Title
Application of a dynamic population-based model for evaluation of exposure reduction strategies in the baking industry
Author
Meijster, T.
Warren, N.
Heederik, D.
Tielemans, E.
TNO Kwaliteit van Leven
Publication year
2009
Abstract
Recently a dynamic population model was developed that simulates a population of bakery workers longitudinally through time and tracks the development of work-related sensitisation and respiratory symptoms in each worker. Input for this model comes from cross-sectional and longitudinal epidemiological studies which allowed estimation of exposure response relationships and disease transition probabilities This model allows us to study the development of diseases and transitions between disease states over time in relation to determinants of disease including flour dust and/or allergen exposure. Furthermore it enables more realistic modelling of the health impact of different intervention strategies at the workplace (e.g. changes in exposure may take several years to impact on ill-health and often occur as a gradual trend). A large dataset of individual full-shift exposure measurements and real-time exposure measurements were used to obtain detailed insight into the effectiveness of control measures and other determinants of exposure. Given this information a population wide reduction of the median exposure with 50% was evaluated in this paper. © 2009 IOP Publishing Ltd.
Subject
Safety Chemistry
Food and Chemical Risk Analysis
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http://resolver.tudelft.nl/uuid:a7a6dc47-c782-46f6-b226-3be7f4a6b09a
DOI
https://doi.org/10.1088/1742-6596/151/1/012001
TNO identifier
241544
Publisher
Institute of Physics Publishing
ISSN
1742-6588
Source
Journal of Physics: Conference Series, 151
Article number
No.: 012001
Document type
article