Using WGS to identify antibiotic resistance genes and predict antimicrobial resistance phenotypes in MDR Acinetobacter baumannii in Tanzania-Reference-Cited by-同舟云学术

Using WGS to identify antibiotic resistance genes and predict antimicrobial resistance phenotypes in MDR Acinetobacter baumannii in Tanzania

Published:2019-03-06 Issue:6 Volume:74 Page:1484-1493
ISSN:0305-7453
Container-title:Journal of Antimicrobial Chemotherapy
language:en
Short-container-title:

Author:

Kumburu Happiness H¹²³^ORCID,Sonda Tolbert¹²³,van Zwetselaar Marco²,Leekitcharoenphon Pimlapas⁴,Lukjancenko Oksana⁴,Mmbaga Blandina T¹²³,Alifrangis Michael⁵,Lund Ole⁶,Aarestrup Frank M⁴^ORCID,Kibiki Gibson S⁷

Affiliation:

1. Kilimanjaro Christian Medical University College, Moshi, Tanzania

2. Kilimanjaro Clinical Research Institute, Moshi, Tanzania

3. Kilimanjaro Christian Medical Centre, Moshi, Tanzania

4. DTU-Food, Technical University of Denmark, Copenhagen, Denmark

5. Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen and Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark

6. DTU-Bioinformatics, Technical University of Denmark, Copenhagen, Denmark

7. East African Health Research Commission, Bujumbura, Burundi

Funder

Danish International Development Agency

DFC

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

Link

http://academic.oup.com/jac/article-pdf/74/6/1484/28666745/dkz055.pdf

Reference58 articles.