Evidence map›Paper›PMID 40530168›Full record

ReviewFrontiers in insect science2025

One Health, many approaches: integrated vector management strategies support One Health goals.

Hannah S Tiffin, Jennifer R Gordon, Karen C Poh

Abstract readReview
In one paragraph

Review in Frontiers in insect science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  4. Review
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  10. Epidemiology of malaria and leishmaniasis in Thailand (2004-2025): A systematic review.Current research in parasitology & vector-borne diseases · 2026
    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

3 authors.

Hannah S TiffinDepartment of Entomology, University of Kentucky, Lexington, KY, United States.
Jennifer R GordonBug Lessons Consulting LLC, Wheat Ridge, CO, United States.
Karen C PohAnimal Disease Research Unit, Agricultural Research Service, United States Department of Agriculture, Pullman, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated pest management (IPM) laid the foundation for integrated vector management (IVM) by introducing strategies that prioritize prevention over intervention and the use of diverse management and control tools for arthropod vectors. Both approaches focus on reducing chemical reliance for management of targeted organisms by employing data-driven decisions and incorporating the use of additional non-chemical based management tactics. While IPM and IVM differ in their specific applications and management contexts, many of their fundamental principles remain the same. By diversifying prevention and control options, these management practices support healthier environments, animals, and populace, the three spheres of the One Health paradigm. One Health principles support and highlight the connections between animal, human, and environmental health and how these spheres influence one another. However, the connections and overlapping goals between IVM and One Health are infrequently discussed in tandem. This review will examine the numerous and varied methods of IVM for reducing global disease burden, detail the benefits of using IVM to achieve One Health goals, as well as benefits and considerations to incorporating a One Health lens with IVM.

Indexed as

integrated vector managementOne Healthpest managementvector-borne diseasevector control

Identifiers

PMID40530168
PMCPMC12171957

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.