- Titre
- Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review ( vol 12 , 100 , 2023)
- Créateurs - sans rôle
- Paul Laffont-Lozes - Nimes Univ Hosp, Dept Pharm, Nimes, FranceRomaric Larcher - Nimes Univ Hosp, Infect & Trop Dis Dept, Nimes, FranceFlorian Salipante - Univ Montpellier, Nimes Univ Hosp, Dept Biostat Epidemiol Publ Hlth & Innovat Methodo, Nimes, FranceGeraldine Leguelinel-Blache - Nimes Univ Hosp, Dept Pharm, Nimes, FranceCatherine Dunyach-Remy - Nimes Univ Hosp, Dept Microbiol & Hosp Hyg, Nimes, FranceJean-Philippe Lavigne - Nimes Univ Hosp, Dept Microbiol & Hosp Hyg, Nimes, FranceAlbert Sotto - Nimes Univ Hosp, Infect & Trop Dis Dept, Nimes, FrancePaul Loubet - Nimes Univ Hosp, Infect & Trop Dis Dept, Nimes, France
- Détails de publication
- Antimicrobial resistance & infection control, Vol.13(1), 33
- Éditeur
- Springer Nature
- Nombre de pages
- 1
- Identifiants
- 99148853809311
- Unité académique
- Virulence Bacterienne et Infections Chroniques - VBIC
- Langue
- English
- Type de ressource
- Journal article
Article de revue
Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review ( vol 12 , 100 , 2023)
Antimicrobial resistance & infection control, Vol.13(1), 33
21/03/2024
PMID: 38515203
Indicateurs
1 Consultations de la notice