The EpiQuant Framework for Computing Epidemiological Concordance of Microbial Subtyping Data

A fundamental assumption in the use and interpretation of microbial subtyping results for public health investigations is that isolates that appear to be related based on molecular subtyping data are expected to share commonalities with respect to their origin, history, and distribution. Critically,...

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Detalles Bibliográficos
Autores principales: Hetman, Benjamin M., Mutschall, Steven K., Thomas, James E., Gannon, Victor P. J., Clark, Clifford G., Pollari, Frank, Taboada, Eduardo N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2017
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405252/
https://www.ncbi.nlm.nih.gov/pubmed/28202797
http://dx.doi.org/10.1128/JCM.01945-16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405252/
https://www.ncbi.nlm.nih.gov/pubmed/28202797
http://dx.doi.org/10.1128/JCM.01945-16

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