| Issue |
E3S Web Conf.
Volume 148, 2020
The 6th Environmental Technology and Management Conference (ETMC) in conjunction with The 12th AUN/SEED-Net Regional Conference on Environmental Engineering (RC EnvE) 2019
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|---|---|---|
| Article Number | 04003 | |
| Number of page(s) | 6 | |
| Section | Healthy and Safe Communities | |
| DOI | https://doi.org/10.1051/e3sconf/202014804003 | |
| Published online | 05 February 2020 | |
Identification of Antibiotic-Resistant Bacteria in the Primary Health Center in Bandung (Qualitative study in Puskesmas Ibrahim Adjie)
1 Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Indonesia
2 Pharmacochemistry Department, School of Pharmacy, Institut Teknologi Bandung
* Corresponding author: mayrina@tl.itb.ac.id
The world is currently facing a serious health threat resulting from antimicrobial resistance (AMR). It is estimated that the global mortality related to AMR is roughly 700,000 per year and is expected to rise to 10 million annually by 2050. Healthcare facilities are among the main contributors of antimicrobial resistance. This study aims to identify the existence of antibiotic resistance bacteria in the air environment of the primary health facility (Puskesmas). Ten samples were collected in 4 different places of indoor environment in Puskesmas Ibrahim Adjie, Bandung, West Java. Antibiotic resistance bacteria (ARB) first selected by growing in 5 different selective media. There are 265 colonies which then selected and identified respectively by using Kirby-Bauer Method with Amoxicillin and Microgen Biochemical Identification. Three dominant bacteria Stenotrophomonas (Xanthomonas) maltophilia, Pseudomonas stutzeri and Serratia marcescens, were found. Those bacteria are not the main pathogenic bacteria but recently recognized as opportunistic pathogen combining a propensity for healthcare-associated infection and antimicrobial resistance.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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