W2-I.1 Woodard JD, Pavlista AD, Schnitkey GD, Burgener PA, Ward KA; woodardjoshua@gmail.comCornell University/Texas A&M University, University of Nebraska, University of Illinois,Windsor Strategy PartnersMODELING SKIP-ROW CORN RISK USING EXPERIMENTAL TRIALDATA: PRODUCTION, INSURANCE, AND ECONOMIC IMPLICA-TIONSSkip-row planting practices-which may more efficiently ration soil moisture tocrops throughout the growing season-are sometimes employed in the production ofdryland crops in drought-prone areas, and have the potential to reduce risk and enhanceyields relative to conventional fully planted practices when moisture conditionsare suboptimal. The United States Department of Agriculture-<strong>Risk</strong> ManagementAgency (USDA-RMA)-the agency which administers the Federal Crop Insurance<strong>Program</strong>-began offering insurance <strong>for</strong> skip-row corn in selected areas in 2008, however,several concerns arose about how insurance <strong>for</strong> this practice should be appropriatelytreated. The purpose of this study is to assess the risk and production characteristicsof skip-row corn relative to conventional practices in the Central GreatPlains region, focusing on both yield distribution impacts and economic implications<strong>for</strong> insurance programs and technology adoption. Since skip-row practices are newto the region, experience data are limited. To alleviate this problem, side-by-sideskip-row corn agronomic trial data (N=270) are augmented with a large producerlevel dataset consisting 130,080 conventional yield observations from 1996-2008 byemploying a multivariate nonparametric simulation technique to derive skip-row yielddistributions and insurance rates. Adoption of skip-row practices is found to increasemean yields and limit the severity of yield losses in areas prone to drought, and alsoresult in reductions in expected insurance indemnities in excess of 50% in typicalcases. The insurance rules currently in use by the USDA-RMA are also evaluatedand found to have market-distorting impacts which crowd-out skip-row technologyadoption, which results in increased risk exposure to the government, producers, andprivate insurers. From an economic and actuarial standpoint, this is troubling sinceit opens the door adverse selection and other market distortions and inefficiencies.W3-E.4 Wu F, Liu Y, Khlangwiset P; few8@pitt.eduUniversity of PittsburghGLOBAL BURDEN OF DISEASE CAUSED BY FOODBORNE TOXINS:USE OF BIOMARKERS VS. DIETARY RECALL AND MARKET SAM-PLESFoodborne toxins, including metals and metalloids as well as toxins of fungal,bacterial, and algal origin, can cause acute and chronic diseases in humans worldwide.Until recently, human exposure to foodborne toxins was measured almost exclusivelyin one of two ways: by questionnaires relying on recall of what and how much had196been eaten, or by measurement of food samples that ideally were representative oftrue exposures. Both of these ways pose potential problems. Dietary recall is often inaccurate,and it can be difficult in many cultures worldwide to take food samples thataccurately represent exposure. In recent years, however, biomarkers to assess foodbornetoxin exposure and effect have been developed, and are increasingly used toestimate human exposures. A case study is described in attempting to estimate globalburden of human disease caused by aflatoxin, a carcinogenic mycotoxin commonin maize and peanuts worldwide. Obtaining accurate exposure estimates in differentcountries is the most difficult part of the risk assessment. In the future, if biomarkersamples can be gathered more easily from populations worldwide, the quality of humanhealth risk assessment from dietary toxins will be much improved. However,collection and interpretation of biomarkers pose new challenges to risk assessment.These will be discussed in light of physical, cultural, and technological issues.P.116 Xu LY, Shu X; xly@bnu.edu.cnState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment,Beijing Normal University, ChinaAGGREGATE RISK ASSESSMENT OF INHALABLE PARTICLE MAT-TERAggregate risk of inhalable particle matters is an important consideration inurban area because of the potential <strong>for</strong> harm and serious disadvantages. The destructionof ecosystems and environmental disasters can occur when the pollutant is hiddenand allowed to aggregate in living creature’ body to high levels. As the sink andsource of atmospheric particle matter pollutants in urban environment, the urbandust can be used as a useful indicator of local air pollutants’ transport, deposition andaggregation. The present paper measures concentration of PAHs of 13 dust samples,which are collected to represents different conditions of three basic aspects of human’sdaily life: travelling, living and dining, The toxic equivalency factors (TEFs)were used to calculate benzo[a]pyrene equivalents ( EBaP) <strong>for</strong> dust samples to assessthe aggregate human health risk of atmospheric particle in daily life. The result of riskassessment indicated that the highest potential health risk of PAHs is found in dustsample of the room under decoration, and the lowest in elevator.T2-A.1 Yang JZ, Kahlor L; zyang5@buffalo.eduSUNY-BuffaloWHAT, ME WORRY? THE ROLE OF AFFECT IN INFORMATIONSEEKINGBased on an augmented version of the <strong>Risk</strong> In<strong>for</strong>mation Seeking and Processing(RISP) Model, this study compares four path models to examine how RISP componentsaccount <strong>for</strong> individuals’ intention to seek or avoid risk in<strong>for</strong>mation relatedto climate change. To further theory development, we examine both positive andnegative affect in their influence on in<strong>for</strong>mation seeking and avoiding. Overall, in<strong>for</strong>-
