Evidence map›Paper›PMID 36102785›Full record

ArticleEnvironmental science & technology2022

Antimicrobial Resistance in Aquaculture Environments: Unravelling the Complexity and Connectivity of the Underlying Societal Drivers.

Kelly Thornber, Abul Bashar, Md Salahuddin Ahmed, Ashley Bell, Jahcub Trew, Mahmudul Hasan, Neaz A Hasan, Md Mehedi Alam, Dominique L Chaput, Mohammad Mahfujul Haque and 1 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Draft genomes of multidrug-resistantMicrobiology resource announcements · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Co-Encapsulated ProbioticInternational journal of microbiology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kelly ThornberBiosciences, Geoffrey Pope Building, University of Exeter, Stocker Road, Exeter EX4 4QD, United Kingdom.ORCID 0000-0003-0484-8458
Abul BasharDepartment of Aquaculture, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.
Md Salahuddin AhmedBrahmaputra Laboratory, Quality Feed Ltd, Mymensingh 2200, Bangladesh.
Ashley BellBiosciences, Geoffrey Pope Building, University of Exeter, Stocker Road, Exeter EX4 4QD, United Kingdom.ORCID 0000-0003-0198-2205
Jahcub TrewBiosciences, Geoffrey Pope Building, University of Exeter, Stocker Road, Exeter EX4 4QD, United Kingdom.
Mahmudul HasanDepartment of Aquaculture, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.
Neaz A HasanDepartment of Aquaculture, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.
Md Mehedi AlamDepartment of Aquaculture, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.
Dominique L ChaputBiosciences, Geoffrey Pope Building, University of Exeter, Stocker Road, Exeter EX4 4QD, United Kingdom.
Mohammad Mahfujul HaqueDepartment of Aquaculture, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh.
Charles R TylerBiosciences, Geoffrey Pope Building, University of Exeter, Stocker Road, Exeter EX4 4QD, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food production environments in low- and middle-income countries (LMICs) are recognized as posing significant and increasing risks to antimicrobial resistance (AMR), one of the greatest threats to global public health and food security systems. In order to maximize and expedite action in mitigating AMR, the World Bank and AMR Global Leaders Group have recommended that AMR is integrated into wider sustainable development strategies. Thus, there is an urgent need for tools to support decision makers in unravelling the complex social and environmental factors driving AMR in LMIC food-producing environments and in demonstrating meaningful connectivity with other sustainable development issues. Here, we applied the Driver-Pressure-State-Impact-Response (DPSIR) conceptual framework to an aquaculture case study site in rural Bangladesh, through the analysis of distinct social, microbiological, and metagenomic data sets. We show how the DPSIR framework supports the integration of these diverse data sets, first to systematically characterize the complex network of societal drivers of AMR in these environments and second to delineate the connectivity between AMR and wider sustainable development issues. Our study illustrates the complexity and challenges of addressing AMR in rural aquaculture environments and supports efforts to implement global policy aimed at mitigating AMR in aquaculture and other rural LMIC food-producing environments.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialAquacultureGlobal HealthHumansRural PopulationAnti-Bacterial AgentsantibioticAntimicrobial resistanceaquacultureDPSIRenvironmentfood productionframeworkLMIC

Identifiers

PMID36102785
PMCPMC9631993

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.