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Antibiotic resistance (AR) rates in Vietnam are among the highest in Asia, and recent infections due to multi-drug resistance in the country have caused thousands of deaths each year. This study investigated a Vietnamese community's preferences for antibiotic treatment and its knowledge and attitudes regarding antibiotics. A discrete choice experiment-based survey was developed and administered to the population of interest. The respondents were given sociodemographic-, knowledge- and attitude-related items and 17 pairs of choice tasks. Two hypothetical options were included in each choice task. Latent class analysis was conducted to determine the differences among the respondents' preferences. Among 1,014 respondents, 805 (79.4%) gave valid questionnaires. A three-latent-class model with four covariates (age, healthcare-related education or career, occupation, and attitude classifications) was used in the analysis. All five attributes significantly influenced the respondents' decisions. The majority, including young employed respondents with non-healthcare-related work or education, found treatment failure more important. Older respondents who had healthcare-related education/careers and/or appropriate antibiotic use- and antibiotics resistance-related attitudes, regarded contribution to antibiotic resistance as an important attribute in selecting antibiotic treatments. Unemployed individuals with correct knowledge identified the cost of antibiotic treatment as the most essential decision-making factor. Findings suggest minimal antibiotic impact on resistance; only 7.83% view it as amajor concern. The respondents exhibited substantial preference heterogeneity, and the general Vietnamese public had poor knowledge of and attitudes toward antibiotic use and antibiotic resistance. This study emphasizes the need for individual responsibility for antibiotic resistance and appropriate antibiotic use.
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http://dx.doi.org/10.1080/13548506.2024.2342589 | DOI Listing |
J Appl Microbiol
September 2025
Mahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed-to-be-University), Pillaiyarkuppam, Pondicherry - 607 402, India.
Aim: To investigate the phenotypic and genomic features of three multidrug-resistant (MDR) clinical mucoid and non-mucoid uropathogenic Escherichia coli (UPEC) strains to understand their antimicrobial resistance, biofilm formation, and virulence in urinary tract infections (UTIs).
Methods And Results: The UPEC strains A5, A10, and A15 were isolated from two UTI patients. Phenotypic assays included colony morphology, antibiotic susceptibility, motility, and biofilm formation.
Vet Med Sci
September 2025
Department of Pharmacology and Toxicology, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
The emergence of antimicrobial resistance (AMR) Escherichia coli in poultry farming is a growing global public health concern, particularly in Bangladesh, where the use of antibiotics remains largely unregulated. This study aimed to determine the prevalence and AMR patterns of E. coli isolated from broiler chickens in Sylhet district of Bangladesh and to investigate the network of coexisting resistance traits among the isolates.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Medical Microbiology Department, College of Medicine, Ibn Sina University of Medical and Pharmaceutical Sciences, Baghdad, Iraq.
Pseudomonas aeruginosa is a prominent opportunistic pathogen, especially in burn wound infections, and is often associated with high morbidity and mortality due to its multidrug resistance (MDR) characteristics.This study aimed to evaluate the multidrug resistance profile and perform a molecular phylogenetic analysis of P. aeruginosa isolates recovered from human burn infection sample .
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Department of Public Health, College of Applied Medical Sciences, Qassim University, Buraydah, 51452 P.O. Box 6666, Saudi Arabia.
Foodborne illnesses pose a significant public health threat globally, particularly in Saudi Arabia, where the rapid growth of the food service sector has increased the risk of exposure to multidrug-resistant (MDR) bacteria. Traditional microbiological methods are often time-consuming and may lack precision, highlighting the need for faster and more accurate diagnostic alternatives. In this study, Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) was employed for the rapid and precise identification of bacterial contaminants in ready-to-eat (RTE) foods, alongside an assessment of their antibiotic resistance profiles.
View Article and Find Full Text PDFArch Microbiol
September 2025
Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.
Salmonella enterica serovar Typhi, the etiological agent of Typhoid fever, remains a critical public health concern associated with high morbidity in many developing countries. The widespread emergence of multidrug-resistant (MDR) Salmonella Typhi strains against the fluoroquinolone group of antibiotics, particularly ciprofloxacin, poses a significant global therapeutic challenge with underlying resistance due to mutations in quinolone-resistance determining region (QRDR) of gyrA gene, encoding DNA gyrase subunit A (GyrA). In pursuit of alternative therapeutic candidates, the present study was designed to evaluate ciprofloxacin analogues against prevalent GyrA mutations (S83F, D87G, and D87N) to overcome fluoroquinolone resistance through machine learning (ML)-based approach.
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