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• W2955570111 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." @default.
• W2955570111 created "2019-07-12" @default.
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• W2955570111 date "2019-07-01" @default.
• W2955570111 modified "2023-10-12" @default.
• W2955570111 title "Interpretation of Whole-Genome Sequencing for Enteric Disease Surveillance and Outbreak Investigation" @default.
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• W2955570111 doi "https://doi.org/10.1089/fpd.2019.2650" @default.
• W2955570111 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6653782" @default.
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