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Fate and Transport of Zoonotic Bacterial, Viral, and - The Pork Store ...

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<strong>Fate</strong> <strong>and</strong> <strong>Transport</strong> <strong>of</strong> <strong>Zoonotic</strong> <strong>Bacterial</strong>, <strong>Viral</strong>, <strong>and</strong> Parasitic Pathogens during Swine Manure Treatment, Storage, <strong>and</strong> L<strong>and</strong> Application<br />

studies <strong>and</strong> other sources <strong>of</strong> scientific data are<br />

used to estimate microbial distributions in each<br />

compartment <strong>and</strong> to describe the mathematical<br />

relationships that characterize the fate <strong>of</strong> microbes<br />

between compartments. Table 5.1 outlines a<br />

risk assessment framework for estimating the<br />

environmental burden <strong>of</strong> zoonotic pathogens from<br />

swine facilities.<br />

An advantage <strong>of</strong> stochastic modeling is the<br />

ability to quantitatively assess <strong>and</strong> analyze the<br />

roles <strong>of</strong> both data uncertainty <strong>and</strong> variability on<br />

risk estimates. During the hazard identification<br />

<strong>and</strong> exposure assessments, gaps in the scientific<br />

database can be identified, <strong>and</strong> the impact <strong>of</strong> these<br />

gaps on the estimate <strong>of</strong> the burden <strong>of</strong> zoonotic<br />

pathogens in the environment can be evaluated.<br />

<strong>The</strong> results <strong>of</strong> a QRA can be used to identify<br />

research needs that will contribute most effectively<br />

to underst<strong>and</strong>ing the environmental contamination<br />

risks associated with swine production facilities. As<br />

additional scientific data become available, they can<br />

be incorporated into the model easily.<br />

A disadvantage <strong>of</strong> the QRA framework is that<br />

it reduces complex ecological systems to a relatively<br />

simple model <strong>of</strong> microbial fate <strong>and</strong> the resultant<br />

human exposure. Consequently, risk estimates<br />

may not prove to be robust as the underst<strong>and</strong>ing<br />

<strong>of</strong> microbial ecology <strong>and</strong> environmental systems<br />

increases. Nonetheless, the QRA can be used to<br />

estimate the environmental burden <strong>of</strong> zoonotic<br />

pathogens <strong>and</strong> the attendant risks that are too low<br />

to be measured by field studies <strong>and</strong> can help to<br />

identify specific research needs.<br />

In spite <strong>of</strong> a technologically advanced<br />

industry that places emphasis on animal health <strong>and</strong><br />

management, zoonotic pathogens are not likely to<br />

disappear from swine manure management systems.<br />

Although bench top <strong>and</strong> environmental field data<br />

suggest that there may be a biologically significant level<br />

<strong>of</strong> viable pathogens in the environment that may be<br />

associated with modern swine production, these levels<br />

<strong>of</strong>ten are too low to quantify easily. In this setting,<br />

quantitative risk assessment may serve to bridge the gap<br />

between bench top studies <strong>and</strong> environmental science to<br />

provide an estimate <strong>of</strong> the risk that is difficult to assess<br />

using traditional field science methods.<br />

Table 5.1 Components <strong>of</strong> a Quantitative risk Assessment Framework to estimate the human<br />

health risks associated with zoonotic pathogens in the swine production environment<br />

Steps in QRA Conceptual model Variables<br />

Hazard Characterization <strong>of</strong> zoonotic • Stage <strong>of</strong> production<br />

identification pathogens in swine manure • Disease status <strong>of</strong> animals<br />

• Microbe characteristics<br />

Swine waste as a source <strong>of</strong><br />

zoonotic pathogens<br />

•<br />

•<br />

•<br />

Stage <strong>of</strong> production<br />

Prevalence <strong>and</strong> density <strong>of</strong> pathogen in untreated wastes<br />

Pathogen reductions achieved by waste storage <strong>and</strong><br />

Exposure<br />

assessment<br />

Movement from wasteholding<br />

facilities to<br />

environmental media<br />

•<br />

•<br />

•<br />

•<br />

treatment technology<br />

Storage <strong>and</strong> treatment methods<br />

Ecologically-significant processes among environmental<br />

microbes <strong>and</strong> pathogens<br />

Pathogen characteristics<br />

Soil characteristics<br />

• Environmental conditions<br />

Dose-response Biologically-relevant level <strong>of</strong> • Pathogen characteristics<br />

assessment pathogen in environment • Proximity <strong>of</strong> vulnerable resources<br />

Risk<br />

characterization<br />

Environmental risk resulting<br />

from swine-manureassociated<br />

contamination<br />

• Frequency <strong>and</strong> duration <strong>of</strong> environmental contamination<br />

• Pathogen characteristics

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