Application of Bayesian techniques to model the burden of human salmonellosis attributable to U.S. food commodities at the point of processing: adaptation of a Danish model

Autor: Paul R. Cieslak, Reza Roodsari, Kristin G. Holt, Evelyne Mbandi, Patricia Bennett, Jane Harman, Sara Monteiro Pires, Kanyin Liane Ong, Bonnie Kissler, Chuanfa Guo, Elaine Scallan, Frederick J. Angulo, Emma Hartnett, Robert M. Hoekstra, Dana Cole, Bonnie E. Rose, Alecia Larew Naugle, Carl M. Schroeder

Publikováno v: Guo, C, Hoekstra, R M, Schroeder, C M, Pires, S M, Ong, K L, Hartnett, E, Naugle, A, Harman, J, Bennett, P, Cieslak, P, Scallan, E, Rose, B, Holt, K G, Kissler, B, Mbandi, E, Roodsari, R, Angulo, F J & Cole, D 2011, ' Application of Bayesian Techniques to Model the Burden of Human Salmonellosis Attributable to U.S. Food Commodities at the Point of Processing: Adaptation of a Danish Model ', Foodborne Pathogens and Disease, vol. 8, no. 4, pp. 509-516 . https://doi.org/10.1089/fpd.2010.0714

Mathematical models that estimate the proportion of foodborne illnesses attributable to food commodities at specific points in the food chain may be useful to risk managers and policy makers to formulate public health goals, prioritize interventions,

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https://pubmed.ncbi.nlm.nih.gov/21235394