Evidence map›Paper›PMID 42904247›Full record

ReviewFrontiers in microbiology2026

Arbovirus diagnostics: from conventional methods to emerging technologies-a chikungunya virus-centric review.

Yongqing Zhu, Jiaxuan Li, Haiyan Mao, Keda Chen, Jianhua Li

Abstract readReview
In one paragraph

Review in Frontiers in 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

5 authors.

Yongqing ZhuZhejiang Key Laboratory of Public Health Detection and Pathogenesis Research, Department of Microbiology, Zhejiang Provincial Center for Disease Control Prevention, Hangzhou, China.
Jiaxuan LiZhejiang Key Laboratory of Public Health Detection and Pathogenesis Research, Department of Microbiology, Zhejiang Provincial Center for Disease Control Prevention, Hangzhou, China.
Haiyan MaoZhejiang Key Laboratory of Public Health Detection and Pathogenesis Research, Department of Microbiology, Zhejiang Provincial Center for Disease Control Prevention, Hangzhou, China.
Keda ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Jianhua LiZhejiang Key Laboratory of Public Health Detection and Pathogenesis Research, Department of Microbiology, Zhejiang Provincial Center for Disease Control Prevention, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arboviruses remain an important global health concern because of their expanding distribution, diverse transmission patterns, and the challenges associated with accurate and timely diagnosis. This review is centered on Chikungunya virus (CHIKV) as a representative model, focusing on diagnostic strategies across different stages of infection and the key diagnostic pitfalls that affect CHIKV detection in co-circulation settings. In this review, we summarize current laboratory-based approaches for CHIKV detection and differential diagnosis, including virus isolation, antigen detection, nucleic acid amplification and serological assays, with discussion of their applications, strengths and limitations. We further review recent developments in emerging diagnostic technologies, including next-generation sequencing, CRISPR-based detection methods, aptamer-based recognition systems, biosensors, and point-of-care testing platforms, highlighting their potential advantages and current limitations. Comparative examples involving dengue virus (DENV) and Zika virus (ZIKV) are discussed specifically to illustrate cross-reactivity and misclassification risks relevant to CHIKV diagnosis. Particular attention is given to persistent issues affecting diagnostic accuracy and practical implementation, including serological cross-reactivity among co-circulating arboviruses and the challenges of translating advanced technologies into accessible tools for field and resource-limited settings. Overall, this review summarizes progress in CHIKV-relevant diagnostics and outlines future opportunities for developing more reliable, rapid, and widely applicable detection strategies.

Indexed as

arboviruseschikungunya virusdiagnostic techniquesemerging technologiespoint-of-care testing

Identifiers

PMID42904247
PMCPMC13682575

What OpenQuestion holds

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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.