Quantitative Microbial Risk Assessment
eBook - ePub

Quantitative Microbial Risk Assessment

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Quantitative Microbial Risk Assessment

About this book

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

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Yes, you can access Quantitative Microbial Risk Assessment by Charles N. Haas,Joan B. Rose,Charles P. Gerba in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Environmental Management. We have over one million books available in our catalogue for you to explore.

Chapter 1
Motivation

The prevention of infectious disease transmission from human exposure to contaminated food, water, soil, and air remains a major task of environmental and public health professionals. There are numerous microbial hazards, including exposure via food, water, air, and malicious release of pathogens that may arise. Indeed, some have argued that the property of virulence of human pathogens is one which is favored by evolutionary interactions between pathogens and host populations and therefore will always be of important concern [1]. To make rational decisions in preparing, responding, and recovering from exposures to such hazards, a quantitative framework is of high benefit.
The objective of this book is to comprehensively set forth the methods for assessment of risk from infectious agents transmitted via these routes in a framework that is compatible with the framework for other risk assessments (e.g., for chemical agents) as set forth in standard protocols [2, 3].
In this chapter, information on the occurrence of infectious disease in broad categories will be presented, along with a historical background on prior methods for assessment of microbial safety of food, water, and air. This will be followed by an overview of key issues covered in this book.

Prevalence of Infectious Disease

Outbreaks of infectious waterborne illness continue to occur, although it remains impossible to identify the infectious agent in all cases. For example, in 1991, a waterborne outbreak in Ireland resulting from sewage contamination of water supplies infected about 5000 persons. However, the infectious agent responsible for this outbreak could not be determined [4]. In the United States, it has been estimated that 38 million cases of foodborne infectious disease occur annually with unidentified agents [5].
In the United States, there have typically been three to five reported outbreaks per year in community drinking water systems involving infectious microorganisms, with perhaps up to 10,000 annual cases [6]. The 1994 Milwaukee Cryptosporidium outbreak with over 400,000 cases [7, 8] was a highly unusual event among these statistics. As shown in Figure 1.1, there has been an increasing ability to identify microorganisms responsible for waterborne diseases, and it is expected that with advances in molecular biology, this will increase.
c1-fig-0001
Figure 1.1 Percentages of outbreaks associated with public water systems (n = 680) by time period 1971–2006 that had unknown etiologies based on data from Ref. [6].
There are substantially more outbreaks and cases of foodborne infectious diseases than are reported. Table 1.1 summarizes reports of U.S. cases of principal microbial infectious foodborne illnesses for two 5-year periods (1988–1992 and 2002–2006). There is a mix of causal agents, including bacteria, virus, and protozoa. It is noteworthy that (as in the case of waterborne outbreaks) the frequency of outbreaks of unknown etiology has dramatically decreased but the frequency of outbreaks associated with norovirus has dramatically increased. These changes are due in part to the ability to better identify causal agents (e.g., via molecular methods).
Table 1.1 Comparison of Five-Year Averages for Common Foodborne Reported Outbreaks
Source: From Refs. [9, 10].
Agent Annual Average 1988–1992 Annual Average 2002–2006
Cases Outbreaks Cases Outbreaks
Campylobacter 99.6 4.4 624 22
Escherichia coli 48.8 2.2 481a 30a
Salmonella 4,235.4 109.8 3,475 144
Shigella 957.6 5 495 12
Staphylococcus aureus 335.6 9.4 554 25
Hepatitis 421.8 8.6 238 1
Listeria monocytogenes 0.4 0.2 22 2
Giardia 36.8 1.4 2 1
Norovirus 58.4 0.4 10,854 338
Vibrio (all) 11.4 1.8 114 5
Unknown etiologies 40,483 1,422 4,052 30
a Include both Shiga toxigenic and enterotoxigenic.
It is generally recognized that reported outbreaks, either of water- or foodborne infectious disease, represent only a small fraction of the total population disease burden. However, particularly in the United States, voluntary reporting systems and the occurrence of mild cases (for whic...

Table of contents

  1. Cover
  2. Title page
  3. Copyright page
  4. Preface
  5. Chapter 1: Motivation
  6. Chapter 2: Microbial Agents and Transmission
  7. Chapter 3: Risk Assessment Paradigms
  8. Chapter 4: Conducting the Hazard Identification (HAZ ID)
  9. Chapter 5: Analytical Methods and the Qmra Framework
  10. Chapter 6: Exposure Assessment
  11. Chapter 7: Predictive Microbiology
  12. Chapter 8: Conducting the Dose–Response Assessment
  13. Chapter 9: Uncertainty
  14. Chapter 10: Population Disease Transmission
  15. Chapter 11: Risk Characterization and Decision Making
  16. Index
  17. End User License Agreement