ArticleJAC-antimicrobial resistance2021
Feasibility study of a field survey to measure antimicrobial usage in humans and animals in the Mekong Delta region of Vietnam.
Article in JAC-antimicrobial resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases.Frontiers in public health · 2023Pooled it
- Metagenomic profiling reveals shared resistome signatures between humans and pigs in Vietnamese smallholder farms.npj antimicrobials and resistance · 2026Article
- Prevalence and antimicrobial resistance ofOne health (Amsterdam, Netherlands) · 2025Review
- Participatory process to design community-driven solutions for reducing antibiotic use in chicken production in Vietnam.PloS one · 2025Article
- Antimicrobial resistance and biofilm formation ofHeliyon · 2023Article
- Impact of antimicrobial use on abundance of antimicrobial resistance genes in chicken flocks in Vietnam.JAC-antimicrobial resistance · 2023Article
- A systematic review and meta-analysis of integrated studies on antimicrobial resistance in Vietnam, with a focus onOne health (Amsterdam, Netherlands) · 2022Review
- Antimicrobial resistance in commensalJAC-antimicrobial resistance · 2022Article
- Global Distribution of Fluoroquinolone and Colistin Resistance and Associated Resistance Markers inFrontiers in microbiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundDevelopment of antimicrobial use (AMU) surveillance systems in humans and animals is a priority for many low- and middle-income countries; however accurate estimations are hampered by a diversity of animal production systems and metrics. The Mekong Delta region of Vietnam is a 'hotspot' of antimicrobial resistance and is home to a high density of humans and animal populations.
objectivesTo measure and compare AMU using different metrics (standing population, biomass and population correction unit) in the Mekong Delta, and to explore the potential of field-based data collection methods in the design of AMU surveillance systems.
methodsWe collected AMU data from humans and animals (chickens, ducks, Muscovy ducks, pigs) from 101 small-scale farms in the Mekong Delta over a fixed period (90 days in humans, 7 days in animals).
resultsHumans used 7.1 DDD
conclusionsUsing a One Health approach, we show that AMU can potentially be estimated from cross-sectional surveys, although results are hypothetical due to small sample size and are sensitive to the chosen population denominator. The methodology proposed here can potentially be scaled up be applied to design AMU surveillance in low-resource settings, allowing AMU reduction efforts to be focused on particular animal species.
Identifiers
What OpenQuestion holds
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.