Evidence map›Paper›PMID 36963007›Full record

ArticlePLOS global public health2023

Global trends in antimicrobial use in food-producing animals: 2020 to 2030.

Ranya Mulchandani, Yu Wang, Marius Gilbert, Thomas P Van Boeckel

Full text read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 224 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed, 3 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

224 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled prevalence of Escherichia coli phenotypic and genotypic antimicrobial resistance profiles in poultry: systematic review and meta-analysis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Pooled it
  4. Trial
  5. Review
  6. New microbes and new infections · 2026
    Review
  7. Review
  8. Article
  9. Article
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  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Sales of antimicrobials for veterinary use, Bangladesh, 2023.Bulletin of the World Health Organization · 2026
    Article
  18. Climate change and antimicrobial resistance.Nature reviews. Microbiology · 2026
    Review
  19. Article
  20. Article

164 more citing papers are in PubMed but not listed here.

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

4 authors.

Ranya MulchandaniHealth Geography and Policy Group, ETH Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5157-1060
Yu WangHealth Geography and Policy Group, ETH Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2395-2373
Marius GilbertSpatial Epidemiology Lab, Université Libre de Bruxelles, Brussels, Belgium.
Thomas P Van BoeckelHealth Geography and Policy Group, ETH Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-6556-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of antimicrobials in farming has enabled the growth of intensive animal production and helped in meeting the global increase in demand for animal protein. However, the widespread use of veterinary antimicrobials drives antimicrobial resistance, with important consequences for animal health, and potentially human health. Global monitoring of antimicrobial use is essential: first, to track progress in reducing the reliance of farming on antimicrobials. Second, to identify countries where antimicrobial-stewardship efforts should be targeted to curb antimicrobial resistance. Data on usage of antimicrobials in food animals were collected from 42 countries. Multivariate regression models were used in combination with projections of animal counts for cattle, sheep, chicken, and pigs from the Food and Agriculture Organization to estimate global antimicrobial usage of veterinary antimicrobials in 2020 and 2030. Maps of animal densities were used to identify geographic hotspots of antimicrobial use. In each country, estimates of antimicrobial use (tonnes) were calibrated to match continental-level reports of antimicrobial use intensity (milligrams per kilogram of animal) from the World Organization for Animal Health, as well as country-level reports of antimicrobial use from countries that made this information publicly available. Globally, antimicrobial usage was estimated at 99,502 tonnes (95% CI 68,535-198,052) in 2020 and is projected, based on current trends, to increase by 8.0% to 107,472 tonnes (95% CI: 75,927-202,661) by 2030. Hotspots of antimicrobial use were overwhelmingly in Asia (67%), while <1% were in Africa. Findings indicate higher global antimicrobial usage in 2030 compared to prior projections that used data from 2017; this is likely associated with an upward revision of antimicrobial use in Asia/Oceania (~6,000 tonnes) and the Americas (~4,000 tonnes). National-level reporting of antimicrobial use should be encouraged to better evaluate the impact of national policies on antimicrobial use levels.

Identifiers

PMID36963007
PMCPMC10021213

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reference markers read7
identifiers read3
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.