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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不規(guī)則

How Realistic Are Estimates of Health Benefits from Air Pollution Control? also associated with living in areas having higher air pollution levels. This raises the public health question: would reducing air pollution levels without addressing the other correlates of low income that might contribute to increased health risks, be effective in reducing health risks? Decades

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Do Causal Concentration-Response Functions Exist? the basis for many public health risk assessments, benefits estimates for clean air regulations, and recommendations for revisions to existing air quality standards (Schwartz et al. 2002). The assumption that C-R functions relating levels of exposure and levels of response estimated from historical

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prolate

0884-8289 reducing exposures affects human health risks.Focuses on qua.This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties. It shows how to?apply modern data science, arti

tolerance

漂泊

Socioeconomic Correlates of Air Pollution and Heart Diseaseates. This contrasts with other concepts of causation that seek to attribute some number of “premature” deaths or diseases per year to air pollution without addressing the extent, if any, to which these attributed deaths would be prevented by reducing pollution levels (see Chaps. . and .).

ensemble

制度

How Do Exposure Estimation Errors Affect Estimated Exposure-Response Relations?e pollution dramatically, by as much as 70% and dozens of micrograms per cubic meter, has not detectably affected all-cause mortality rates even after decades, despite strong, statistically significant positive exposure concentration-response (C-R) associations between them (Zigler and Dominici 2014; see also Chap. .).

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978-3-030-57360-7Springer Nature Switzerland AG 2021