Evidence map›Paper›PMID 39076606›Full record

ReviewScience in One Health2022

One Health approaches adapted in low resource settings to address antimicrobial resistance.

Ripan Biswas, Chanchal Debnath, Samiran Bandyopadhyay, Indranil Samanta

Abstract readReview
In one paragraph

Review in Science in One Health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A One Health Perspective onMicroorganisms · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Power of One Health: the first year ofScience in One Health · 2023
    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

4 authors.

Ripan BiswasDepartment of Veterinary Public Health, F/o Veterinary and Animal Sciences, West Bengal University of Animal and Fishery Sciences, 37, K. B. Sarani, Kolkata, 700037, West Bengal, India.
Chanchal DebnathDepartment of Veterinary Public Health, F/o Veterinary and Animal Sciences, West Bengal University of Animal and Fishery Sciences, 37, K. B. Sarani, Kolkata, 700037, West Bengal, India.
Samiran BandyopadhyayICAR-Indian Veterinary Research Institute, Eastern Regional Station, Kolkata, West Bengal, India.
Indranil SamantaDepartment of Veterinary Microbiology, F/o Veterinary and Animal Sciences, West Bengal University of Animal and Fishery Sciences, 37, K. B. Sarani, Kolkata, 700037, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inter-disciplinary collaborations are now considered as key factors for integrated health system strengthening. Its application in the domain of One Health needs more milestones to achieve. Other than the human health sector, the antimicrobials are used in food animals and aquaculture for therapy, prophylaxis and growth promotion which significantly contributes to the development of antimicrobial resistance. It is the high time to develop a sustainable collaboration between the concerned sectors of One Health for a resilient health system. The domain of One Health not only mitigates the emergence of antimicrobial resistance but also helps in realizing the surveillance and epidemiology of zoonotic diseases, and the control of public health emergencies such as COVID-19. The review identified the key One Health strategies adapted by India, the exemplary low resource settings, to address antimicrobial resistance and zoonosis.

Indexed as

Agriculture, Aquaculture, LivestockAntimicrobial resistanceIndiaOne HealthWildlife

Identifiers

PMID39076606
PMCPMC11262262

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.