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Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi

2022-07Journal article Open access
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dc.contributor.authorCervantes, Renata
dc.contributor.authorDias, Marta
dc.contributor.authorGomes, Bianca
dc.contributor.authorCarolino, Elisabete
dc.contributor.authorViegas, Carla
dc.date.accessioned2022-07-19T16:38:00Z
dc.date.available2022-07-19T16:38:00Z
dc.date.issued2022-07
dc.descriptionProjeto “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIO‐AmbuDrivers_ESTeSL).pt_PT
dc.descriptionProjeto “Indoor air quality assessment aiming sustainability and occupational and environmental health” (IPL/2021/RESpira).pt_PT
dc.descriptionFCT_UIDB/05608/2020. FCT_UIDP/05608/2020.pt_PT
dc.description.abstractThe sampling approach is of utmost importance to obtain data regarding microbial viability and truly assess workers’ potential health effects. The purpose of this assessment is to create a score that will provide up-to-date information to identify the most suitable sampling method to assess occupational exposure to fungi. Data from a sampling campaign performed at Firefighters Headquarters (FFH) was analyzed and a score was calculated from one (1) to three (3) for five (5) distinct sample parameters: (a) accuracy; (b) complexity of the fieldwork; (c) cost; (d) complexity in laboratory work; and (e) time is taken since the fieldwork until obtaining the fungal contamination characterization. The statistical analysis allowed us to conclude that settled dust and Andersen's six-stage were the best sampling methods to perform the assessment of the occupational exposure to fungi at FFH when considering the number of species. As for the final score, the results showed that surface swabs were the best sampling method. The results obtained for surface swabs highlight the low complexity of this processing combined with the fact that it is a low-cost sampling method. This study reinforces the need to use a wide array of sampling methods when assessing occupational exposure to fungal contamination to ensure an accurate risk characterization.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCervantes R, Dias M, Gomes B, Carolino E, Viegas C. Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi. Atmosphere. 2022;13(7):1123.pt_PT
dc.identifier.doi10.3390/atmos13071123pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/14843
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationProjeto “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIO‐AmbuDrivers_ESTeSL).pt_PT
dc.relationProjeto “Indoor air quality assessment aiming sustainability and occupational and environmental health” (IPL/2021/RESpira)pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2073-4433/13/7/1123pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectOccupational healthpt_PT
dc.subjectOccupational exposurept_PT
dc.subjectFungipt_PT
dc.subjectSampling methodspt_PT
dc.subjectIndexed scorept_PT
dc.subjectAccuracypt_PT
dc.subjectSurface swabspt_PT
dc.subjectIPL/2020/BIO‐AmbuDrivers_ESTeSLpt_PT
dc.subjectIPL/2021/RESpirapt_PT
dc.subjectFCT_UIDB/05608/2020pt_PT
dc.subjectFCT_UIDP/05608/2020pt_PT
dc.titleDevelopment of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungipt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue7pt_PT
oaire.citation.startPage1123pt_PT
oaire.citation.titleAtmospherept_PT
oaire.citation.volume13pt_PT
person.familyNameWellenkamp de Carvalho Freire de Cervantes
person.familyNameDias
person.familyNameGomes
person.familyNameCarolino
person.familyNameViegas
person.givenNameRenata
person.givenNameMarta
person.givenNameBianca
person.givenNameElisabete
person.givenNameCarla
person.identifier2371423
person.identifier.ciencia-id6018-3CC9-B640
person.identifier.ciencia-id4E1B-16BB-80C7
person.identifier.ciencia-idAD1E-B4CE-389D
person.identifier.ciencia-id1216-EFA3-1E0F
person.identifier.ciencia-idEE1E-C639-D70F
person.identifier.orcid0000-0001-5990-4168
person.identifier.orcid0000-0002-2704-6995
person.identifier.orcid0000-0002-6264-6072
person.identifier.orcid0000-0003-4165-7052
person.identifier.orcid0000-0002-1545-6479
person.identifier.ridF-1012-2015
person.identifier.ridB-7217-2013
person.identifier.scopus-author-id25821697000
person.identifier.scopus-author-id55443609700
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication28678633-1f6a-4b79-8150-12a857f4a531
relation.isAuthorOfPublication564f2806-6e1e-418d-8d93-737922ad6601
relation.isAuthorOfPublication4f639ef6-2716-49c5-a7e0-75bf0acf6ebc
relation.isAuthorOfPublication77930d39-ed34-44dc-a4a6-9bf833e5e688
relation.isAuthorOfPublicationb5fa5da4-50c3-4b88-ae20-1bc63cb485f7
relation.isAuthorOfPublication.latestForDiscovery564f2806-6e1e-418d-8d93-737922ad6601

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