Comparing Characteristics of Sporadic and Outbreak-Associated Foodborne Illnesses, United States, 2004–2011
Eric D. Ebel, Michael S. Williams
, Dana Cole, Curtis C. Travis, Karl C. Klontz, Neal J. Golden, and Robert M. Hoekstra
Author affiliations: US Department of Agriculture District of Columbia, Washington, DC, USA (E.D. Ebel, M.S. Williams, N.J. Golden); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (D. Cole, R.M. Hoekstra); Leidos Incorporated, Reston, Virginia, USA (C.C. Travis); Food and Drug Administration, College Park, Maryland, USA (K.C. Klontz)
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Figure 2
Figure 2. Patterns of the Bayesian information criterion (BIC) statistic as a function of the number of model parameters are shown for the four pathogens included in the analysis of Foodborne Diseases Active Surveillance Network (FoodNet) data, United States, 2004–2011. A) Campylobacter; B) Escherichia coli O157; C) Listeria; D) Salmonella. The BIC decreases to a minimum value and then increases as model complexity (as measured by the number of model parameters) increases.
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