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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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-34774223
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Antibacterianos Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Limite: Child / Child, preschool / Humans País/Região como assunto: Africa Idioma: En Revista: Lancet Planet Health Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Antibacterianos Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Limite: Child / Child, preschool / Humans País/Região como assunto: Africa Idioma: En Revista: Lancet Planet Health Ano de publicação: 2021 Tipo de documento: Article