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Whole Genome Sequencing Detects Minimal Clustering Among Escherichia coli Sequence Type 131-H30 Isolates Collected From United States Children’s Hospitals
Author(s) -
Arianna Miles-Jay,
Scott J. Weissman,
Amanda Adler,
Janet Baseman,
Danielle M. Zerr
Publication year - 2020
Publication title -
journal of the pediatric infectious diseases society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.269
H-Index - 31
eISSN - 2048-7207
pISSN - 2048-7193
DOI - 10.1093/jpids/piaa023
Subject(s) - genome , escherichia coli , whole genome sequencing , cluster analysis , genetics , transmission (telecommunications) , dna sequencing , computational biology , sequence (biology) , medicine , biology , gene , machine learning , computer science , electrical engineering , engineering
We applied whole genome sequencing to identify putative transmission clusters among clinical multidrug-resistant Escherichia coli sequence type 131-H30 isolates from 4 United States children's hospitals. Of 126 isolates, 17 were involved in 8 putative transmission clusters; 4 clusters showed evidence of healthcare-associated epidemiologic linkages. Geographic clustering analyses showed weak geographic clustering.

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