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Interpretation of Whole-Genome Sequencing for Enteric Disease Surveillance and Outbreak Investigation.
Besser, John M; Carleton, Heather A; Trees, Eija; Stroika, Steven G; Hise, Kelley; Wise, Matthew; Gerner-Smidt, Peter.
Afiliação
  • Besser JM; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
  • Carleton HA; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
  • Trees E; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
  • Stroika SG; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
  • Hise K; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
  • Wise M; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
  • Gerner-Smidt P; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia.
Foodborne Pathog Dis ; 16(7): 504-512, 2019 07.
Article em En | MEDLINE | ID: mdl-31246502
ABSTRACT
The routine use of whole-genome sequencing (WGS) as part of enteric disease surveillance is substantially enhancing our ability to detect and investigate outbreaks and to monitor disease trends. At the same time, it is revealing as never before the vast complexity of microbial and human interactions that contribute to outbreak ecology. Since WGS analysis is primarily used to characterize and compare microbial genomes with the goal of addressing epidemiological questions, it must be interpreted in an epidemiological context. In this article, we identify common challenges and pitfalls encountered when interpreting sequence data in an enteric disease surveillance and investigation context, and explain how to address them.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Pública / Epidemiologia Molecular / Doenças Transmitidas por Alimentos / Sequenciamento Completo do Genoma Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Foodborne Pathog Dis Assunto da revista: CIENCIAS DA NUTRICAO / MICROBIOLOGIA / PARASITOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Geórgia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Pública / Epidemiologia Molecular / Doenças Transmitidas por Alimentos / Sequenciamento Completo do Genoma Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Foodborne Pathog Dis Assunto da revista: CIENCIAS DA NUTRICAO / MICROBIOLOGIA / PARASITOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Geórgia