TY - BOOK AU - ED - SpringerLink (Online service) TI - Quantitative Health Risk Analysis Methods: Modeling the Human Health Impacts of Antibiotics Used in Food Animals T2 - International Series in Operations Research & Management Science, SN - 9780387261188 AV - HD30.23 U1 - 658.40301 23 PY - 2006/// CY - Boston, MA PB - Springer US KW - Economics KW - Veterinary medicine KW - Mathematical statistics KW - Statistics KW - Environmental Medicine KW - Economics/Management Science KW - Operations Research/Decision Theory KW - Statistics for Life Sciences, Medicine, Health Sciences KW - Public Health/Gesundheitswesen KW - Veterinary Medicine KW - Environmental Health KW - Statistical Theory and Methods N1 - Qualitative and Quantitative Risk Analysis -- Risk Analysis: Goals and Methods -- Hazard Identification -- Exposure Assessment -- Dose-Response Modeling and Risk Characterization -- Human Health Risks from Virginiamycin: A Case Study -- Dynamic Modeling and Uncertainty Analysis -- Potential Human Health Benefits of Animal Antibiotics; ZDB-2-SBE N2 - "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 UR - http://dx.doi.org/10.1007/b136472 ER -