Evidence map›Paper›PMID 39061316›Full record

ReviewAntibiotics (Basel, Switzerland)2024

From Herd Health to Public Health: Digital Tools for Combating Antibiotic Resistance in Dairy Farms.

Andra-Sabina Neculai-Valeanu, Adina-Mirela Ariton, Ciprian Radu, Ioana Porosnicu, Catalina Sanduleanu, Gabriela Amariții

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  4. Review
  5. Characterization ofFrontiers in veterinary science · 2026
    Article
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  7. Article
  8. Article
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  13. Review
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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.

Andra-Sabina Neculai-ValeanuResearch and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.ORCID 0000-0002-6022-583X
Adina-Mirela AritonResearch and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.ORCID 0000-0003-1586-2749
Ciprian RaduResearch and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.
Ioana PorosnicuResearch and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.ORCID 0009-0006-2687-6694
Catalina SanduleanuResearch and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.ORCID 0009-0009-3653-1085
Gabriela AmarițiiResearch and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.ORCID 0009-0003-6134-9708

Funding

Academy of Romanian Scientists YOUNG RESEARCHERS "AOȘR-TEAMS-III" EDITION 2024-2025 "DIGITAL TRANSFORMATION IN THE SCIENCES"
6 · The paper itself

Abstract

The emergence of antimicrobial resistance (AMR) is a significant threat to global food security, human health, and the future of livestock production. Higher rates of antimicrobial use in dairy farming and the sheer lack of new antimicrobials available for use focused attention on the question of how the dairy production sector contributed to the development of AMR and paved the path toward taking action to curtail it on the targeted type of farms. This paper aims to provide an introduction to a phenomenon that has gained considerable attention in the recent past due to its ever-increasing impact, the use of antimicrobial drugs, the emergence of antimicrobial resistance (AMR) on dairy farms, and seeks to discuss the possibilities of approaches such as digital health monitoring and precision livestock farming. Using sensors, data, knowledge, automation, etc., digital health monitoring, as well as Precision Livestock Farming (PLF), is expected to enhance health control and minimize disease and antimicrobial usage. The work presents a literature review on the current status and trends of AMR in dairy farms, an understanding of the concept of digital health monitoring and PLF, and the presentation and usefulness of digital health monitoring and PLF in preventing AMR. The study also analyses the strengths and weaknesses of adopting and incorporating digital technologies and artificial intelligence for dairy farming and presents areas for further study and level of use.

Indexed as

antimicrobial resistancedairy farmingdigital health monitoringprecision livestock farmingsustainability

Identifiers

PMID39061316
PMCPMC11273838

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.