mation insufficiency, risk perception, and favorable attitude lead to more seeking andless avoiding. In<strong>for</strong>mational subjective norms are positively related to seeking andavoiding consistently, which suggests that one’s social environment has the potentialto strongly influence the way they handle climate change in<strong>for</strong>mation. When negativeaffect is controlled <strong>for</strong>, people with stronger perceived behavioral control are morelikely to seek in<strong>for</strong>mation and less likely to avoid in<strong>for</strong>mation. However, when positiveaffect is controlled <strong>for</strong>, the impact of perceived behavioral control becomes morecomplicated. The highlight of this study shows that even though people who feelnegative about climate change are more likely to seek in<strong>for</strong>mation and less likely toavoid in<strong>for</strong>mation about climate change, those who feel positive about climate changeare much more likely to avoid this in<strong>for</strong>mation. This result contradicts the approachingtendency that positive affect usually generates in a risk context. Together, thesefindings present several means to improve the communication of risk in<strong>for</strong>mationrelated to climate change. That is, it seems important to communicate about climatechange by highlighting the gap between one’s general awareness and actual knowledge,emphasizing potential negative consequences related to climate change, andfostering favorable attitude toward learning about climate change. Nonetheless, it isalso critical to monitor potential audiences’ social environment, perceived ability <strong>for</strong>in<strong>for</strong>mation seeking, and emotional responses related to climate change.T3-E.1 Yang H, Anderson SA; hong.yang@fda.hhs.govCenter <strong>for</strong> Biologics Evaluation and Research, Food and Drug AdministrationRISK ASSESSMENT OF POTENTIAL TRANSMISSION OF VARIANTCREUTZFELDT-JAKOB DISEASE (VCJD) VIA TRANSFUSION IN THEUNITED STATESAs of March 2011, 221 primary vCJD cases (the human counterpart of ‘madcow’ disease acquired though dietary exposure), have been reported worldwide. Mostwere likely acquired in the United Kingdom, France and other countries in Europesince 1980. Four probable secondary vCJD infections via red blood cell transfusionhave also been reported in the UK since 2003. Of concern <strong>for</strong> the US blood supply isthat some donors may have been exposed to the infectious agent and acquired vCJDduring extensive travel or residence in regions where bovine spongi<strong>for</strong>m encephalopathyepidemics occurred. However, to date, no case of transfusion-transmittedvCJD (TTvCJD) in the US has been indentified. FDA has developed risk assessmentmodels to estimate the potential TTvCJD infection in the US and used them to assessthe effectiveness of current donor deferral policies in reducing risk. Due to limitedknowledge and in<strong>for</strong>mation on vCJD prevalence, susceptibility of different humangenotype populations, and the probability of disease transmission through an infecteddonor; the results of the risk assessment are highly uncertain. FDA model results revealthe probability of TTvCJD infection using both a Lower vCJD Case PrevalenceEstimate and a Higher Infection Prevalence Estimate. Preliminary results indicatethat the US TTvCJD risk is low. Current donor deferral policies likely reduced TTvCJDrisk by approximately 90%, with approximately 80% of the remaining residualrisk associated with travel to the UK. The risk assessment model identifies major datagaps and uncertainties associated with TTvCJD risk in the US, in<strong>for</strong>ms FDA riskmanagement decisions, and is an effective tool <strong>for</strong> facilitating risk communication.M4-D.2 Yaroschak PJ; paul.yaroschak@osd.milOffice of the Secretary of DefenseAFTER THE ANALYSIS: RISK MANAGEMENT ACTIONS FOR EMERG-ING CONTAMINANTSThe Department of Defense (DoD) has developed a three-tiered process called“scan-watch-action” <strong>for</strong> emerging contaminants. The process (1) identifies chemicalsand materials with evolving science or regulatory climate, (2) conducts qualitativePhase I Impact Assessments and quantitative Phase II Impact Assessments, and (3)develops risk management options (RMOs) <strong>for</strong> chemicals with high risk to peopleor DoD business functions. An Impact Assessment has some components of arisk analysis modified <strong>for</strong> DoD use. Upon approval of the RMOs by an executivelevel governance council, they become risk management actions (RMAs) as they areimplemented. The RMAs span the spectrum from policy changes to investments inresearch and testing of substitutes. This presentation will describe the status of anumber of key RMAs <strong>for</strong> specific chemicals such as perchlorate, beryllium, naphthalene,lead, and RDX (an explosive compound).T3-F.4 Yemelyanov AM, Yemelyanov AA; ay@canes.gsw.eduGeorgia Southwestern State UniversityCOMPUTER BASED CLASSIFICATION OF PERFORMANCE SHAP-ING FACTORS FOR SAFETY ANALYSISOne of the most important characteristics of the existing models and classificationschemes <strong>for</strong> Human Error <strong>Analysis</strong> (HEA) is how they use different influencingor contributing factors (such as training, working conditions, task load, fatigue, etc.)to determine the operator’s ability to successfully per<strong>for</strong>m the required action. In HumanReliability <strong>Analysis</strong> (HRA) these factors are represented by Per<strong>for</strong>mance ShapingFactors (PSFs) that are used to calculate human error probabilities. The paperdescribes the model <strong>for</strong> erroneous action, which is specifically <strong>for</strong>mulated to presentand classify different interactions of the observed event that is related to the activeerror. In the model the selected set of six PSFs is integrated with the operator’s per<strong>for</strong>manceparameters and, together with the suggested classification scheme, worksefficiently <strong>for</strong> the causal analysis of operator errors, as well as <strong>for</strong> determination ofthe operator’s abilities to prevent errors. The special types of classification algorithmsthat analyze the different stages of the erroneous action, with the use of the correspondinginfluencing factors, are demonstrated. These algorithms use the risk-asfeelingapproach <strong>for</strong> modeling positive and negative effects in operator behavior, and197
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