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Volume 20, Number 9—September 2014
Research

Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages

Xiangyu DengComments to Author , Prerak T. Desai, Henk C. den Bakker, Matthew Mikoleit, Beth Tolar, Eija Trees, Rene S. Hendriksen, Jonathan G. Frye, Steffen Porwollik, Bart C. Weimer, Martin Wiedmann, George M. Weinstock, Patricia I. Fields1, and Michael McClelland1
Author affiliations: University of Georgia, Griffin, Georgia, USA (X. Deng); University of California Irvine, Irvine, California, USA (P.T. Desai, S. Porwollik, M. McClelland); Cornell University, Ithaca, New York, USA (H.C. den Bakker, M. Wiedmann); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (M. Mikoleit, B. Tolar, E. Trees, P.I. Fields); Technical University of Denmark, Lyngby, Denmark (R.S. Hendriksen); US Department of Agriculture, Athens, Georgia, USA (J.G. Frye); University of California Davis, Davis, California, USA (B.C. Weimer); Washington University School of Medicine, St. Louis, Missouri, USA (G.M. Weinstock)

Main Article

Figure 2

Inferred number of Salmonella enterica serotype Enteritidis lineages over time based on a constant effective population size model using BEAST (16). Blue shading indicates 95% CIs.

Figure 2. Inferred number of Salmonella enterica serotype Enteritidis lineages over time based on a constant effective population size model using BEAST (16). Blue shading indicates 95% CIs.

Main Article

1These authors contributed equally to this article.

Page created: August 13, 2014
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