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Exposure Estimation and Interpretation of Occupational Risk: Enhanced Information for the Occupational Risk Manager

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Figures & data

Table 1 Occupational Exposure Limits (OELs) Developed by Various OrganizationsA

Figure 1 Sources of uncertainty and variability in occupational exposure limit derivation.
Figure 1 Sources of uncertainty and variability in occupational exposure limit derivation.
Figure 2 Sources of uncertainty in exposure estimation.
Figure 2 Sources of uncertainty in exposure estimation.

Table 2 Exposure Assessment Cases in Which Probabilistic Uncertainty Analyses are Useful (modified from Cullen and Frey(Citation15))

Figure 3 Low-dose extrapolation methods for estimating risk. Approaches are shown for extrapolation to exposures below the range of available health effects data. Panel (A) shows a hypothetical exposure response curve with the probability of adverse effect shown to increase with increasing exposure concentration. Panel (B) shows the application of an uncertainty factor (UF) to a point of departure (POD) in region of low effect incidence to estimate an occupational exposure limit (OEL). Panel (C) shows the linear extrapolation from the POD to an OEL or a hypothetical point of no exposure or excess risk (the graphical origin). The slopes of the resulting lines are used by some organizations as an upper bound estimate of risk. Panel (D) is an alternative to linear extrapolation when the use of the health effects data supports the derivation of an exposure-response curve directly in the exposure region of interest. This is most typical when large data sets are adequate to estimate risk in the 1:1000 range or when a high degree of knowledge of the underlying biology of the adverse effect is available to infer the shape of the curve at low concentrations.
Figure 3 Low-dose extrapolation methods for estimating risk. Approaches are shown for extrapolation to exposures below the range of available health effects data. Panel (A) shows a hypothetical exposure response curve with the probability of adverse effect shown to increase with increasing exposure concentration. Panel (B) shows the application of an uncertainty factor (UF) to a point of departure (POD) in region of low effect incidence to estimate an occupational exposure limit (OEL). Panel (C) shows the linear extrapolation from the POD to an OEL or a hypothetical point of no exposure or excess risk (the graphical origin). The slopes of the resulting lines are used by some organizations as an upper bound estimate of risk. Panel (D) is an alternative to linear extrapolation when the use of the health effects data supports the derivation of an exposure-response curve directly in the exposure region of interest. This is most typical when large data sets are adequate to estimate risk in the 1:1000 range or when a high degree of knowledge of the underlying biology of the adverse effect is available to infer the shape of the curve at low concentrations.

Table 3 Summary of Key Considerations during Phases of Risk Assessment