Resistance Trend Estimation Using Regression Analysis to Enhance Antimicrobial Surveillance: A Multi-Centre Study in London 2009-2016.

Hernandez, Bernard; Herrero-Viñas, Pau; Rawson, Timothy M; Moore, Luke S P; Holmes, Alison H; Georgiou, Pantelis

Hernandez, Bernard; Herrero-Viñas, Pau; Rawson, Timothy M; Moore, Luke S P; Holmes, Alison H; Georgiou, Pantelis.

Afiliação

Hernandez B; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
Herrero-Viñas P; Centre for Antimicrobial Optimisation (CAMO), Imperial College London, London W12 0NN, UK.
Rawson TM; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
Moore LSP; Centre for Antimicrobial Optimisation (CAMO), Imperial College London, London W12 0NN, UK.
Holmes AH; Centre for Antimicrobial Optimisation (CAMO), Imperial College London, London W12 0NN, UK.
Georgiou P; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London W12 0NN, UK.

Antibiotics (Basel) ; 10(10)2021 Oct 18.

Article em En | MEDLINE | ID: mdl-34680846

Palavras-chave

antimicrobial resistance; antimicrobial surveillance; escherichia coli; regression analysis; resistance rate; resistance trend; staphylococcus aureus; time series analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Screening_studies Idioma: En Revista: Antibiotics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Suíça

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