Quantitative Health Risk Analysis Methods - (International Operations Research & Management Science) by Louis Anthony Cox Jr (Hardcover)

Book Synopsis

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.

From the Back Cover

"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

Review Quotes

From the reviews:

"This book grew out of an effort to salvage a potentially useful idea for greatly simplifying traditional quantitative risk assessments of the human health consequences of using antibiotics in food animals. ... It is truly a pioneering study in this previously underdeveloped area of applied risk assessment. This book should be highly instructive to those interested in attempting to model potential human risks of antimicrobial resistance from complex food exposure pathways. ... The book is a tremendous reference resource ... ." (T. Postelnicu, Zentralblatt MATH, Vol. 1095 (21), 2006)

"This extensively treated application clarifies health risk analysis methods to the reader. It is very well readable. ... The book clearly demonstrates the practical power of data-driven quantitative risk assessment in improving modeling of human health risks created and prevented by antibiotics ... . I do recommend this book." (V. de Valk, Kwantitatieve Methoden, April, 2007)