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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...
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| Опубликовано в: : | Expert Rev Anti Infect Ther |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| 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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