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...

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Bibliografische gegevens
Gepubliceerd in:Expert Rev Anti Infect Ther
Hoofdauteurs: Park, Rachel, O'Brien, Thomas F., Huang, Susan S., Baker, Meghan A., Yokoe, Deborah S., Kulldorff, Martin, Barrett, Craig, Swift, Jamie, Stelling, John
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2016
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Online toegang: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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