Worldwide health care problems are finding growing application in Operations Research. This monograph covers a range of modeling and methodological issues including environmental, experimental, simulation, and mathematical modeling approaches. The author is one of the leading research scholars in the field. His work on health risk modeling will be synthesized along with the work of others on modeling human health risks. The main goal is to provide and illustrate methods for quantitative risk assessment and for comparing alternative risk management actions, given realistic limitations on scientific knowledge and available data. Some of the steps covered are hazard identification, exposure assessment, dose-response modeling, and risk characterization, including uncertainty and sensitivity analyses.
"Antibiotic use in animals has aroused sharply polarised views and public anxiety about potential human health risks, stimulated by lack of any objective standard to help navigate among conflicting studies and perceptions. Tony Cox's Quantitative Health Risk Analysis Methods represents a giant leap forward, helping to provide such a standard. Notable improvements and increased scientific rigor in public health risk assessment and risk management can be expected from the insightful approaches lucidly described in this book. I will be recommending it enthusiastically to all students of public health." Stephen Page, University of Sydney Veterinary Public Health Management Program
"Tony Cox has been a true pioneer in this previously untouched niche area of applied risk assessment. This book should be highly instructive to those interested in attempting to model potential human health risks of antimicrobial resistance from complex food exposure pathways." Rich Carnevale, Animal Health Institute