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Statistical detection of geographic clusters of resistant Escherichia coli in a regional network with WHONET and SaTScan

OBJECTIVES: While antimicrobial resistance threatens the prevention, treatment, and control of infectious diseases, systematic analysis of routine microbiology laboratory test results worldwide can alert new threats and promote timely response. This study explores statistical algorithms for recogniz...

Полное описание

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Библиографические подробности
Опубликовано в: :Expert Rev Anti Infect Ther
Главные авторы: Park, Rachel, O'Brien, Thomas F., Huang, Susan S., Baker, Meghan A., Yokoe, Deborah S., Kulldorff, Martin, Barrett, Craig, Swift, Jamie, Stelling, John
Формат: Artigo
Язык:Inglês
Опубликовано: 2016
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5109973/
https://ncbi.nlm.nih.gov/pubmed/27530311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/14787210.2016.1220303
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