Titlebook: Quantitative Risk Analysis of Air Pollution Health Effects; Louis Anthony Cox Jr. Book 2021 Springer Nature Switzerland AG 2021 Risk Asses

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Simulating Exposure-Related Health Effects: Basic Ideasding the underlying systems of equations used to model biological responses to exposures to inhaled respirable crystalline silica (Chap. .) and asbestos (Chap. .) and highlighting the importance of nonlinearities in these responses for risk assessment and risk management (Chap. .).

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Case Study: Occupational Health Risks from Crystalline Silicaated two-stage clonal expansion (I-TSCE) model of RCS-induced lung cancer that explains why relatively low estimated concentrations of RCS (e.g., <1 mg/m.) do not increase lung cancer risk and why even high occupational concentrations increase risk only modestly (typically RR < 2). The model of chro

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Nonlinear Dose-Time-Response Risk Models for Protecting Worker HealthKey conclusions are that (1) For RCS, but not asbestos, limiting average (TWA) exposure concentrations also tightly constrains internal doses and ability to trigger chronic inflammation and resulting increases in disease risks; (2) For asbestos, excursions (i.e., spikes in concentrations) and especi

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Why Not Replace Quantitative Risk Assessment Models with Regression Models?he quantitative causal relationships between reductions in exposures and resulting reductions in health risks. Part 3 will apply these lessons specifically to air pollution and public health, with greatest emphasis on National Ambient Aie Quality Standards (NAAQS) for fine particulate matter (PM2.5)

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Clarifying Exposure-Response Regression Coefficients with Bayesian Networks: Blood Lead-Mortality Aso not necessarily reveal the extent to which reducing exposure-related variables (e.g., BLL) alone, while leaving fixed other correlates of exposure and mortality risks (e.g., education, income etc.) would reduce adverse outcome risks (e.g., mortality risks). This chapter illustrates how BN structur