2023
DOI: 10.3390/cimb45030143
|View full text |Cite
|
Sign up to set email alerts
|

Whole-Genome Analysis of Antimicrobial-Resistant Salmonella enterica Isolated from Duck Carcasses in Hanoi, Vietnam

Abstract: Salmonella enterica is one of the most dangerous foodborne pathogens listed by the World Health Organization. In this study, whole-duck samples were collected at wet markets in five districts in Hanoi, Vietnam, in October 2019 to assess their Salmonella infection rates and evaluate the susceptibility of the isolated strains to antibiotics currently used in the prophylaxis and treatment of Salmonella infection. Based on the antibiotic resistance profiles, eight multidrug resistance strains were whole-genome-seq… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 49 publications
0
2
0
Order By: Relevance
“…The convolutional neural networks (CNNs) are effective at classifying plant species from images of flowers, as demonstrated by the authors of [3]. Because of how unique it seems, the flower's image has a considerable significance among plant parts.…”
Section: Literature Surveymentioning
confidence: 99%
“…The convolutional neural networks (CNNs) are effective at classifying plant species from images of flowers, as demonstrated by the authors of [3]. Because of how unique it seems, the flower's image has a considerable significance among plant parts.…”
Section: Literature Surveymentioning
confidence: 99%
“…Thi Thanh Nhan Nguyen et al [8] tshowed the sturdiness of DCNN to identify flower species. They have extracted a flower dataset of 967 species from PlantCLEF 2015.…”
Section: Related Workmentioning
confidence: 99%