ReviewFrontiers in cellular and infection microbiology2026
Advances in rapid detection technologies for zoonotic diseases: a one health-oriented review.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What Socratic holds
Registered trials
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.