About: An Analysis on the Detection of Biological Contaminants Aboard Aircraft

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Analysis on the Detection of Biological Contaminants Aboard Aircraft
Creator	Dicarlo, A Hwang, G Lin, G
Source	Medline; PMC
abstract	The spread of infectious disease via commercial airliner travel is a significant and realistic threat. To shed some light on the feasibility of detecting airborne pathogens, a sensor integration study has been conducted and computational investigations of contaminant transport in an aircraft cabin have been performed. Our study took into consideration sensor sensitivity as well as the time-to-answer, size, weight and the power of best available commercial off-the-shelf (COTS) devices. We conducted computational fluid dynamics simulations to investigate three types of scenarios: (1) nominal breathing (up to 20 breaths per minute) and coughing (20 times per hour); (2) nominal breathing and sneezing (4 times per hour); and (3) nominal breathing only. Each scenario was implemented with one or seven infectious passengers expelling air and sneezes or coughs at the stated frequencies. Scenario 2 was implemented with two additional cases in which one infectious passenger expelled 20 and 50 sneezes per hour, respectively. All computations were based on 90 minutes of sampling using specifications from a COTS aerosol collector and biosensor. Only biosensors that could provide an answer in under 20 minutes without any manual preparation steps were included. The principal finding was that the steady-state bacteria concentrations in aircraft would be high enough to be detected in the case where seven infectious passengers are exhaling under scenarios 1 and 2 and where one infectious passenger is actively exhaling in scenario 2. Breathing alone failed to generate sufficient bacterial particles for detection, and none of the scenarios generated sufficient viral particles for detection to be feasible. These results suggest that more sensitive sensors than the COTS devices currently available and/or sampling of individual passengers would be needed for the detection of bacteria and viruses in aircraft.
has issue date	2011-01-17(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0014520
bibo:pmid	21264266
has license	cc-by
sha1sum (hex)	0700c01d64e50ef5ae5943328bd734718cf614f4
schema:url	https://doi.org/10.1371/journal.pone.0014520
resource representing a document's title	An Analysis on the Detection of Biological Contaminants Aboard Aircraft
has PubMed Central identifier	PMC3022008
has PubMed identifier	21264266
schema:publication	PLoS One
resource representing a document's body	covid:0700c01d64e50ef5ae5943328bd734718cf614f4#body_text
is schema:about of	named entity 'BIOLOGICAL' named entity 'AIRCRAFT' covid:arg/0700c01d64e50ef5ae5943328bd734718cf614f4 named entity 'VIRUSES' named entity 'CASES' named entity 'TO INVESTIGATE' named entity 'INDIVIDUAL' named entity 'SPREAD' named entity 'ENOUGH' named entity 'DETECTION' named entity 'POWER' named entity 'COMMERCIAL' named entity 'COLLECTOR' named entity 'HIGH' named entity 'COMPUTATIONAL' named entity 'DETECTION OF BACTERIA' named entity 'DEVICES' named entity 'AEROSOL' named entity 'TIME' named entity 'MINUTES' named entity 'BIOSENSOR' named entity 'INFECTIOUS' named entity 'PRINCIPAL' named entity 'CASE' named entity 'RESULTS' named entity 'COMPUTATIONAL FLUID DYNAMICS SIMULATIONS' named entity 'IMPLEMENTED' named entity 'NOMINAL' named entity 'PER HOUR' named entity 'SENSOR' named entity 'TRAVEL' named entity 'GENERATE' named entity 'HAVE' named entity 'PARTICLES' named entity 'PASSENGER' named entity 'USING' named entity 'THREAT' named entity 'SIZE' named entity 'DETECTING' named entity 'FEASIBILITY' named entity 'SENSITIVITY' named entity 'STUDY' named entity 'OUR' named entity 'AIRLINER' named entity 'STEPS' named entity 'IS A' named entity 'FINDING' named entity 'PREPARATION' named entity 'PASSENGERS' named entity 'AIR' named entity 'INVESTIGATIONS' named entity 'SNEEZES' named entity 'CONSIDERATION' named entity 'COUGHING' named entity 'TIMES PER HOUR' named entity 'DETECTED' named entity 'LIGHT' named entity 'TYPES' named entity 'SEVEN' named entity 'SIGNIFICANT' named entity 'TRANSPORT' named entity 'COTS' named entity 'CONTAMINANT' named entity 'SCENARIO' named entity 'CONCENTRATIONS' named entity 'BASED' named entity 'STEADY-STATE' named entity 'CURRENTLY' named entity 'FREQUENCIES' named entity 'THESE' named entity 'ANALYSIS' named entity 'CONTAMINANTS' named entity 'DETECTION' named entity 'FAILED' named entity 'SNEEZING' named entity 'STATED' named entity 'SHELF' named entity 'PROVIDE' named entity 'INCLUDED'

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