T3-H.2 Montello BM, Shroy BC, Buchta DA, Hawkins BE, Gooding R, KolakowskiJ, McGarvey D; montellob@battelle.orgBattelle Memorial Institute, DHS CSACCHEMICAL SUPPLY CHAIN INCIDENT MODEL FOR HUMANHEALTH CONSEQUENCE ESTIMATESChemical incidents, such as the methyl isocyanate incident in Bhopal, India, thehydrogen sulfide incident in Chongqing, China, and the chlorine rail car accidents inGraniteville, South Carolina have demonstrated consequences of releases along thechemical supply chain (CSC). Additionally, media hype combined with exaggerationor misinterpretation of consequence assessments may increase the likelihood of a terroristattack on chemical industry. In response, the Chemical Security <strong>Analysis</strong> Centerof the Department of Homeland Security has developed the Chemical Infrastructure<strong>Risk</strong> Assessment to quantify the risks associated with terrorist attacks on the CSC. Inorder to quantify risk, human health consequences were estimated from releases andsubsequent dispersion of toxic industrial chemicals from targets, such as chemicalproduction facilities, bulk highway transport vehicles, rail cars, barges, and pipelines.To that end, an outdoor inhalation consequence model that incorporates key aspectsof source terms, plume dispersion, meteorology, population modeling, and releaselocation was developed. High resolution geographic in<strong>for</strong>mation systems (GIS) populationdensity and land usage data (e.g., roads, rail lines, and navigable waterways),combined with a predictive meteorological map capable of estimating the likelihoodof meteorological conditions, allowed <strong>for</strong> accurate location of CSC releases and theoverlaying of dispersion plumes on populations to calculate human exposures. Dispersionplumes were extracted from Hazard Prediction Assessment Capability softwareusing an interpolative lookup table algorithm that dynamically created a libraryof exposure isopleths over a range of continuous and discrete dimensions. The generalframework allows <strong>for</strong> many future applications, such as estimating the risk alongan entire rail-line or reduction in risk caused by new policy restricting on tanker truckscarrying hazardous materials around specific urban areas.M2-I.4 Morgan KM, Spires C, Golden N, Zablotsky-Kufel J, Cole D, HoekstraM; kara.morgan@fda.hhs.govUS FDAINTRODUCTION TO THE INTERAGENCY FOOD SAFETY ANALYT-ICS COLLABORATIONA combination of the great uncertainty surrounding in<strong>for</strong>mation about attributionand the importance of this in<strong>for</strong>mation to in<strong>for</strong>m and evaluate risk-baseddecision making at the regulatory agencies has lead to a shared interest among federalagencies in having defensible attribution in<strong>for</strong>mation. In order to focus the work ofthe collaboration, each agency wrote a statement of needs <strong>for</strong> attribution. The areasof overlap among the three agencies were identified as the priority areas <strong>for</strong> IFSAC148to focus on. This session will provide background on the development of IFSACE,and review the Strategic Plan developed to describe the needs and the proposed path<strong>for</strong>ward.W3-G.3 Mukherjee D, Bandera E, Buckley B, Isukapalli SS; dwaipayan.chem@gmail.comEnvironmental & Occupational Health Sciences InstitutePHYSIOLOGICALLY BASED TOXICOKINETIC MODELING OFZEARALENONE AND ZERANOL: ESTIMATING DIETARY EXPO-SURE AND TOXICITY FOR INDIVIDUALS AT RISKZearalenone (ZEA) and its metabolite zeranol (ZAL) are fungal contaminantspresent in food crops and are known to be estrogen agonists. A novel PhysiologicallyBased Toxicokinetic (PBTK) model <strong>for</strong> zearalenone and zeranol and their primarymetabolites zearalenol and zearalanone in urine has been developed <strong>for</strong> humans withthe help of mechanistic data and parameter values from the literature. Zearalenone, amycotoxin produced by Fusarium fungi is a widespread contaminant in grains, fruits,vegetables, and their products or by carryover to animal tissues, milk, and eggs afterintake of contaminated feedstuff. Exposure to zearalenone has been estimated fromdaily intake values <strong>for</strong> different dietary habits in the population. Zeranol, which is ametabolite of zearalenone in mammals, and is 5-6 times more potent than estrogen,is also added as a growth additive in beef in the US and Canada. The combined exposureto both compounds from dietary intake has been estimated based on dietary dataof USA across various population segments and their toxicokinetics has been modeledin humans. The PBTK model considers oral intake doses received through dailyfood intake and explicitly models the metabolism in the gastrointestinal and hepaticsystems causing changes in the final cumulative toxic effects. Metabolic events likedehydrogenation and glucuronidation, which have direct effects on the accumulationand elimination of the toxic compounds, have been quantified. The model uses invitrometabolic data and applies them to the whole body model based on individualhepatic enzyme contents. The PBTK model considers urinary and fecal excretion andbiliary recirculation and compares the predicted biomarkers of blood, urinary andfecal concentrations with published experimental results. The model developed herecan be used <strong>for</strong> better understanding the health effects due to daily dietary exposureto Fusarium mycotoxins, especially in pre-pubertal females.M3-A.1 Mumpower JL, Shi L, Vedlitz A; jmumpower@bushschool.tamu.eduTexas A&M UniversityPERCEIVED RISKINESS AND WTP OF FOUR TERRORIST THREATSA 2009 national telephone survey of 924 U.S. adults focused on perceptionsof terrorism/homeland security issues. Respondents rated severity of effects, levelof understanding, number affected, and likelihood of four terrorist threats: poisonedwater supply; explosion of a small nuclear device; an airline attack similar to 9/11; and
