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Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

Abstracts (PDF file, 1.8MB) - Society for Risk Analysis

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SRA 2013 Annual Meeting <strong>Abstracts</strong><br />

M2-H.1 Middleton, JK*; Stoeckel, DM; Nilsen, M; Winkel, D;<br />

Anderson, D; Pals, T; 1, 2, 3, 4 - BATTELLE, 5, 6, -<br />

DEPARTMENT OF HOMELAND SECURITY, SCIENCE AND<br />

TECHNOLOGY DIRECTORATE; middletonj@battelle.org<br />

: A second look at bioterrorism scenarios <strong>for</strong> the<br />

Bioterrorism <strong>Risk</strong> Assessment (BTRA)<br />

The Department of Homeland Security’s Bioterrorism <strong>Risk</strong><br />

Assessment (BTRA) includes a large number of scenarios to<br />

provide a comprehensive assessment of risk to the nation.<br />

Advancements in technology and emergence or re-emergence<br />

of pathogenic organisms require that the scenarios considered<br />

within the assessment be revisited on a regular basis. To<br />

reduce the burden associated with full implementation into the<br />

BTRA and to ensure that including a pathogen, technology, or<br />

target into the BTRA is worth the investment, DHS has tested<br />

applicability of an analytic approach used in the historic<br />

biological research program and has developed a method <strong>for</strong><br />

assessing the potential consequences of a new scenario as a<br />

preliminary assessment. The method minimizes the input data<br />

needed <strong>for</strong> the scenario and simplifies the target considerations<br />

to a few specific targets that provide a reasonable assessment<br />

of potential consequences. This new methodology will be<br />

presented along with an overview of how the method will help<br />

to guide inclusion of scenarios within the BTRA.<br />

T1-A.1 Miles, S*; Dalrymple, K. E.; Madsen, P; Krajewski, J;<br />

University of Iowa; stephanie-miles@uiowa.edu<br />

Finding Words That Work: Assessing Media Coverage of<br />

Water Issues Across Iowa<br />

The past decade has seen a rise in concern <strong>for</strong> water resource<br />

management and policies under the increasing strain from<br />

domestic, agricultural, industrial and recreational use of our<br />

nation’s aquatic resources. Iowa, like many other states, is<br />

investing in research and technology to improve sustainability<br />

practices in hopes that proper management today will provide<br />

abundance in the future. Studies suggest that policy initiatives<br />

created by university researchers and government officials find<br />

more success through engagement with the public to promote<br />

understanding of water sustainability concerns and<br />

participation in community ef<strong>for</strong>ts (Gleick, 2003). Crucial<br />

antecedents to awareness <strong>for</strong> any environmental concern are<br />

knowledge and understanding of the processes, terminology,<br />

and science surrounding the issue. Previous research suggests<br />

that the public obtains basic understandings of science and<br />

technology through exposure to mass media messages<br />

(Friedman, Dunwoody, & Rogers, 1986). This study builds upon<br />

this research by investigating how Iowa newspapers cover<br />

water-related topics with a goal of in<strong>for</strong>ming future research<br />

concerning public knowledge of water sustainability issues and<br />

policies. We examine these research questions using a content<br />

analysis of daily Iowa newspapers with a circulation between<br />

8,470 and 120,654 covering the region of interest. Results shed<br />

light upon the ways that journalists address water issues in<br />

relation to topics covered, such as drought, toxicity problems,<br />

utility sources, recreational uses, and ecological perspectives.<br />

These findings not only contribute to our understanding of<br />

water sustainability coverage, but also provide insight as to<br />

what water related media content Iowa residents are exposed<br />

to in their daily lives. Implications of this research regarding<br />

the potential effects that such media exposure may have on<br />

knowledge of water issues, public opinion towards water use<br />

and regulation, and future support of water policies are<br />

discussed.<br />

T3-I.2 Miller, MK*; Baker, JW; Stan<strong>for</strong>d University;<br />

mahalia@stan<strong>for</strong>d.edu<br />

Simulation approaches <strong>for</strong> assessing the impacts on<br />

equity in a region due to earthquakes<br />

Earthquakes impact different regions and different<br />

demographic groups differently, as evidenced, <strong>for</strong> example, in<br />

