Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

BACKGROUNG: Antimicrobial resistance (AMR) is on the rise worldwide. Tools such as dynamic regression (DR) models can correlate antimicrobial consumption (AMC) with AMR and predict future trends to help implement antimicrobial stewardship programs (ASPs). MAIN BODY: We carried out a systematic revie...

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Detalles Bibliográficos
Autores principales: Laffont-Lozes, Paul, Larcher, Romaric, Salipante, Florian, Leguelinel-Blache, Geraldine, Dunyach-Remy, Catherine, Lavigne, Jean-Philippe, Sotto, Albert, Loubet, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496333/
https://www.ncbi.nlm.nih.gov/pubmed/37697357
http://dx.doi.org/10.1186/s13756-023-01302-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496333/
https://www.ncbi.nlm.nih.gov/pubmed/37697357
http://dx.doi.org/10.1186/s13756-023-01302-3

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