Evidence map›Paper›PMID 36741759›Full record

ArticleFrontiers in bioengineering and biotechnology2023

An IoT-based smart mosquito trap system embedded with real-time mosquito image processing by neural networks for mosquito surveillance.

Wei-Liang Liu, Yuhling Wang, Yu-Xuan Chen, Bo-Yu Chen, Arvin Yi-Chu Lin, Sheng-Tong Dai, Chun-Hong Chen, Lun-De Liao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Wei-Liang LiuNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan Township, Taiwan.
Yuhling WangInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Zhunan Township, Taiwan.
Yu-Xuan ChenNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan Township, Taiwan.
Bo-Yu ChenNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan Township, Taiwan.
Arvin Yi-Chu LinInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Zhunan Township, Taiwan.
Sheng-Tong DaiInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Zhunan Township, Taiwan.
Chun-Hong ChenNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan Township, Taiwan.
Lun-De LiaoInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Zhunan Township, Taiwan.
National Health Research Institutes · TWNational Cheng Kung University · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An essential aspect of controlling and preventing mosquito-borne diseases is to reduce mosquitoes that carry viruses. We designed a smart mosquito trap system to reduce the density of mosquito vectors and the spread of mosquito-borne diseases. This smart trap uses computer vision technology and deep learning networks to identify features of live

Indexed as

Aedes aegypticomputer vision technologyCulex quinquefasciatusdeep learningmosquito-borne diseases

Identifiers

PMID36741759
PMCPMC9895108
OpenAlexW4317630279

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.