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PulseNet and the Changing Paradigm of Laboratory-Based Surveillance for Foodborne Diseases.
Kubota, Kristy A; Wolfgang, William J; Baker, Deborah J; Boxrud, David; Turner, Lauren; Trees, Eija; Carleton, Heather A; Gerner-Smidt, Peter.
Afiliación
  • Kubota KA; Association of Public Health Laboratories, Food Safety Program, Silver Spring, MD, USA.
  • Wolfgang WJ; New York State Department of Health, Bacteriology Laboratory, Albany, NY, USA.
  • Baker DJ; Department of Biomedical Sciences, University of Albany, Rensselaer, NY, USA.
  • Boxrud D; New York State Department of Health, Bacteriology Laboratory, Albany, NY, USA.
  • Turner L; Public Health Laboratory Division, Minnesota Department of Health, St. Paul, MN, USA.
  • Trees E; Virginia Department of General Services, Division of Consolidated Laboratory Services, Richmond, VA, USA.
  • Carleton HA; Association of Public Health Laboratories, Food Safety Program, Silver Spring, MD, USA.
  • Gerner-Smidt P; Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Public Health Rep ; 134(2_suppl): 22S-28S, 2019.
Article en En | MEDLINE | ID: mdl-31682558
PulseNet, the National Molecular Subtyping Network for Foodborne Disease Surveillance, was established in 1996 through a collaboration with the Centers for Disease Control and Prevention; the US Department of Agriculture, Food Safety and Inspection Service; the US Food and Drug Administration; 4 state public health laboratories; and the Association of Public Health Laboratories. The network has since expanded to include 83 state, local, and food regulatory public health laboratories. In 2016, PulseNet was estimated to be helping prevent an estimated 270 000 foodborne illnesses annually. PulseNet is undergoing a transformation toward whole-genome sequencing (WGS), which provides better discriminatory power and precision than pulsed-field gel electrophoresis (PFGE). WGS improves the detection of outbreak clusters and could replace many traditional reference identification and characterization methods. This article highlights the contributions made by public health laboratories in transforming PulseNet's surveillance and describes how the transformation is changing local and national surveillance practices. Our data show that WGS is better at identifying clusters than PFGE, especially for clonal organisms such as Salmonella Enteritidis. The need to develop prioritization schemes for cluster follow-up and additional resources for both public health laboratory and epidemiology departments will be critical as PulseNet implements WGS for foodborne disease surveillance in the United States.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública / Brotes de Enfermedades / Vigilancia en Salud Pública / Enfermedades Transmitidas por los Alimentos / Laboratorios Tipo de estudio: Prognostic_studies / Screening_studies Aspecto: Determinantes_sociais_saude Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Public Health Rep Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública / Brotes de Enfermedades / Vigilancia en Salud Pública / Enfermedades Transmitidas por los Alimentos / Laboratorios Tipo de estudio: Prognostic_studies / Screening_studies Aspecto: Determinantes_sociais_saude Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Public Health Rep Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos