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Focusing on quantitative risk assessment, this book delves into modeling methods for evaluating health risks linked to air pollution. It emphasizes the application of advanced data science techniques, including artificial intelligence and causal analytics, to enhance the precision of health risk quantification. By addressing the complexities of correlation versus causation, it aims to provide clearer insights into how reducing air pollution can mitigate adverse health effects. The text is a vital resource for understanding and communicating uncertainties in environmental health risks.
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Quantitative Risk Analysis of Air Pollution Health Effects, Louis Anthony Cox Jr.
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- Pubblicato
- 2020
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