- Page 4 and 5: Ballroom C1Monday10:30 AM-NoonM2-A
- Page 10 and 11: ...Back by Popular Demand...Back by
- Page 12 and 13: exercises which help the participan
- Page 14 and 15: WK12: Synthesizing Evidence: An Int
- Page 16 and 17: Workshop - Thursday, December 8Full
- Page 18 and 19: 10:30 AM-NoonBallroom C1M2-A Panel
- Page 20 and 21: 1:30-3:00 PMBallroom C1M3-A Animal
- Page 22 and 23: 3:30-5:00 PMBallroom C1M4-A Emergin
- Page 24 and 25: 6:15 - 8:15 PMP Poster SessionBallr
- Page 26 and 27: P.65 Use of genomics data andother
- Page 28 and 29: 10:30 AM-NoonBallroom C1T2-A Climat
- Page 30 and 31: 1:30-3:00 PMBallroom C1T3-A Fukushi
- Page 32: 3:30-5:00 PMBallroom C1T4-A Risk Co
- Page 35 and 36: 8:30-10:00 AMRoom 8/9W1-F Symposium
- Page 37 and 38: 10:30 AM-NoonRoom 7W2-E Symposium:
- Page 40 and 41: 3:30-4:30 PMBallroom C1W4-A Communi
- Page 42 and 43: SYMPOSIA DESCRIPTIONSDisclaimer: Al
- Page 44 and 45: M3-E Symposium: Listeria Monocytoge
- Page 46 and 47: years. Some of the most prominent e
- Page 48 and 49: workshop, held in May 2011, additio
- Page 50 and 51: how risk assessment can be used to
- Page 52 and 53: other novel approach is the use of
- Page 54 and 55: W3-C.3 Abadin HG; hga0@cdc.govATSDR
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ution of values with associated pro
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model framework is built on the cor
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with a combination of arcs (section
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W1-C.3 Belzer RB; belzer@regulatory
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M3-A.4 Binder AR, Scheufele DA, Bro
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W3-B.4 Bouwknegt M, Verhaelen K, Ru
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P.92 Bronfman NC, Jiménez RB, Blá
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vancing the Next Generation of Risk
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choice experiment questionnaire to
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mitigations: 1) fruit is coming fro
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mortality or systemic infections us
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P.90 Clarke CE; cec54@cornell.eduCo
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tize information needs. A meta-anal
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P.15 Cox J, McGarvey D, Whitmire M,
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However the concept of framing is m
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policy implementation. Determining
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National Oceanic and Atmospheric Ad
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any point in the food chain. The fi
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ogy capable of quant ifying ecologi
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separately, and asked to write down
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derstand benefits and problems with
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defaults, cumulative risk assessmen
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conclusions that are robust in both
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kind (almost always, similar to the
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W2-F.4 Gerst MD, Wang P, Roventini
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stochastic game, players coordinate
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of the short-term climate impacts o
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are being used to collect real time
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W1-F.1 Hamilton M, Lambert J, Linko
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point uncertainty factors with dist
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W4-H.3 Heatwole NT, Florig HK; heat
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These fourteen pathogens account fo
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T2-H.2 Huang Y, Haas CN, Rose JB, B
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cal fields developed from meteorolo
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concentration (Ea/C) among climate
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educated, being female rather think
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Dawley rat and human), 2) the metab
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M3-F.4 Kovacs D, Thorne S, Butte G,
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T2-A.4 L’Orange Seigo S, Wallquis
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W2-H.1 Lazo JK, Morrow BH, Rhome JR
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meet existing and futuristic challe
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health consequences of an intention
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feasibility of comparing nano-enabl
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sion Program studies in New York Ci
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passenger impact of such events and
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W2-I.3 Mitchell A, Casman E; austin
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T3-H.2 Montello BM, Shroy BC, Bucht
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methods used by FDA and EPA to eval
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organizations, sectors, and the Nat
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AoA, from project development to im
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this concept has begun to be operat
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ducted with emergency health respon
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complexity of the problem formulati
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ing the potential carcinogenicity o
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P.125 Ridley CE, Frederick RJ*; fre
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M3-C.4 Roy CJ; croy@tulane.eduTulan
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W4-C.5 Sass J; jsass@nrdc.orgNatura
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significant risk reduction (with do
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this paper, we develop a novel mode
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tion, respectively. Therefore, the
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T4-F.2 Smith MC, Rocks SA, Pollard
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isks are severely miscalculated by
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systems against possible terrorist
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BMEGs may take years to achieve, bu
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American epidemic since 2003, and t
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proaches and those needed for a rel
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W3-G.1 Walderhaug MO, Mitkus R, Hes
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W2-B.5 Wambaugh JF; Wambaugh.John@e
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four cases of multiple myeloma were
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non-state actors to race to deploy
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W2-I.1 Woodard JD, Pavlista AD, Sch
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verbal decision analysis to classif
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Generic Exposure Scenario library.
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M3-A.3 Zingg A, Siegrist M; alexand
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Cogliano V.........................
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Lazo JK............................
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Thrasher JF........................
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Thanks for coming!See you next year