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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 />

T2-G.3 Roh, S; McComas, K*; Decker, D; Rickard, L; Cornell<br />

University; sr767@cornell.edu<br />

Perils and Promises of One Health <strong>Risk</strong> Messages about<br />

Lyme Disease<br />

The next several decades are predicted to witness increasing<br />

prevalence of zoonotic diseases; however, not everyone will<br />

experience these risks equally. One such disease is Lyme<br />

disease, which is a growing risk to many but not all U.S.<br />

regions. Using a randomized experiment based on a nationally<br />

representative sample of U.S. adults (N = 460), we examine<br />

how respondents react to messages about Lyme disease<br />

depending on its prevalence in their state. Additionally, in<br />

support of our ongoing research program that examines ways<br />

to communicate about the interconnectedness of human,<br />

environmental, and wildlife health (e.g., One Health), we<br />

investigate how the attribution of responsibility <strong>for</strong> Lyme<br />

disease and its temporal proximity influences perceptions of<br />

disease risk. Respondents received one of four messages<br />

varying the temporal proximity (today vs. in the next ten years)<br />

and responsibility (wildlife vs. human and environmental<br />

factors) <strong>for</strong> Lyme disease. We used CDC data to categorize<br />

respondents as living in high, medium, or low prevalence<br />

states. The multi-level modeling shows the temporal frame ×<br />

responsibility frame × prevalence (fixed effects) interactions,<br />

suggesting some perils and promises of One Health risk<br />

messages. Among them, respondents living in low prevalence<br />

states tended to see the risks of Lyme disease as decreasing<br />

when they read the message blaming wildlife behavior and<br />

using a temporally distal frame. Conversely, the same message<br />

resulted in increased risk perceptions among respondents living<br />

in mid-prevalence. Respondents living in high prevalence states<br />

who read the One Health message with a temporally proximal<br />

frame, which we might consider the most scientifically accurate<br />

message, tended to see the risks as decreasing. We consider<br />

these results in light of ef<strong>for</strong>ts seeking to enhance risk<br />

communication of Lyme disease, as well as the implications of<br />

One Health risk messages. We also discuss plausible<br />

mechanisms of the observed message effects.<br />

M4-I.2 Rose, SM*; Handschy, MA; Apt, J; CARNEGIE MELLON<br />

UNIVERSITY, ENDURING ENERGY LLC; srose@cmu.edu<br />

Estimating the probability of extreme low-wind periods in<br />

the central United States<br />

We estimate the probabilities of extreme low-wind-power<br />

events across regions ranging in size from tens to a few<br />

thousand kilometers. We first estimate the distributions of<br />

aggregate wind power <strong>for</strong> a range of aggregation area sizes<br />

using historical wind speed data and semi-empirical wind speed<br />

data from meteorological reanalysis projects. We then derive<br />

similar distributions theoretically by aggregating the output of<br />

individual wind farms modeled by correlated probability<br />

distributions. In both approaches, we attempt to characterize<br />

how the tail of the distribution of aggregate power changes as a<br />

function of the number of wind farms and the separation<br />

between them. These estimates will aid electrical grid<br />

operators in determining the quantity of conventional power<br />

that must be available over the long term as the penetration of<br />

wind power increases, and will aid in understanding<br />

debt-financing risks <strong>for</strong> wind project development.<br />

T2-J.1 Rosenstein, AB*; Mori, CS; Collier, TK; Ruder, E; <strong>Risk</strong><br />

Assessment Consultant, Industrial Economics Incorporated<br />

(IEc); envriskexpabr@aol.com<br />

Review of Marine Mammal Inhalation Toxicity <strong>for</strong><br />

Petroleum-Related Compounds: Potential Applications to<br />

<strong>Risk</strong> Assessment<br />

After a major oil spill, chemical exposures may have health<br />

impacts <strong>for</strong> marine mammals, both individually and at<br />

population levels. In the sparse literature reporting health<br />

effects of petroleum exposure in marine mammals, exposure<br />

levels are not usually quantified and exposure routes are often<br />

unspecified or consist of concurrent inhalation, ingestion, and<br />

dermal exposures. It has been hypothesized that, following oil<br />

spills, inhalation of petroleum-associated compounds may be of<br />

most concern <strong>for</strong> causing health impacts in marine mammals,<br />

due to the time spent at the air-water interface where the<br />

greatest concentrations of volatile hydrocarbons are found.<br />

Determination of inhalation toxicity is complicated because<br />

different sources of oil consist of different mixtures of volatile<br />

compounds that are emitted in varying concentrations to the air<br />

overlying a spill. In order to help assess marine mammal<br />

inhalation toxicity, published inhalation toxic effect levels<br />

(TELs) <strong>for</strong> individual petroleum-related compounds from<br />

laboratory studies have been compiled. We review inhalation<br />

TELs <strong>for</strong> individual petroleum-associated compounds, discuss<br />

the potential application of these TELs to marine mammal risk<br />

assessments following oil spills, and describe possible<br />

approaches <strong>for</strong> adjusting laboratory animal TELs to marine<br />

mammals.<br />

M4-H.4 Rosoff, H*; John, R; Cui, T; University of Southern<br />

Cali<strong>for</strong>nia, CREATE; rosoff@usc.edu<br />

To transaction online or to not transaction online:<br />

Dilemmas involving privacy, security and identify theft<br />

As internet transactions continue to become more pervasive,<br />

the intersection between trust, privacy, convenience, and<br />

security also becomes more important. For instance, individuals<br />

regularly are drawn to the convenience of conducting financial<br />

transactions online, whether it is <strong>for</strong> e-commerce, online<br />

banking, or bill payments. However, does the lack of protection<br />

(e.g. limited identity authentication) or too much protection<br />

(e.g. too rigorous authentication) alter an individual’s<br />

preference <strong>for</strong> convenience? Similarly, when engaging in online<br />

transactions there is a certain amount of trust that the<br />

transaction occurs as intended. On one level this involves<br />

individuals trusting that purchased merchandise will arrive on<br />

time or that ATMs with distribute money and debit funds<br />

appropriately. This also pertains to trusting that the<br />

in<strong>for</strong>mation exchanged is both secure and privacy is respected<br />

(e.g. in<strong>for</strong>mation is not shared with third parties). The question<br />

remains, do individuals no longer trust systems and cease to<br />

engage in online transactions? We present the results of a study<br />

that evaluates the tradeoffs between trust, privacy,<br />

convenience, and security in varied online financial<br />

transactions. We also consider how the implementation of<br />

various cyber policies may or may not impact individual<br />

decision making relative to these tradeoffs.<br />

December 8-11, 2013 - Baltimore, MD

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