Evidence map›Paper›PMID 42482989›Full record

ReviewFrontiers in cellular and infection microbiology2026

Advances in rapid detection technologies for zoonotic diseases: a one health-oriented review.

Jidong Zhao, Xiang Hou, Gang Chang

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jidong ZhaoShaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, Xi'an, China.
Xiang HouShaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, Xi'an, China.
Gang ChangShaanxi Key Laboratory of Qinling Ecological Security, Shaanxi Institute of Zoology, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic diseases account for the majority of emerging infectious threats and pose unique diagnostic challenges because their surveillance and detection must bridge human, animal, and environmental health sectors. Unlike conventional infectious disease diagnostics, rapid detection of zoonotic pathogens often requires adaptation to cross-species transmission dynamics, heterogeneous sample matrices derived from wildlife, livestock, humans, and environmental sources, as well as field-based surveillance in resource-limited settings. In this review, we summarize recent advances in rapid detection technologies for zoonotic pathogens, including immunological assays, molecular diagnostics, isothermal amplification platforms, biosensors, and microfluidic systems. More importantly, we examine these technologies through a zoonosis-specific perspective by evaluating their suitability for major surveillance scenarios such as wildlife reservoir monitoring, farm-level screening, outbreak-site emergency detection, and laboratory confirmation. We further discuss how the One Health framework reshapes technical demands for pathogen detection, particularly in relation to sample complexity, portability, multiplexing, biosafety, and real-time data integration. Finally, we highlight current bottlenecks and future directions toward integrated, intelligent, and field-deployable diagnostic systems. This review provides a scenario-oriented and One Health-based reference for selecting and developing rapid detection tools for zoonotic disease surveillance and control.

Indexed as

One HealthZoonosesAnimalsAnimals, WildBiosensing TechniquesHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRapid Diagnostic Testsisothermal amplificationone healthpoint-of-care testingrapid detectionwildlife reservoir surveillancezoonotic diseases

Identifiers

PMID42482989
PMCPMC13384875

What Socratic 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 Socratic graph.