Louis Anthony Cox Jr.

eBook, PDF

Quantitative Health Risk Analysis Methods (eBook, PDF)

Modeling the Human Health Impacts of Antibiotics Used in Food Animals

Beschreibung

"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

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 2.65MB

Barrierefreiheit

• Text-to-Speech

Autor

Louis Anthony Cox, Jr., Cox Associates, Denver, CO, USA

Produktdetails

• Verlag: Springer US
• Seitenzahl: 354
• Erscheinungstermin: 17. März 2006
• Englisch
• ISBN-13: 9780387261188
• Artikelnr.: 37287231

Rezensionen

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)