Evidence map›Paper›PMID 38278814›Full record

ArticleNature communications2024

Global surveillance of antimicrobial resistance in food animals using priority drugs maps.

Cheng Zhao, Yu Wang, Ranya Mulchandani, Thomas P Van Boeckel

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Climate change and antimicrobial resistance.Nature reviews. Microbiology · 2026
    Review
  5. Article
  6. Review
  7. Occurrence of Phenotypic Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Understanding antimicrobial resistance dynamics of non-typhoidal Salmonella in chickens and ducks - a prospective study from West Bengal, India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Carbapenem-resistantFrontiers in cellular and infection microbiology · 2026
    Article
  19. A spotlight on multidrug-resistantFrontiers in microbiology · 2026
    Review
  20. Genomic profiling of ESBL/AmpC-producingFrontiers in microbiology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Cheng ZhaoHealth Geography and Policy Group, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-3176-0593
Yu WangHealth Geography and Policy Group, ETH Zürich, Zürich, Switzerland.
Ranya MulchandaniHealth Geography and Policy Group, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-5157-1060
Thomas P Van BoeckelHealth Geography and Policy Group, ETH Zürich, Zürich, Switzerland. thomas.van.boeckel@gmail.com.ORCID 0000-0002-6556-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in food animals is a growing threat to animal health and potentially to human health. In resource-limited settings, allocating resources to address AMR can be guided with maps. Here, we mapped AMR prevalence in 7 antimicrobials in Escherichia coli and nontyphoidal Salmonella species across low- and middle-income countries (LIMCs), using 1088 point-prevalence surveys in combination with a geospatial model. Hotspots of AMR were predicted in China, India, Brazil, Chile, and part of central Asia and southeastern Africa. The highest resistance prevalence was for tetracycline (59% for E. coli and 54% for nontyphoidal Salmonella, average across LMICs) and lowest for cefotaxime (33% and 19%). We also identified the antimicrobial with the highest probability of resistance exceeding critical levels (50%) in the future (1.7-12.4 years) for each 10 × 10 km pixel on the map. In Africa and South America, 78% locations were associated with penicillins or tetracyclines crossing 50% resistance in the future. In contrast, in Asia, 77% locations were associated with penicillins or sulphonamides. Our maps highlight diverging geographic trends of AMR prevalence across antimicrobial classes, and can be used to target AMR surveillance in AMR hotspots for priority antimicrobial classes.

Indexed as

Anti-Bacterial AgentsEscherichia coliAnimalsBrazilDrug Resistance, BacterialHumansPenicillinsSalmonellaAnti-Bacterial AgentsPenicillins

Identifiers

PMID38278814
PMCPMC10817973

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.