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López-Lozano JM, Lawes T, Nebot C, et al. Author Correction: A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance. Nat Microbiol. 2020;5(11):1449doi: 10.1038/s41564-020-00796-6.
López-Lozano, J. M., Lawes, T., Nebot, C., Beyaert, A., Bertrand, X., Hocquet, D., Aldeyab, M., Scott, M., Conlon-Bingham, G., Farren, D., Kardos, G., Fésűs, A., Rodríguez-Baño, J., Retamar, P., Gonzalo-Jiménez, N., Gould, I. M. (2020). Author Correction: A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance. Nature microbiology, 5(11), 1449. https://doi.org/10.1038/s41564-020-00796-6
López-Lozano, José-María, 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 vol. 5,11 (2020): 1449. doi: https://doi.org/10.1038/s41564-020-00796-6
López-Lozano JM, Lawes T, Nebot C, Beyaert A, Bertrand X, Hocquet D, Aldeyab M, Scott M, Conlon-Bingham G, Farren D, Kardos G, Fésűs A, Rodríguez-Baño J, Retamar P, Gonzalo-Jiménez N, Gould IM. Author Correction: A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance. Nat Microbiol. 2020 Nov;5(11):1449. doi: 10.1038/s41564-020-00796-6. PMID: 32958859.
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Nat Microbiol. 2020 Nov;5(11):1449. doi: 10.1038/s41564-020-00796-6.

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

Nature microbiology

José-María López-Lozano, Timothy Lawes, César Nebot, Arielle Beyaert, Xavier Bertrand, Didier Hocquet, Mamoon Aldeyab, Michael Scott, Geraldine Conlon-Bingham, David Farren, Gábor Kardos, Adina Fésűs, Jesús Rodríguez-Baño, Pilar Retamar, Nieves Gonzalo-Jiménez, Ian M Gould,

Affiliations

  1. Medicine Preventive-Infection Control Team, Hospital Vega Baja, Orihuela, Spain.
  2. The Wellcome Trust Liverpool-Glasgow Centre for Global Health Research, Liverpool, UK. [email protected].
  3. Centro Universitario de la Defensa de San Javier, Murcia, Spain.
  4. Departamento de Métodos Cuantitativos para la Economía y la Empresa, University of Murcia, Murcia, Spain.
  5. Laboratoire Chrono-environnement, Université de Bourgogne-Franche-Comté, Besançon, France.
  6. Centre Hospitalier Régional Universitaire de Besançon, Besançon, France.
  7. School of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine, UK.
  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. Department of Medical Microbiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  11. Clinical Pharmacy, University of Debrecen, Debrecen, Hungary.
  12. Infectious Diseases and Clinical Microbiology Unit, Hospital Universitario Virgen Macarena, Seville, Spain.
  13. Department of Medicine, Instituto de Biomedicina de Sevilla, University of Sevilla, Seville, Spain.
  14. Medical Microbiology Department, Hospital Vega Baja, Orihuela, Spain.
  15. Medical Microbiology Department, Aberdeen Royal Infirmary, Aberdeen, UK.

PMID: 32958859 DOI: 10.1038/s41564-020-00796-6

Abstract

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

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