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