Author Correction: A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance

José-María López-Lozano (1) , Timothy Lawes (2) , César Nebot (3) , Arielle Beyaert (3) , Xavier Bertrand (4, 5) , Didier Hocquet (4, 5) , Mamoon Aldeyab (6) , Michael Scott (7) , Geraldine Conlon-Bingham (8) , David Farren (9) , Gábor Kardos (10) , Adina Fésűs (10) , Jesús Rodríguez-Baño (11) , Pilar Retamar (11) , Nieves Gonzalo-Jiménez (1) , Ian Gould (12)

1 Hospital Vega Baja, Orihuela, Spain
2 The Wellcome Trust Liverpool-Glasgow Centre for Global Health Research, Liverpool, UK
3 Universidad de Murcia
4 CHRU Besançon - Centre Hospitalier Régional Universitaire de Besançon
5 LCE - Laboratoire Chrono-environnement (UMR 6249)
6 School of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine, UK
7 MIRACL
8 Pharmacy Department, Northern Health and Social Care Trust and Regional Medicines Optimisation Innovation Centre, Antrim, UK
9 Department of Medical Microbiology, Antrim Area Hospital, Antrim, UK
10 University of Debrecen [Hungary]
11 University Hospital Virgen Macarena
12 Medical Microbiology Department, Aberdeen Royal Infirmary, Aberdeen, UK

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Domaines: Médecine humaine et pathologie; Microbiologie et Parasitologie

José-María López-Lozano, Timothy Lawes, César Nebot, Arielle Beyaert, Xavier Bertrand, et al.. Author Correction: A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance. Nature Microbiology, 2020, 5 (11), pp.1449-1449. ⟨10.1038/s41564-020-00796-6⟩. ⟨hal-03053749⟩