks in public could easily cause the spread of COVID-19. The prevention of “environmental droplet contamination” (EnvDC) from coughing/sneezing/speech is fundamental to reducing transmission. As an immediate solution to promote “public droplet safety,” we assessed household textiles to quantify their potential as effective environmental droplet barriers (EDBs). The synchronized implementation of a universal “community droplet reduction solution” is discussed as a model against COVID-19. Using a bacterial-suspension spray simulation model of droplet ejection (mimicking a sneeze), we quantified the extent by which widely available clothing fabrics reduce the dispersion of droplets onto surfaces within 1.8 m, the minimum distance recommended for COVID-19 “social distancing.” All textiles reduced the number of droplets reaching surfaces, restricting their dispersion to <30 cm, when used as single layers. When used as double-layers, textiles were as effective as medical mask/surgical-cloth materials, reducing droplet dispersion to <10 cm, and the area of circumferential contamination to ~0.3%. The synchronized implementation of EDBs as a “community droplet reduction solution” (i.e., face covers/scarfs/masks and surface covers) will reduce COVID-19 EnvDC and thus the risk of transmitting/acquiring COVID-19.
has issue date	2020-05-27(xsd:dateTime)
bibo:doi	10.3389/fmed.2020.00260
bibo:pmid	32574342
has license	cc-by
sha1sum (hex)	bdc92432d4c4b1c6b2a3abc473de7b6dd9f8ba32
schema:url	https://doi.org/10.3389/fmed.2020.00260
resource representing a document's title	Textile Masks and Surface Covers—A Spray Simulation Method and a “Universal Droplet Reduction Model” Against Respiratory Pandemics
has PubMed Central identifier	PMC7267001
has PubMed identifier	32574342
schema:publication	Front Med (Lausanne)
resource representing a document's body	covid:bdc92432d4c4b1c6b2a3abc473de7b6dd9f8ba32#body_text
is schema:about of	named entity 'droplets' named entity 'contamination' named entity 'individuals' named entity 'prevention' named entity 'reduction' named entity 'Universal' named entity 'Masks' named entity 'PRECAUTION' named entity 'REACHING' named entity 'FACE' named entity 'PUBLIC' named entity 'CIRCUMFERENTIAL' named entity 'ENVIRONMENTAL' named entity 'GIVEN' named entity 'TRANSMISSION' named entity 'MASKS' named entity 'DOUBLE' named entity '1.8' named entity 'DISTRIBUTION' named entity 'transmission' named entity 'liquid' named entity 'effective' named entity 'health-care' named entity 'When' named entity 'mimicking' named entity 'asymptomatic' named entity 'COVID-19' named entity 'environmental' named entity 'drop' named entity 'sneezing' named entity 'However' named entity 'reduced' named entity 'Pandemics' named entity 'coughing' named entity 'COVID' named entity 'sneeze' named entity 'textiles' named entity 'COVID' named entity 'droplet' named entity 'pandemics' named entity 'textile' named entity 'external validity' named entity 'STATA' named entity 'NIH' named entity 'short supply' named entity 'bodily fluids' named entity '8.5' named entity 'ImageJ' named entity 'aqueous suspension' named entity 'textile' named entity '2, 3' named entity 'textile' named entity 'textiles' named entity 'polyester' named entity 'textile' named entity 'morbidity' named entity 'handwashing' named entity 'fatigue' named entity '4.3' named entity 'NIH' named entity 'Physiologically' named entity 'textiles' named entity '8.5' named entity 'Streptococcus' named entity 'tracheal' named entity 'spore forming' named entity 'Petri dishes' named entity 'textile' named entity 'respiratory droplets' named entity 'textile' named entity 'viruses' named entity 'pandemics' named entity 'polynomial regression' named entity 'sneezing' named entity 'respiratory mask'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software