title: Making sense of antimicrobial use and resistance surveillance data: application of ARIMA and transfer function models.
authors: Department of Microbiological Research and Development, Statens Serum Institut, Copenhagen, Denmark. dom@ssi.dk
authors: D L
authors: DL
authors: Monnet
authors: J M
authors: JM
authors: López-Lozano
authors: P
authors: P
authors: Campillos
authors: A
authors: A
authors: Burgos
authors: A
authors: A
authors: Yagüe
authors: N
authors: N
authors: Gonzalo
mesh_terms: D000583:Amikacin / Q000378:metabolism / Q000493:pharmacokinetics; D000900:Anti-Bacterial Agents / Q000494:pharmacology / Q000627:therapeutic use*; D002442:Ceftazidime / Q000378:metabolism / Q000493:pharmacokinetics; D004352:Drug Resistance, Microbial; D005839:Gentamicins / Q000378:metabolism / Q000493:pharmacokinetics; D008962:Models, Theoretical; D011552:Pseudomonas Infections / Q000188:drug therapy; D011550:Pseudomonas aeruginosa / Q000187:drug effects*
chemical_list: D000900:Anti-Bacterial Agents; D005839:Gentamicins; D000583:Amikacin; D002442:Ceftazidime