Quantitative Health Risk Analysis Methods

Quantitative Health Risk Analysis Methods PDF Author: Louis Anthony Cox Jr.
Publisher: Springer Science & Business Media
ISBN: 0387261184
Category : Medical
Languages : en
Pages : 363

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Book Description
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. In 2001, the United States FDA’s Center for Veterinary Medicine (CVM) (FDA-CVM, 2001) published a risk assessment model for potential adverse human health consequences of using a certain class of antibiotics, fluoroquinolones, to treat flocks of chickens with fatal respiratory disease caused by infectious bacteria. CVM’s concern was that fluoroquinolones are also used in human medicine, raising the possibility that fluoroquinolone-resistant strains of bacteria selected by use of fluoroquinolones in chickens might infect humans and then prove resistant to treatment with human medicines in the same class of antibiotics, such as ciprofloxacin. As a foundation for its risk assessment model, CVM proposed a dramatically simple approach that skipped many of the steps in traditional risk assessment. The basic idea was to assume that human health risks were directly proportional to some suitably defined exposure metric. In symbols: Risk = K × Exposure, where “Exposure” would be defined in terms of a metric such as total production of chicken contaminated with fluoroquinolone-resistant bacteria that might cause human illnesses, and “Risk” would describe the expected number of cases per year of human illness due to fluoroquinolone-resistant bacterial infections caused by chicken and treated with fluoroquinolones.

Quantitative Environmental Risk Analysis for Human Health

Quantitative Environmental Risk Analysis for Human Health PDF Author: Robert A. Fjeld
Publisher: John Wiley & Sons
ISBN: 1119675405
Category : Science
Languages : en
Pages : 532

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Book Description
QUANTITATIVE ENVIRONMENTAL RISK ANALYSIS FOR HUMAN HEALTH An updated edition of the foundational guide to environmental risk analysis Environmental risk analysis is a systematic process essential for the evaluation, management, and communication of the human health risk posed by the release of contaminants to the environment. Performed correctly, risk analysis is an essential tool in the protection of the public from the health hazards posed by chemical and radioactive contaminants. Cultivating the quantitative skills required to perform risk analysis competently is a critical need. Quantitative Environmental Risk Analysis for Human Health meets this need with a thorough, comprehensive coverage of the fundamental knowledge necessary to assess environmental impacts on human health. It introduces readers to a robust methodology for analyzing environmental risk, as well as to the fundamental principles of uncertainty analysis and the pertinent environmental regulations. Now updated to reflect the latest research and new cutting-edge methodologies, this is an essential contribution to the practice of environmental risk analysis. Readers of the second edition of Quantitative Environmental Risk Analysis for Human Health will also find: Detailed treatment of source and release characterization, contaminant migration, exposure assessment, and more New coverage of computer-based analytical methods A new chapter of case studies providing actual, real-world examples of environmental risk assessments Quantitative Environmental Risk Analysis for Human Health is must-have for graduate and advanced undergraduate students in civil engineering, environmental engineering, and environmental science, as well as for risk analysis practitioners in industry, environmental consultants, and regulators.

Encyclopedia of Quantitative Risk Analysis and Assessment

Encyclopedia of Quantitative Risk Analysis and Assessment PDF Author:
Publisher: John Wiley & Sons
ISBN: 0470035498
Category : Mathematics
Languages : en
Pages : 2163

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Book Description
Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.

Risk Analysis

Risk Analysis PDF Author: David Vose
Publisher: John Wiley & Sons
ISBN: 0470512849
Category : Business & Economics
Languages : en
Pages : 754

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Book Description
Risk Analysis concerns itself with the quantification of risk, the modeling of identified risks and how to make decisions from those models. Quantitative risk analysis (QRA) using Monte Carlo simulation offers a powerful and precise method for dealing with the uncertainty and variability of a problem. By providing the building blocks the author guides the reader through the necessary steps to produce an accurate risk analysis model and offers general and specific techniques to cope with most modeling problems. A wide range of solved problems is used to illustrate these techniques and how they can be used together to solve otherwise complex problems.

Risk Analysis of Complex and Uncertain Systems

Risk Analysis of Complex and Uncertain Systems PDF Author: Louis Anthony Cox Jr.
Publisher: Springer Science & Business Media
ISBN: 0387890149
Category : Business & Economics
Languages : en
Pages : 457

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Book Description
In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies. It develops and illustrates QRA methods for complex and uncertain biological, engineering, and social systems – systems that have behaviors that are just too complex to be modeled accurately in detail with high confidence – and shows how they can be applied to applications including assessing and managing risks from chemical carcinogens, antibiotic resistance, mad cow disease, terrorist attacks, and accidental or deliberate failures in telecommunications network infrastructure. This book was written for a broad range of practitioners, including decision risk analysts, operations researchers and management scientists, quantitative policy analysts, economists, health and safety risk assessors, engineers, and modelers.

