TY - CONF
T1 - Fungal exposure assessment
T2 - 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
AU - Cervantes, Renata
AU - Dias, Marta
AU - Gomes, Bianca
AU - Viegas, Carla
N1 - Funding Information:
This work was funded by Instituto Politécnico de Lisboa, for funding the Project “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIOAmbuDrivers_ESTeSL) and supported by national funds through the FCT - Fundação para a Ciência e Tecnologia, I.P., (PhD Grant UI/BD/151431/2021). H&TRC authors gratefully acknowledge the FCT/MCTES national support through the UIDB/05608/2020 and UIDP/05608/2020.
Funding Information:
This work was funded by Instituto Politécnico de Lisboa, for funding the Project “Occupational exposure of ambulance drivers to bioburden” (IPL/2020/BIO-AmbuDrivers_ESTeSL) and supported by national funds through the FCT - Fundação para a Ciência e Tecnologia, I.P., (PhD Grant UI/BD/151431/2021). H&TRC authors gratefully acknowledge the FCT/MCTES national support through the UIDB/05608/2020 and UIDP/05608/2020.
Publisher Copyright:
© 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The development of new methodologies in order to determine the best sampling approach for each exposure assessment is essential. The purpose of this assessment was to create a score that would provide up-to-date information to identify the most suitable sampling method to assess occupational exposure to fungi analyzing different sampling methods and taking into account all the parameters involved in the sample and analysis procedures. This study was performed for the sampling methods applied in an enlarged project that aimed to characterize the microbial contamination of eleven firefighters headquarters (FFH) with a multi-approach sampling and analyses protocol. Using eight predictor variables, we were able to create a simple nomogram of good predictive accuracy that can serve as a tool to aid in future decision-making processes in future sampling campaigns on different occupational environments.
AB - The development of new methodologies in order to determine the best sampling approach for each exposure assessment is essential. The purpose of this assessment was to create a score that would provide up-to-date information to identify the most suitable sampling method to assess occupational exposure to fungi analyzing different sampling methods and taking into account all the parameters involved in the sample and analysis procedures. This study was performed for the sampling methods applied in an enlarged project that aimed to characterize the microbial contamination of eleven firefighters headquarters (FFH) with a multi-approach sampling and analyses protocol. Using eight predictor variables, we were able to create a simple nomogram of good predictive accuracy that can serve as a tool to aid in future decision-making processes in future sampling campaigns on different occupational environments.
KW - Environmental Samples
KW - Fungi
KW - Occupational Exposure
UR - http://www.scopus.com/inward/record.url?scp=85159160429&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85159160429
Y2 - 12 June 2022 through 16 June 2022
ER -