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In this present article we proposed a modeling framework for assessing exposure model performance and the role of spatial autocorrelation in the estimation of health effects.
The developed approach is promising in the sense that it furnishes a framework for assessing exposure variation, which is considered to be relevant in relation to development of work-related musculoskeletal disorders.
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Questionnaires are a common tool for assessing exposure.
GIS are commonly used for assessing exposure to air pollution.
It also presented several challenges for assessing exposure.
Tables 1 and 2 present the sampling framework proposed by the Exposure to Chemical Agents Working Group of the NCS for assessing exposures to nonpersistent pesticides.
To develop a framework, different approaches were discussed for assessing eco-environmental health vulnerability, including literature reviews to examine the components of vulnerability such as natural hazard risk and exposure and to investigate already existing frameworks for assessing vulnerability.
Through examination of DIC, spatial autocorrelation in the outcome and exposure, and the subsequent impacts on point estimates and credible intervals, we have developed a framework for assessing spatial exposure model performance.
Figure 1 WHO/IPCS framework for assessing combined exposures to multiple chemicals from multiple sources [[1]].
ECH, JG; prepared draft and revisions to manuscript; developed visioning framework for assessing linkages between exposure and internal measures and health status.
Recently, a unique framework for assessing historical benzene exposure was developed and applied in a population-based cohort study of Chinese women living in urban Shanghai (Friesen et al. 2012).
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