Quantitative Health Risk Analysis Methods

Quantitative Health Risk Analysis Methods PDF Author: Louis Anthony Cox Jr.
Publisher: Springer Science & Business Media
ISBN: 0387261184
Category : Medical
Languages : en
Pages : 363

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Book Description
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. In 2001, the United States FDA’s Center for Veterinary Medicine (CVM) (FDA-CVM, 2001) published a risk assessment model for potential adverse human health consequences of using a certain class of antibiotics, fluoroquinolones, to treat flocks of chickens with fatal respiratory disease caused by infectious bacteria. CVM’s concern was that fluoroquinolones are also used in human medicine, raising the possibility that fluoroquinolone-resistant strains of bacteria selected by use of fluoroquinolones in chickens might infect humans and then prove resistant to treatment with human medicines in the same class of antibiotics, such as ciprofloxacin. As a foundation for its risk assessment model, CVM proposed a dramatically simple approach that skipped many of the steps in traditional risk assessment. The basic idea was to assume that human health risks were directly proportional to some suitably defined exposure metric. In symbols: Risk = K × Exposure, where “Exposure” would be defined in terms of a metric such as total production of chicken contaminated with fluoroquinolone-resistant bacteria that might cause human illnesses, and “Risk” would describe the expected number of cases per year of human illness due to fluoroquinolone-resistant bacterial infections caused by chicken and treated with fluoroquinolones.

Handbook of Safety Principles

Handbook of Safety Principles PDF Author: Niklas Möller
Publisher: John Wiley & Sons
ISBN: 1118950690
Category : Business & Economics
Languages : en
Pages : 836

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Book Description
Presents recent breakthroughs in the theory, methods, and applications of safety and risk analysis for safety engineers, risk analysts, and policy makers Safety principles are paramount to addressing structured handling of safety concerns in all technological systems. This handbook captures and discusses the multitude of safety principles in a practical and applicable manner. It is organized by five overarching categories of safety principles: Safety Reserves; Information and Control; Demonstrability; Optimization; and Organizational Principles and Practices. With a focus on the structured treatment of a large number of safety principles relevant to all related fields, each chapter defines the principle in question and discusses its application as well as how it relates to other principles and terms. This treatment includes the history, the underlying theory, and the limitations and criticism of the principle. Several chapters also problematize and critically discuss the very concept of a safety principle. The book treats issues such as: What are safety principles and what roles do they have? What kinds of safety principles are there? When, if ever, should rules and principles be disobeyed? How do safety principles relate to the law; what is the status of principles in different domains? The book also features: • Insights from leading international experts on safety and reliability • Real-world applications and case studies including systems usability, verification and validation, human reliability, and safety barriers • Different taxonomies for how safety principles are categorized • Breakthroughs in safety and risk science that can significantly change, improve, and inform important practical decisions • A structured treatment of safety principles relevant to numerous disciplines and application areas in industry and other sectors of society • Comprehensive and practical coverage of the multitude of safety principles including maintenance optimization, substitution, safety automation, risk communication, precautionary approaches, non-quantitative safety analysis, safety culture, and many others The Handbook of Safety Principles is an ideal reference and resource for professionals engaged in risk and safety analysis and research. This book is also appropriate as a graduate and PhD-level textbook for courses in risk and safety analysis, reliability, safety engineering, and risk management offered within mathematics, operations research, and engineering departments. NIKLAS MÖLLER, PhD, is Associate Professor at the Royal Institute of Technology in Sweden. The author of approximately 20 international journal articles, Dr. Möller's research interests include the philosophy of risk, metaethics, philosophy of science, and epistemology. SVEN OVE HANSSON, PhD, is Professor of Philosophy at the Royal Institute of Technology. He has authored over 300 articles in international journals and is a member of the Royal Swedish Academy of Engineering Sciences. Dr. Hansson is also a Topical Editor for the Wiley Encyclopedia of Operations Research and Management Science. JAN-ERIK HOLMBERG, PhD, is Senior Consultant at Risk Pilot AB and Adjunct Professor of Probabilistic Riskand Safety Analysis at the Royal Institute of Technology. Dr. Holmberg received his PhD in Applied Mathematics from Helsinki University of Technology in 1997. CARL ROLLENHAGEN, PhD, is Adjunct Professor of Risk and Safety at the Royal Institute of Technology. Dr. Rollenhagen has performed extensive research in the field of human factors and MTO (Man, Technology, and Organization) with a specific emphasis on safety culture and climate, event investigation methods, and organizational safety assessment.

Quantitative Risk Assessment

Quantitative Risk Assessment PDF Author: Terje Aven
Publisher: Cambridge University Press
ISBN: 1139496433
Category : Mathematics
Languages : en
Pages : 225

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Book Description
Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action.

Risk Analysis Foundations, Models, and Methods

Risk Analysis Foundations, Models, and Methods PDF Author: Louis Anthony Cox Jr.
Publisher: Springer Science & Business Media
ISBN: 1461508479
Category : Business & Economics
Languages : en
Pages : 564

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Book Description
Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.

CRISC Review Manual 6th Edition

CRISC Review Manual 6th Edition PDF Author: Isaca
Publisher:
ISBN: 9781604203714
Category :
Languages : en
Pages :

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Book Description


Soft Computing for Complex Multiple Criteria Decision Making

Soft Computing for Complex Multiple Criteria Decision Making PDF Author: Ignacy Kaliszewski
Publisher: Springer Science & Business Media
ISBN: 0387301771
Category : Business & Economics
Languages : en
Pages : 183

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Book Description
This book concentrates on providing technical tools to make the user of Multiple Criteria Decision Making (MCDM) methodologies independent of bulky optimization computations. These bulky computations have been a necessary, but limiting, characteristic of interactive MCDM methodologies and algorithms. The book removes these limitations of MCDM problems by reducing a problem's computational complexity. The result is a wider and more functional general framework for presenting, teaching, implementing and applying a wide range of MCDM methodologies.