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Time-series modelling for the quantification of seasonality and forecasting antibiotic-resistant episodes: application to carbapenemase-producing Enterobacteriaceae episodes in France over 2010-20.
Journal of Antimicrobial Chemotherapy ( IF 3.9 ) Pub Date : 2020-09-15 , DOI: 10.1093/jac/dkaa388
Jonathan Roux 1 , Narimane Nekkab 2, 3 , Mélanie Colomb-Cotinat 4 , Pascal Astagneau 5, 6 , Pascal Crépey 1
Affiliation  

Carbapenemase-producing Enterobacteriaceae (CPE) cause resistant healthcare-associated infections that jeopardize healthcare systems and patient safety worldwide. The number of CPE episodes has been increasing in France since 2009, but the dynamics are still poorly understood.

中文翻译:

时间序列建模,用于量化季节性并预测抗生素耐药性发作:在2010-20年间在法国生产碳青霉烯酶的肠杆菌科发作中的应用。

产生碳青霉烯酶的肠杆菌科(CPE)会导致与医疗保健相关的耐药性感染,从而危及全球的医疗保健系统和患者安全。自2009年以来,法国的CPE插播次数一直在增加,但对动态的了解仍然很少。
更新日期:2020-09-15
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