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

Detalhes bibliográficos
Autor(a) principal: Cervantes, Renata
Data de Publicação: 2022
Outros Autores: Dias, Marta, Gomes, Bianca, Carolino, Elisabete, Viegas, Carla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/14843
Resumo: Projeto “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIO‐AmbuDrivers_ESTeSL).
id RCAP_6f6b5fd847c8e5dfed15bb26592a1811
oai_identifier_str oai:repositorio.ipl.pt:10400.21/14843
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungiOccupational healthOccupational exposureFungiSampling methodsIndexed scoreAccuracySurface swabsIPL/2020/BIO‐AmbuDrivers_ESTeSLIPL/2021/RESpiraFCT_UIDB/05608/2020FCT_UIDP/05608/2020Projeto “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIO‐AmbuDrivers_ESTeSL).Projeto “Indoor air quality assessment aiming sustainability and occupational and environmental health” (IPL/2021/RESpira).FCT_UIDB/05608/2020. FCT_UIDP/05608/2020.The 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.MDPIRCIPLCervantes, RenataDias, MartaGomes, BiancaCarolino, ElisabeteViegas, Carla2022-07-19T16:38:00Z2022-072022-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14843engCervantes 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):1123.10.3390/atmos13071123info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:11:33Zoai:repositorio.ipl.pt:10400.21/14843Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:34.530159Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
title Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
spellingShingle Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
Cervantes, Renata
Occupational health
Occupational exposure
Fungi
Sampling methods
Indexed score
Accuracy
Surface swabs
IPL/2020/BIO‐AmbuDrivers_ESTeSL
IPL/2021/RESpira
FCT_UIDB/05608/2020
FCT_UIDP/05608/2020
title_short Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
title_full Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
title_fullStr Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
title_full_unstemmed Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
title_sort Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
author Cervantes, Renata
author_facet Cervantes, Renata
Dias, Marta
Gomes, Bianca
Carolino, Elisabete
Viegas, Carla
author_role author
author2 Dias, Marta
Gomes, Bianca
Carolino, Elisabete
Viegas, Carla
author2_role author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Cervantes, Renata
Dias, Marta
Gomes, Bianca
Carolino, Elisabete
Viegas, Carla
dc.subject.por.fl_str_mv Occupational health
Occupational exposure
Fungi
Sampling methods
Indexed score
Accuracy
Surface swabs
IPL/2020/BIO‐AmbuDrivers_ESTeSL
IPL/2021/RESpira
FCT_UIDB/05608/2020
FCT_UIDP/05608/2020
topic Occupational health
Occupational exposure
Fungi
Sampling methods
Indexed score
Accuracy
Surface swabs
IPL/2020/BIO‐AmbuDrivers_ESTeSL
IPL/2021/RESpira
FCT_UIDB/05608/2020
FCT_UIDP/05608/2020
description Projeto “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIO‐AmbuDrivers_ESTeSL).
publishDate 2022
dc.date.none.fl_str_mv 2022-07-19T16:38:00Z
2022-07
2022-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/14843
url http://hdl.handle.net/10400.21/14843
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cervantes 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.
10.3390/atmos13071123
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133497622790144