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Quantitative Microbial Risk Assessment.
Title:
Quantitative Microbial Risk Assessment.
Author:
Haas, Charles N.
ISBN:
9781118910528
Personal Author:
Edition:
2nd ed.
Physical Description:
1 online resource (441 pages)
Contents:
QUANTITATIVE MICROBIAL RISK ASSESSMENT -- Copyright -- Contents -- PREFACE -- CHAPTER 1 MOTIVATION -- Prevalence of Infectious Disease -- Prior Approaches -- Scope of Coverage -- Potential Objectives of a QMRA -- Site-Specific Assessment -- Ensemble of Sites -- Secondary Transmission -- Outbreaks versus Endemic Cases -- References -- CHAPTER 2 MICROBIAL AGENTS AND TRANSMISSION -- Microbial Taxonomy -- Eukaryotes -- Prokaryote -- Viruses -- Prions -- Clinical Characterization -- Microorganisms of Interest -- Viruses -- Bacteria -- Protozoa -- Transmission Routes -- Inhalation -- Dermal Exposure -- Oral Ingestion -- References -- CHAPTER 3 RISK ASSESSMENT PARADIGMS -- Chemical Risk Assessment: National Academy of Sciences Paradigm -- Ecological Risk Assessment -- Approaches for Assessing Microbial Risks -- Background -- The QMRA Framework -- Hazard Identification -- Dose-Response Assessment -- Exposure Assessment -- Risk Characterization -- Risk Management -- Development of the QMRA Framework and Processes -- QMRA and the Safety of Water -- QMRA, Food Safety, and the HACCP System -- References -- CHAPTER 4 CONDUCTING THE HAZARD IDENTIFICATION (HAZ ID) -- Identifying and Diagnosing Infectious Disease -- Health Outcomes Associated with Microbial Infections -- Sensitive Populations -- Women during Pregnancy, Neonates, and Young Babies -- Diabetes -- The Elderly -- The Immunocompromised -- Databases for Statistical Assessment of Disease -- ICD Codes -- Waterborne and Foodborne Outbreaks -- Epidemiological Methods for Undertaking HAZ ID -- Controlled Epidemiological Investigations -- HAZ ID Data Used in the Risk Assessment Process -- Recommendations for Updating Quantitative Data for HAZ ID Information -- References -- CHAPTER 5 ANALYTICAL METHODS AND THE QMRA FRAMEWORK: DEVELOPING OCCURRENCE AND EXPOSURE DATABASES -- Introduction.

Approaches for Developing Occurrence and Exposure Databases -- Overview of Methodological Issues -- Sampling Water -- Sampling Surfaces and Food -- Sampling Aerosols -- Specific Techniques for Bacteria, Protozoa, and Viruses -- Bacteria -- Protozoa -- Viruses -- Molecular Techniques -- Probes (FISH) -- Typing -- Metagenomics -- PCR and Quantitative PCR -- References -- CHAPTER 6 EXPOSURE ASSESSMENT -- Conducting the Exposure Assessment -- Characterizing Concentration/Duration Distributions -- Random (Poisson) Distributions of Organisms -- Estimation of Poisson Mean in Count Assay (Constant and Variable Volumes) -- Count Assay with Upper Limits -- Estimation with Quantal Assay -- Goodness of Fit to Poisson: Plate Assay -- Goodness of Fit: MPN -- Confidence Limits: Likelihood -- Implications for Risk Assessment -- Consumption Distributions -- Systematic Subpopulation Differences -- Afterword -- Appendix -- Microsoft Excel -- MATLAB -- R -- References -- CHAPTER 7 PREDICTIVE MICROBIOLOGY -- Objective -- Basic First-Order Processes and Deviations -- Biological and Physical Bases for Deviations -- Physical Removal -- Types of Decay Processes -- General Forms of Decay and Reasons for Nonlinearity -- Spontaneous/Endogenous -- Chemical Agents -- Thermally Induced -- Ionizing and Nonionizing Radiation -- Predation and Antagonism -- Types of Growth Processes -- Mathematical Modeling of Growth Curves -- Substrate Dependency -- Structured Growth Models -- Incorporation of Decay into Growth Models -- Systems Biology Approaches -- Dependence of Growth Parameters on Other Environmental Variables -- Interacting Populations -- Data Sources -- References -- CHAPTER 8 CONDUCTING THE DOSE-RESPONSE ASSESSMENT -- Plausible Dose-Response Models -- Framework for Mechanistic Dose-Response Relationships -- Exponential Dose-Response Model -- Beta-Poisson Dose-Response Model.

Simple Threshold Models -- Negative Binomial Dose Distributions -- Variable Threshold Models -- Other Mixture Models -- Biological Arguments for One-Hit Models -- Empirical Models -- Fitting Available Data -- Types of Data Sets -- Potential Impacts of Immune Status -- Relationship between Dose and Severity (Morbidity and Mortality) -- Morbidity Ratio (PD:I) -- Mortality Ratio -- Reality Checking: Validation -- Validation: 1993 Milwaukee Outbreak -- Use of Indicators and Other Proxy Measures in Dose-Response -- Indicator Methods -- Molecular Methods -- Advanced Topics in Dose-Response Modeling -- Dose-Response-Time Models -- Physiological Models -- Appendix -- References -- CHAPTER 9 UNCERTAINTY -- Point Estimates of Risk -- Terminology: Types of Uncertainty -- Sources of Uncertainty -- Sources of Variability -- Variability that is Uncertain -- Approaches to Quantify Parametric Uncertainty -- Likelihood -- Bootstrap -- Other Methods -- Applications -- Exposure Assessment -- Dose-Response Assessment -- Combining Parametric Uncertainty from Multiple Sources -- Propagation Methods -- Monte Carlo Analyses -- Overall Risk Characterization Example -- Second-Order Methods -- Model Uncertainty and Averaging -- References -- CHAPTER 10 POPULATION DISEASE TRANSMISSION -- Introduction: Models for Population and Community Illnesses -- Basic SIR Model -- Incubation Period -- Duration of Illness -- Secondary Cases -- Impact of Immunity -- Outbreak Detection -- References -- CHAPTER 11 RISK CHARACTERIZATION AND DECISION MAKING -- Introduction -- Valuing Residual Outcomes -- Classical Economics -- DALYs and QALYs -- Decision Making -- Cost-Benefit Analysis -- Multivariate Approaches -- Other Aspects Entering into a Decision -- Equity and Justice Aspects -- References -- INDEX.
Abstract:
Provides the latest QMRA methodologies to determine infection risk cause by either accidental microbial infections or deliberate infections caused by terrorism  Reviews the latest methodologies to quantify at every step of the microbial exposure pathways, from the first release of a pathogen to the actual human infection  Provides techniques on how to  gather information, on how each microorganism moves through the environment, how to determine their survival rates on various media, and how people are exposed to the microorganism  Explains how QMRA can be used as a tool to measure the impact of interventions and identify the best policies and practices to protect public health and safety  Includes new information on genetic methods  Techniques use to develop risk models for drinking water, groundwater, recreational water, food and pathogens in the indoor environment.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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