ArticleBMC public health2020
The challenges of investigating antimicrobial resistance in Vietnam - what benefits does a One Health approach offer the animal and human health sectors?
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Community-Acquired Antimicrobial Resistant Enterobacteriaceae in Central America: A One Health Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Article
- Burden and resistance of Gram-negative pathogens in ICU-acquired infections in Vietnam: a cross-sectional study.Iranian journal of microbiology · 2026Article
- Article
- The Rising Threat of Antibiotic Resistance in Poultry: Veterinary and One Health Perspectives.Veterinary sciences · 2025Review
- One Health strategies in combating antimicrobial resistance: a Southeast Asian perspective.Journal of global health · 2025Review
- Challenges and opportunities for AMR research in the ASEAN following the One Health approach.One health (Amsterdam, Netherlands) · 2025Article
- Antimicrobial Resistance in Bacteria from Meat and Meat Products: A One Health Perspective.Microorganisms · 2023Review
- Strengthening antimicrobial resistance surveillance systems: a scoping review.BMC infectious diseases · 2023Article
- Molecular Epidemiology ofPathogens (Basel, Switzerland) · 2023Article
- One Health Surveillance of Antimicrobial Use and Resistance: Challenges and Successes of Implementing Surveillance Programs in Sri Lanka.Antibiotics (Basel, Switzerland) · 2023Article
- Antibiotic-Resistant Bacteria, Antimicrobial Resistance Genes, and Antibiotic Residue in Food from Animal Sources: One Health Food Safety Concern.Microorganisms · 2023Article
- Outpatient antibiotic prescribing for acute respiratory infections in Vietnamese primary care settings by the WHO AWaRe (Access, Watch and Reserve) classification: An analysis using routinely collected electronic prescription data.The Lancet regional health. Western Pacific · 2023Article
- A systematic review and meta-analysis of integrated studies on antimicrobial resistance in Vietnam, with a focus onOne health (Amsterdam, Netherlands) · 2022Review
- Country data on AMR in Vietnam in the context of community-acquired respiratory tract infections: links between antibiotic susceptibility, local and international antibiotic prescribing guidelines, access to medicines and clinical outcome.The Journal of antimicrobial chemotherapy · 2022Article
- Decades of emerging infectious disease, food safety, and antimicrobial resistance response in Vietnam: The role of One Health.One health (Amsterdam, Netherlands) · 2022Article
- Role of regulatory capacity in the animal and human health systems in driving response to zoonotic disease outbreaks in the the Mekong region.One health (Amsterdam, Netherlands) · 2022Article
- Ethical health security in the age of antimicrobial resistance.BMJ global health · 2022Article
- Genetic Comparison of ESBL-ProducingAntibiotics (Basel, Switzerland) · 2021Article
- Public Policies and One Health in Brazil: The Challenge of the Disarticulation.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 5 countries.
Funding
Abstract
backgroundThe One Health concept promotes the enhancement of human, animal and ecosystem health through multi-sectorial governance support and policies to combat health security threats. In Vietnam, antimicrobial resistance (AMR) in animal and human health settings poses a significant threat, but one that could be minimised by adopting a One Health approach to AMR surveillance. To advance understanding of the willingness and abilities of the human and animal health sectors to undertake investigations of AMR with a One Health approach, we explored the perceptions and experiences of those tasked with investigating AMR in Vietnam, and the benefits a multi-sectorial approach offers.
methodsThis study used qualitative methodology to provide key informants' perspectives from the animal and human health sectors. Two scenarios of food-borne AMR bacteria found within the pork value chain were used as case studies to investigate challenges and opportunities for improving collaboration across different stakeholders and to understand benefits offered by a One Health approach surveillance system. Fifteen semi-structured interviews with 11 participants from the animal and six from the human health sectors at the central level in Hanoi and the provincial level in Thai Nguyen were conducted.
resultsEight themes emerged from the transcripts of the interviews. From the participants perspectives on the benefits of a One Health approach: (1) Communication and multi-sectorial collaboration; (2) Building comprehensive knowledge; (3) Improving likelihood of success. Five themes emerged from participants views of the challenges to investigate AMR: (4) Diagnostic capacity; (5) Availability and access to antibiotics (6) Tracing ability within the Vietnamese food chain; (7) Personal benefits and (8) Managing the system.
conclusionThe findings of this study suggest that there is potential to strengthen multi-sectorial collaboration between the animal and human health sectors by building upon existing informal networks. Based on these results, we recommend an inclusive approach to multi-sectorial communication supported by government network activities to facilitate partnerships and create cross-disciplinary awareness and participation. The themes relating to diagnostic capacity show that both sectors are facing challenges to undertake investigations in AMR. Our results indicate that the need to strengthen the animal health sector is more pronounced.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.