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Vibrio in seafood - FAO.org

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• Effect of post harvest handl<strong>in</strong>g and process<strong>in</strong>g• Ability of the <strong>org</strong>anism to multiply to an <strong>in</strong>fective doseAs a result, the exposure assessment was divided <strong>in</strong>to separate modules, which corresponded todifferent stages lead<strong>in</strong>g potentially to consumer exposure: the harvest and post harvest, retail andconsumption modules.The Harvest Module estimates the prevalence of pathogenic V. parahaemolyticus at time ofharvest. The Post Harvest Module determ<strong>in</strong>es the role of post harvest process<strong>in</strong>g and handl<strong>in</strong>g on thenumbers of pathogenic V. parahaemolyticus at consumption.As this section is currently based on the model developed <strong>in</strong> the United States FDA-VPRA(Anonymous, 2001) a similar approach and structure is be<strong>in</strong>g used. It also <strong>in</strong>volves the collection of datafrom other countries, if possible on a regional and seasonal basis and then <strong>in</strong>corporat<strong>in</strong>g such data <strong>in</strong>to themodel. In the development of FDA-VPRA model, because of harvest<strong>in</strong>g and temperature differences, theUnited States harvest areas were divided <strong>in</strong>to five regions, and each region was divided <strong>in</strong>to four seasons.Differences exist<strong>in</strong>g <strong>in</strong> oyster harvest<strong>in</strong>g practices and climates <strong>in</strong> the United States were sufficientlysignificant to identify five separate geographic regions (Northeast Atlantic, Mid-Atlantic, PacificNorthwest, Louisiana Gulf Coast and the rema<strong>in</strong>der of the Gulf Coast) for each season, for consideration <strong>in</strong>modell<strong>in</strong>g each of the modules. Factors <strong>in</strong>fluenc<strong>in</strong>g the risk of illness posed by V. parahaemolyticus wereidentified and <strong>in</strong>corporated <strong>in</strong>to each module as appropriate. Integration of the various parameterscompris<strong>in</strong>g these modules <strong>in</strong>to a quantitative risk assessment model will provide a more comprehensiveunderstand<strong>in</strong>g of the relative importance and <strong>in</strong>teractions among the factors <strong>in</strong>fluenc<strong>in</strong>g risk.2.2.5.2 AssumptionsWhile provid<strong>in</strong>g a framework for understand<strong>in</strong>g the relationship of risk to various parameters, thedevelopment of the risk assessment model necessarily requires certa<strong>in</strong> assumptions to fill the data gaps. Inthe development of the United States <strong>Vibrio</strong> risk assessment the assumptions <strong>in</strong>corporated <strong>in</strong> the modelwere reviewed by the National Advisory Committee on Microbiological Criteria for Foods (NACMCF,1998) at a public meet<strong>in</strong>g <strong>in</strong> September 1999. In the current risk assessment the work undertaken to date<strong>in</strong>clud<strong>in</strong>g the assumptions made have been reviewed by a group of experts at a jo<strong>in</strong>t <strong>FAO</strong>/WHO expertconsultation on risk assessment of microbiological hazards <strong>in</strong> foods that was convened <strong>in</strong> July 2001(<strong>FAO</strong>/WHO, 2001). Such a review step ensures that the assumptions are the best that can be made basedon current knowledge and also facilitates transparency of the risk assessment process.Based on the <strong>in</strong>formation currently available, for the Harvest Module, it was assumed that thepresence of the thermostable direct hemolys<strong>in</strong> (TDH) gene be used as the basis for pathogenicity. It is notcurrently known what average numbers of TDH-positive stra<strong>in</strong>s exist <strong>in</strong> shellfish, nationally or regionally(see also section 3.1.3 on TDH). The estimates made <strong>in</strong> the V. parahaemolyticus risk assessment, based onthe observed frequency of TDH-positive isolates, were the best possible from the data currently available.However, s<strong>in</strong>ce it is currently not known how this frequency may vary from one year to the next, a twofoldup or down triangle distribution was assumed. Also, with<strong>in</strong> a given year, there is uncerta<strong>in</strong>ty aboutthe variance of the percentage pathogenic V. parahaemolyticus <strong>in</strong> one composite of oysters to the next.For example, for the United States coastal area, with the exception of the Pacific Coast (where the rangewas 2% to 4%), the percentage pathogenic V. parahaemolyticus <strong>in</strong> a given year ranged from 0.1% to 0.3%.However, these estimates are based on older data and may not be predictive of future years, given that thefrequency of percentage pathogenic V. parahaemolyticus may be chang<strong>in</strong>g as new outbreak stra<strong>in</strong>s emergeor re-emerge, such as the emergence of O3:K6 or recurrence of known outbreak stra<strong>in</strong>s such as O4:K12. Ithas also been noted that the proportion of pathogenic stra<strong>in</strong>s occurr<strong>in</strong>g can vary from region to region, forexample these stra<strong>in</strong>s tend to occur with greater frequency <strong>in</strong> Asia than <strong>in</strong> the United States (<strong>FAO</strong>/WHO,13

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