Evidence map›Paper›PMID 40969553›Full record

ReviewFrontiers in cellular and infection microbiology2025

A one health perspective on multidrug-resistant bacterial infections: integrated approaches for surveillance, policy and innovation.

Chinenyenwa M D Ohia, Olutayo Israel Falodun, Lucky Icomiare Adebudo, Adeleye Solomon Bakarey

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Chinenyenwa M D OhiaDepartment of Environmental Health Sciences, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria.
Olutayo Israel FalodunDepartment of Microbiology, University of Ibadan, Ibadan, Nigeria.
Lucky Icomiare AdebudoEdo State Ministry of Agriculture and Food Security, Benin, Edo, Nigeria.
Adeleye Solomon BakareyInstitute for Advanced Medical Research and Training (IAMRAT), College of Medicine, University of Ibadan, Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidrug-resistant (MDR) bacterial infections represent a growing global health emergency, driven by interconnected human, animal, and environmental factors. This review adopts a One Health perspective to explore the transmission dynamics, operational integration, and innovative responses to antimicrobial resistance (AMR). Case studies from China, India, Nigeria, Thailand, and Brazil underscore the effectiveness of regulatory reforms, surveillance networks, and public engagement campaigns. Notably, Artificial Intelligence (AI) is transforming MDR management through real-time diagnostics and resistance prediction, though ethical concerns and infrastructure deficits in Low- and Middle-Income Countries (LMICs) remain barriers. Community-led initiatives, gender-sensitive education, and policy reforms are vital to curbing misuse and closing equity gaps. Despite successes, challenges such as fragmented governance, underfunded labs, and limited longitudinal research persist. A proactive, integrated One Health approach-linking clinical, environmental, and policy actions-is essential for reducing MDR burden. Investment in intersectoral surveillance, equitable AI deployment, and community empowerment is imperative for safeguarding antibiotics and ensuring global health resilience.

Indexed as

Bacterial InfectionsDrug Resistance, Multiple, BacterialHealth PolicyOne HealthAnimalsAnti-Bacterial AgentsArtificial IntelligenceBrazilChinaGlobal HealthHumansIndiaThailandAnti-Bacterial AgentsAI technologiesantimicrobial stewardshipenvironmental reservoirsglobal healthinter-sectoral collaborationsmultidrug-resistant (MDR) bacteriaone healthzoonotic MDR outbreaks

Identifiers

PMID40969553
PMCPMC12440884

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.