explosion of a bomb in a building, train, subway, or highway. Respondents rated thePerceived <strong>Risk</strong>iness and WTP <strong>for</strong> dealing with each threat. Demographic, attitudinal,and party affiliation data were collected. Psychometric variables were far strongerpredictors of both Perceived <strong>Risk</strong>iness and WTP than were demographic ones. ForPerceived <strong>Risk</strong>iness, the adjusted R-squared <strong>for</strong> regression models using demographicvariables as predictors ranged from .06 to .11. For each threat, White Male status wasa significant negative predictor; Evangelical status was a significant positive predictor.The adjusted R-squared values <strong>for</strong> models with psychometric predictor variables -Severity, Understood, Number Affected, and Likelihood -ranged from .49 to .61. Allfour predictors were significant <strong>for</strong> each threat, with one exception. For WTP, theadjusted R-squared using demographic variables ranged from .02 to .07. White Malestatus was a significant negative predictor and Evangelical status was a significantpositive predictor <strong>for</strong> each threat; Education Level was a significant negative predictor<strong>for</strong> three threats. The adjusted R-squared <strong>for</strong> models using psychometric predictorswere higher, ranging from .29 to .41. All four psychometric variables were significantpredictors <strong>for</strong> each threat. A model predicting WTP as a simple function of Perceived<strong>Risk</strong>iness was statistically significant, ranging from .22 to .34 across threats. Amodel that combined Perceived <strong>Risk</strong>iness and the four psychometric variables furtherimproved the ability to predict WTP. Adding the demographic variables did not appreciablyimprove prediction.P.96 Murphy MM, Rahaman F, Claycamp HG; meghan.murphy@fda.hhs.govUS Food and Drug Adminstration (FDA)MULTI-ATTRIBUTE ASSESSMENT METHOD FOR PHARMACYCOMPOUNDINGPharmacy Compounding (PC) is the combining, mixing or altering of a drug bya pharmacist, based on a prescription, to create a new drug that meets a medical need<strong>for</strong> a patient. PC serves patients by allowing those with allergies to drug ingredients orother medical needs to take medications that they would otherwise be unable to use.Producing a drug outside of a pharmaceutical manufacturing facility can introduceuncertainties in the quality of the product. A portion of the uncertainty is likely dueto variability in both the level of training of pharmacists and the adequacy of the facilitiesused to produce compounded drugs. The variabilities among pharmacists andfacilities can make compounded drugs susceptible to quality issues such as incorrectpotency, lack of content uni<strong>for</strong>mity, or contamination with bacteria or endotoxin.FDA’s mission includes protection of the public by minimizing consumer exposureto unsafe, ineffective, and poor quality compounded drugs. To this end, FDA is developingrisk management strategies <strong>for</strong> allocating program resources to compoundingpractices that entail the greatest risks to the patient. To provide a uni<strong>for</strong>m framework<strong>for</strong> prioritizing compounding issues, a multi-attribute assessment method wasdeveloped through the elicitation of PC experts within the U. S. Food and Drug Administration.The Pharmacy Compounding Assessment Model (PCAM) is a multiattributemethod that integrates expert judgment to prioritize incoming pharmacycompounding cases based upon the scoring of several attributes perceived by PCexperts to be indicative of potential risk within a pharmacy compounding scenario.The utilization of PCAM will aid pharmacy compounding regulators by providinga consistent and objective methodology to better in<strong>for</strong>m resource allocation, whichwill improve the ability to protect public health. Disclaimer: This paper reflects theviews of the author and should not be construed to represent FDA’s views or policies.T4-F.4 Merad M, Marcel F; myriam.merad@ineris.frINERISDECISION AID PROCESS IN RISK MANAGEMENT - FROM THECONDUCT OF THE EXPERTISE PROCESS TO ITS GOVERNANCEThe analysis and management of risks in the field of safety, security and environmentare complex issues on which the conduct of public expertise is subjectto strong stakes. This paper addresses the issues of the understanding, the supportand the governance of public expertise process and public decision-making processthrough research done on risk prevention of major technological accidents. Ouronboard research approach has allowed us to see what decision support tools couldaccompany the expertise process and, thus, the decision-making process. We haveshown what it necessary, in areas with strong issues such as risks management, to disposeof methodological approaches to better understand the conditions of expertiseand the emergence of recommendations. Opening expertise process to society alsoallowed us to explore the different modes of participatory governance and proposesteps <strong>for</strong> the design of participatory structures. Different case study (e.g. Seveso highthreshold plants, nanotechnologies,...) have enabled us to highlight the different tensions,constraints and biases to which the conduct of expertise is subject.W4-B.4 Nachman K, Fain K, Shah S, Fox M; mfox@jhsph.eduJohns Hopkins UniversityCOMPARABILITY OF TOXICOLOGICAL EVALUATION FRAME-WORKS FOR VETERINARY AND HUMAN PHARMACEUTICALS ANDENVIRONMENTAL CHEMICALS FOR FOUR FEDERAL PROGRAMSThe US population is routinely exposed to numerous naturally-occurring andanthropogenic compounds, often as a result of their uses in industry and agriculture.These compounds, which include commercial chemicals, pesticides, veterinary drugsand other substances, are regulated by different offices of the Food and Drug Administration(FDA) and the Environmental Protection Agency (EPA) under differentlegal authorities. As a result, differing approaches <strong>for</strong> toxicity evaluation employed bythe varying programs may lead to inconsistencies in levels of public health protectionacross types of chemicals. The purpose of this project is to characterize and contrast149
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