مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

874
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

COMPARISON OF EXPOSURE ASSESSMENT MODELS, EXPERT JUDGMENT AND BAYES ANALYSIS IN PREDICTION OF THE TILE INDUSTRY RESPIRATORY EXPOSURES

Pages

  52-59

Abstract

 Background: Expert judgments in combination with EXPOSURE MODELS are used extensively in estimation of inhalational exposures in occupational environments. However, their reliability is not as well as conventional air sampling methods. The aim of this study was to investigate the applicability, weaknesses and strengths of BAYESIAN ANALYSIS in combination with Structured Subjective Assessment Method (SSA) and Material Estimated and Assessment of Substance Exposure (MEASE) and its comparison with air sampling data.Methods: The analytical cross sectional –study performed on a weighting, mixing and packing task in an inorganic processing industry. Air samples were taken and analyzed by gravimetric methods. INHALATION EXPOSUREs were estimated by three occupational hygienists. Descriptive and BAYESIAN ANALYSIS were performed on data.Results: All three methods guaranteed that the exposure is above exposure limit. There was no difference between means reported in methods (p=0.435). However, SSA had higher variability in comparison with sampling. There was no difference between direct sampling and MEASE variability. Use of SSA as a prior in BAYESIAN ANALYSIS gives more conservative than MEASE method (category 4:0.74 vs. 0.54)Discussion: SSA is a good choice as a prior distribution in BAYESIAN ANALYSIS. MEASE has not good results in comparison with SSA in inhalation EXPOSURE ASSESSMENT. It seems that MEASE needs more validation.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    ZARE SAKHVIDI, M.J., MIHANPOOR, H., FALAHZADEH, H., MOSTAGHACI, M., HALVANI, GH., & SAMOURI, F.. (2014). COMPARISON OF EXPOSURE ASSESSMENT MODELS, EXPERT JUDGMENT AND BAYES ANALYSIS IN PREDICTION OF THE TILE INDUSTRY RESPIRATORY EXPOSURES. OCCUPATIONAL MEDICINE, 5(4), 52-59. SID. https://sid.ir/paper/207033/en

    Vancouver: Copy

    ZARE SAKHVIDI M.J., MIHANPOOR H., FALAHZADEH H., MOSTAGHACI M., HALVANI GH., SAMOURI F.. COMPARISON OF EXPOSURE ASSESSMENT MODELS, EXPERT JUDGMENT AND BAYES ANALYSIS IN PREDICTION OF THE TILE INDUSTRY RESPIRATORY EXPOSURES. OCCUPATIONAL MEDICINE[Internet]. 2014;5(4):52-59. Available from: https://sid.ir/paper/207033/en

    IEEE: Copy

    M.J. ZARE SAKHVIDI, H. MIHANPOOR, H. FALAHZADEH, M. MOSTAGHACI, GH. HALVANI, and F. SAMOURI, “COMPARISON OF EXPOSURE ASSESSMENT MODELS, EXPERT JUDGMENT AND BAYES ANALYSIS IN PREDICTION OF THE TILE INDUSTRY RESPIRATORY EXPOSURES,” OCCUPATIONAL MEDICINE, vol. 5, no. 4, pp. 52–59, 2014, [Online]. Available: https://sid.ir/paper/207033/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button