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Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment.
Ahmad, Amais; Zachariasen, Camilla; Christiansen, Lasse Engbo; Græsbøll, Kaare; Toft, Nils; Matthews, Louise; Olsen, John Elmerdahl; Nielsen, Søren Saxmose.
Affiliation
  • Ahmad A; Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 8, DK-1870, Frederiksberg C, Denmark. amaisahmad@gmail.com.
  • Zachariasen C; Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark.
  • Christiansen LE; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800, Lyngby, Denmark.
  • Græsbøll K; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800, Lyngby, Denmark.
  • Toft N; National Veterinary Institute, Section of Epidemiology, Technical University of Denmark, Bulowsvej 27, DK-1870, Frederiksberg C, Denmark.
  • Matthews L; Boyd Orr Centre for Population and Ecosystem Health, Institute for Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
  • Olsen JE; Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark.
  • Nielsen SS; Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 8, DK-1870, Frederiksberg C, Denmark.
BMC Microbiol ; 16(1): 118, 2016 06 23.
Article in En | MEDLINE | ID: mdl-27338861
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Full text: 1 Database: MEDLINE Therapeutic Methods and Therapies TCIM: Plantas_medicinales Main subject: Bacteria / Escherichia coli Infections / Anti-Bacterial Agents Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Microbiol Year: 2016 Type: Article Affiliation country: Denmark
Fulltext
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Full text: 1 Database: MEDLINE Therapeutic Methods and Therapies TCIM: Plantas_medicinales Main subject: Bacteria / Escherichia coli Infections / Anti-Bacterial Agents Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Microbiol Year: 2016 Type: Article Affiliation country: Denmark