Evidence map›Paper›PMID 37118162›Full record

ArticleNature food2021

Geographically targeted surveillance of livestock could help prioritize intervention against antimicrobial resistance in China.

Cheng Zhao, Yu Wang, Katie Tiseo, João Pires, Nicola G Criscuolo, Thomas P Van Boeckel

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Antimicrobial resistance prevalence inApplied and environmental microbiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 2002-2022 Quinolone Resistance inVeterinary sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Genomic analysis of almost 8,000Microbiology spectrum · 2023
    Article
  12. Antimicrobial Resistance in CommensalAntibiotics (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. 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

6 authors.

Cheng ZhaoInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3176-0593
Yu WangInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-2395-2373
Katie TiseoInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.
João PiresInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-9738-4423
Nicola G CriscuoloInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0394-0888
Thomas P Van BoeckelInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland. thomas.vanboeckel@env.ethz.ch.ORCID http://orcid.org/0000-0002-6556-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of antimicrobial resistance (AMR) in animals is being fuelled by the widespread use of veterinary antimicrobials. China is the largest global consumer of veterinary antimicrobials, and improving AMR surveillance strategies in this region could help prioritize intervention and preserve antimicrobial efficacy. Here we mapped AMR rates in pigs, chickens and cattle in China using 446 surveys of event-based surveillance between 2000 and 2019 for foodborne bacteria, in combination with geospatial models to identify locations where conducting new surveys could have the highest benefits. Using maps of uncertainty, we show that eastern China currently has the highest AMR rates, and southwestern and northeastern China would benefit the most from additional surveillance efforts. Instead of distributing new surveys evenly across administrative divisions, using geographically targeted surveillance could reduce AMR prediction uncertainty by two-fold. In a context of competing disease control priorities, our findings present a feasible option for optimizing surveillance efforts-and slowing the spread of AMR.

Identifiers

PMID37118162

What OpenQuestion holds

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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.