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Global antibiotic consumption and usage in humans, 2000-18: a spatial modelling study.
Browne, Annie J; Chipeta, Michael G; Haines-Woodhouse, Georgina; Kumaran, Emmanuelle P A; Hamadani, Bahar H Kashef; Zaraa, Sabra; Henry, Nathaniel J; Deshpande, Aniruddha; Reiner, Robert C; Day, Nicholas P J; Lopez, Alan D; Dunachie, Susanna; Moore, Catrin E; Stergachis, Andy; Hay, Simon I; Dolecek, Christiane.
Affiliation
  • Browne AJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Chipeta MG; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Haines-Woodhouse G; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Kumaran EPA; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Hamadani BHK; Oxford Centre for Global Health Research, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Zaraa S; School of Pharmacy and School of Public Health, University of Washington, Seattle, WA, USA.
  • Henry NJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Deshpande A; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Reiner RC; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Day NPJ; Oxford Centre for Global Health Research, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Lopez AD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Dunachie S; Oxford Centre for Global Health Research, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Moore CE; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Stergachis A; School of Pharmacy and School of Public Health, University of Washington, Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Hay SI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
  • Dolecek C; Oxford Centre for Global Health Research, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. Electronic address: christ
Lancet Planet Health ; 5(12): e893-e904, 2021 12.
Article in En | MEDLINE | ID: mdl-34774223
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Anti-Bacterial Agents Type of study: Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality Limits: Child / Child, preschool / Humans Country/Region as subject: Africa Language: En Journal: Lancet Planet Health Year: 2021 Document type: Article Affiliation country: United kingdom Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Statistical / Anti-Bacterial Agents Type of study: Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality Limits: Child / Child, preschool / Humans Country/Region as subject: Africa Language: En Journal: Lancet Planet Health Year: 2021 Document type: Article Affiliation country: United kingdom Country of publication: Netherlands