Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungi
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/142906 |
Resumo: | 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 which 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 analysed and a score was calculated from one (1) to three (3) for five (5) distinct sample parameters: (a) accuracy; (b) complexity of the field work; (c) cost; (d) complexity in laboratory work; and (e) time taken since the fieldwork until obtaining the fungal contamination characterization. The statistical analysis allowed us to conclude that settled dust and Andersen 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 highlights 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. |
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Development of an indexed score to identify the most suitable sampling method to assess occupational exposure to fungioccupational exposure to fungisampling methodsindexed scoreaccuracysurface swabsThe 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 which 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 analysed and a score was calculated from one (1) to three (3) for five (5) distinct sample parameters: (a) accuracy; (b) complexity of the field work; (c) cost; (d) complexity in laboratory work; and (e) time taken since the fieldwork until obtaining the fungal contamination characterization. The statistical analysis allowed us to conclude that settled dust and Andersen 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 highlights 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.Centro de Investigação em Saúde Pública (CISP/PHRC)Comprehensive Health Research Centre (CHRC) - Pólo ENSPEscola Nacional de Saúde Pública (ENSP)RUNCervantes, RenataDias, MartaGomes, BiancaCarolino, ElisabeteViegas, Carla2022-08-08T22:24:14Z2022-072022-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/142906eng2073-4433PURE: 45880904https://doi.org/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:RCAAP2024-03-11T05:20:52Zoai:run.unl.pt:10362/142906Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:34.862273Repositório 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 exposure to fungi sampling methods indexed score accuracy surface swabs |
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 |
Centro de Investigação em Saúde Pública (CISP/PHRC) Comprehensive Health Research Centre (CHRC) - Pólo ENSP Escola Nacional de Saúde Pública (ENSP) RUN |
dc.contributor.author.fl_str_mv |
Cervantes, Renata Dias, Marta Gomes, Bianca Carolino, Elisabete Viegas, Carla |
dc.subject.por.fl_str_mv |
occupational exposure to fungi sampling methods indexed score accuracy surface swabs |
topic |
occupational exposure to fungi sampling methods indexed score accuracy surface swabs |
description |
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 which 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 analysed and a score was calculated from one (1) to three (3) for five (5) distinct sample parameters: (a) accuracy; (b) complexity of the field work; (c) cost; (d) complexity in laboratory work; and (e) time taken since the fieldwork until obtaining the fungal contamination characterization. The statistical analysis allowed us to conclude that settled dust and Andersen 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 highlights 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-08T22:24:14Z 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/10362/142906 |
url |
http://hdl.handle.net/10362/142906 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2073-4433 PURE: 45880904 https://doi.org/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.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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799138102068903936 |