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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 />

W2-K.1 Hassel, H; Johansson, J*; Lund University;<br />

jonas.johansson@iea.lth.se<br />

Mapping societal functions, flows and dependencies to<br />

strengthen community resilience – results from an initial<br />

study<br />

Communities are becoming increasingly dependent on critical<br />

societal functions and flows, such as energy supply,<br />

transportation of goods and people, school and health care.<br />

Dependencies between these functions and flows are also<br />

increasing. These trends imply that disruptions in the functions<br />

and flows may quickly lead to large societal consequences<br />

through domino effects which may be very difficult to<br />

understand and <strong>for</strong>esee. Understanding the functions, flows<br />

and their dependencies is key in order to increase the resilience<br />

of the communities. Gaining such an understanding requires<br />

systematic mapping of relevant in<strong>for</strong>mation and methods <strong>for</strong><br />

analysis. This paper presents a new method <strong>for</strong> mapping<br />

societal functions, flows, and their dependencies. Such a<br />

method is very useful as part of a comprehensive<br />

community-level risk and vulnerability assessments. The<br />

mapping is conducted by eliciting in<strong>for</strong>mation from actors, both<br />

public and private, that represent critical societal functions.<br />

The mapping method is divided into three main parts: 1)<br />

System-level mapping, including e.g. mapping values/objectives<br />

<strong>for</strong> the system and what societal functions are contributing to<br />

their achievement. 2) Function-specific mapping, including e.g.<br />

mapping values/objectives <strong>for</strong> a specific function and what<br />

activities that must be per<strong>for</strong>med to achieve them, as well as<br />

what flows are dependent on the activities and what the actor is<br />

dependent on to be able to per<strong>for</strong>m the activities), 3)<br />

System-level aggregation, i.e. aggregating and synthesizing the<br />

in<strong>for</strong>mation from step 2 into a holistic picture of a community<br />

or a region. The mapping method has been applied in an initial<br />

study of public and private actors in a specific geographic<br />

region (two different municipalities) in Sweden. From the initial<br />

results a complex picture of functions, flows and dependencies<br />

emerge which stresses the importance of these types of<br />

methods to guide public and private policy makers in governing<br />

risk and vulnerability.<br />

M4-H.5 Hawkins, NL*; Elkins, DA; Janca , A; Simons, J;<br />

Montezemolo, M; Piper, J; Lesely , T; Cox , P ; Susel , I ;<br />

Brzymialkiewicz, C; Department of Homeland Security ;<br />

natasha.hawkins@dhs.gov<br />

DHS’ <strong>Risk</strong>-In<strong>for</strong>med Quadrennial Homeland Security<br />

Review (QHSR)<br />

The Department of Homeland Security is executing its Second<br />

Quadrennial Homeland Security Review in 2013, as required by<br />

law. As part of the initial Preparatory phase of the review, top<br />

risks and risk insights were identified to in<strong>for</strong>m leadership<br />

discussion and guide QHSR studies and analysis. <strong>Risk</strong> analysis<br />

is also required in the Study and <strong>Analysis</strong> phase of the review,<br />

wherein the study teams must conduct risk characterizations to<br />

achieve a baseline understanding of the risks within the study<br />

mission space, and then analyze the costs and benefits of<br />

alternative strategic approaches. Study groups will follow the<br />

DHS Strategy Development and <strong>Analysis</strong> Process to arrive at<br />

conclusions. We will discuss some of the lessons learned,<br />

challenges, and innovative approaches developed to ensure the<br />

continued advancement of DHS’s analysis to in<strong>for</strong>m strategic<br />

decisions.<br />

W4-E.1 Hearl, FJ; National Institute <strong>for</strong> Occupational Safety<br />

and Health; fjh1@cdc.gov<br />

Pandemic Response <strong>for</strong> Workers: Controlling<br />

Occupational <strong>Risk</strong><br />

Protecting the health of the work<strong>for</strong>ce during a pandemic is<br />

important to ensure the health of the nation. Protecting the<br />

work<strong>for</strong>ce involves selecting appropriate control measures and<br />

begins with risk analysis. Control banding, used by industrial<br />

hygienists typically <strong>for</strong> control of chemical substances, presents<br />

a structured framework to guide control selection using<br />

available data, observations, and assumptions based on past<br />

experience and decision logic. The process described in this<br />

paper is an adaption of the control banding model applied to<br />

infectious disease. It is a tool to be used by risk assessors and<br />

occupational health professionals to guide policymakers and<br />

employers in selection of control options and responses over a<br />

wide range of disease entities and job or task settings. The tool<br />

is not designed to be applied mechanically without separately<br />

giving full consideration to the peculiarities of individual<br />

situations and other mitigating factors. These approaches<br />

should be generalizable to other novel pathogens if sufficient<br />

in<strong>for</strong>mation is available on transmissibility and virulence.<br />

W4-E.4 Hearl, F; Boelter, F; Armstrong, T; Rasmuson, J*;<br />

Meier, A; CHEMISTRY & INDUSTRIAL HYGIENE, INC.;<br />

Jim@c-ih.com<br />

<strong>Risk</strong> of Occupational Asbestos Disease Based on<br />

Biomarkers<br />

The reliability of industrial hygiene estimation of cumulative<br />

asbestos exposure to quantitatively predict risk of<br />

asbestos-related mesothelioma and lung cancer, especially at<br />

low exposure levels, is evaluated. This is accomplished by<br />

examining the linearity and precision of industrial hygiene<br />

cumulative asbestos exposure estimates via regression and<br />

ANCOVA correlation analysis with pathological lung tissue<br />

asbestos fiber burden and asbestos body analysis, including the<br />

evaluation of the effect of fiber type. The results are reviewed<br />

in terms of the most commonly applied quantitative asbestos<br />

risk assessment models <strong>for</strong> mesothelioma and lung cancer, with<br />

an emphasis on mesothelioma. The use of asbestos exposure<br />

biomarkers, in general, to qualitatively characterize past<br />

asbestos exposure and risk of disease is also reviewed, with<br />

special emphasis placed on asbestos fiber type. Considerations<br />

in the use of biomarkers, in general, to verify and validate<br />

cumulative asbestos exposure estimates are offered.<br />

December 8-11, 2013 - Baltimore, MD

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