the 1989 Loma Prieta Earthquake by the relatively slow<br />

recovery of low-income communities in Watsonville, CA<br />

compared to that of the wealthier surrounding communities. Up<br />

to now, seismic risk analysis has focused on individual locations<br />

or on aggregate measures of network per<strong>for</strong>mance. In this<br />

article we present a method <strong>for</strong> assessing the impacts on equity<br />

in terms of changes in accessibility <strong>for</strong> different geographic and<br />

demographic groups in a region. First, we explain how to<br />

employ an activity-based traffic model to answer a new<br />

question, namely how transportation patterns will shift after<br />

parts of the highway and transit networks are damaged. This<br />

provides us a tool <strong>for</strong> assessing changes in accessibility <strong>for</strong><br />

each different community. The tool also allows policy makers to<br />

quantify the costs and benefits of different mitigation<br />

strategies. Second, we illustrate the framework with a case<br />

study of the San Francisco Bay Area using a state-of-the-art<br />

stochastic catalog of earthquake events. Our findings suggest<br />

that local infrastructure, such as the redundancy of the<br />

highway links, as well as the geographical proximity to active<br />

faults are key predictors of the communities most likely to<br />

experience high losses of accessibility but we identify critical<br />

outliers at particularly high risk, such as San Rafael, CA.<br />

Finally, by analyzing the demographics in travel demand we<br />

compare the expected equity consequences from the full<br />

stochastic catalog of earthquake events both in the current<br />

state of the infrastructure and with two simulated mitigation<br />

strategies, one focusing on mitigating overall average regional<br />

risk and one focusing on reducing extreme demographic group<br />

risks. Thus, this framework will assist private and public policy<br />

makers to improve decisions about risk mitigation by<br />

incorporating an understanding of the impacts on equity.<br />

P.66 Mishra, A*; Lambertini, E; Pradhan, AK; University of<br />

Maryland College Park, MD; amishra1@umd.edu<br />

Foodborne pathogens in leafy greens: Data, predictive<br />

models, and quantitative risk assessments<br />

In the last few years, technological innovations in production,<br />

harvesting, processing, and packaging of fresh produce and<br />

their consumption have increased tremendously in the U.S.<br />

Consumers are eating more fresh produce, purchasing a<br />

broader variety and demanding more convenience products<br />

such as ready-to-eat salads. Fresh produce is generally<br />

consumed raw, making it a high-risk food in terms of pathogen<br />

contamination. A recent study by the Centers <strong>for</strong> Disease<br />

Control and Prevention indicated that in between 1998 and<br />

2008, leafy greens outbreaks accounted <strong>for</strong> 22.3% of foodborne<br />

outbreaks. Contamination with pathogens of fresh produce<br />

including leafy greens has been a major concern to various<br />

stakeholders such as food industry, regulatory agencies, and<br />

consumers. In this study, we per<strong>for</strong>med a structured review of<br />

literature to gain more insight into the available data and<br />

in<strong>for</strong>mation related to contamination sources, predictive<br />

microbial models, and quantitative risk assessment models <strong>for</strong><br />

different pathogens such as Listeria monocytogenes,<br />

Salmonella, Escherichia coli O157:H7 in leafy greens in the<br />

farm-to-table continuum. It was observed that microbial<br />

contamination mostly originated from the pre-harvest<br />

environment. Contamination can effectively be controlled by<br />

storing the leafy greens at appropriate temperature and time,<br />

and by the application of intervention steps such as washing<br />

and irradiation. Several research studies on predictive<br />

modeling and quantitative microbial risk assessments of<br />

pathogens in fresh produce, which are focused on one or more<br />

steps such as irrigation, harvesting, processing, transportation,<br />

storage, and washing, have been reported in the last few years.<br />

We divided those into three categories: pre-harvest models,<br />

storage models, and models related to intervention steps,<br />

primarily washing. Overall, our study provides valuable<br />

in<strong>for</strong>mation to in<strong>for</strong>m future quantitative microbial risk<br />

assessment studies related to leafy greens.<br />

December 8-11, 2013 - Baltimore, MD

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