Evidence map›Paper›PMID 41598952›Full record

ArticleInsects2026

Triple-Olfactory Mechanism Synergy: Development of a Long-Lasting DEET-Botanical Composite Repellent Against

Chen-Xu Lin, Xin-Yi Huang, Yi-Hai Sun, Bi-Hang Lan, An-Qi Deng, Le-Yan Chen, Qiu-Yun Lin, Xi-Tong Huang, Jun-Long Li, Cheng Wu and 1 more

Abstract read
In one paragraph

Article in Insects, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Chen-Xu LinDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Xin-Yi HuangDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Yi-Hai SunDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Bi-Hang LanDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
An-Qi DengDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Le-Yan ChenDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Qiu-Yun LinDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Xi-Tong HuangDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.
Jun-Long LiSchool of Life Science, Nanchang University, Nanchang 330031, China.
Cheng WuDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.ORCID 0009-0006-8343-5473
Li-Hua XieDepartment of Pathogen Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China.

Funding

National Nature Science Foundation of China 82402662Natural Science Foundation of Fujian Province 2023J01543the Fujian Medical University Qihang Fund 2021QH1005the Startup Project for High-Level Talents of Fujian Medical University XRCZX2020016
6 · The paper itself

Abstract

Mosquito-borne diseases, including dengue fever, chikungunya, and Zika, continue to pose a substantial global public health challenge. This is largely attributable to the absence of effective vaccines and the expanding distribution of vectors such as

Indexed as

Aedes albopictusDEET-citronella-camphor synergymosquito-borne disease controlorthogonal experimental designrepellent formulation

Identifiers

PMID41598952
PMCPMC12842024

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.