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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Dettagli Bibliografici
Pubblicato in:J Clin Microbiol
Autori principali: Hetman, Benjamin M., Mutschall, Steven K., Thomas, James E., Gannon, Victor P. J., Clark, Clifford G., Pollari, Frank, Taboada, Eduardo N.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Society for Microbiology 2017
Soggetti:
Epidemiology
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5405252/
https://ncbi.nlm.nih.gov/pubmed/28202797
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/JCM.01945-16
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