Evidence map›Paper›PMID 40424257›Full record

ArticlePLoS neglected tropical diseases2025

Real-time dynamic monitoring and multiplex PCR identification of vector mosquitoes in Zhejiang, China.

Qing He, Qinbao Lu, Ningzi Xie, Xiaohua Liu, Xinyi Wang, Jinren Pan, Sofia Litchev, Yuxin Hu, Xiaodong Li, Bin Zheng and 6 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. 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

16 authors.

Qing HeSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Qinbao LuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ningzi XieSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Xiaohua LiuInstitute of Tropical Medicine, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Guangzhou, China.
Xinyi WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Jinren PanZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Sofia LitchevDepartment of Chemistry & Biochemistry, University of California, Los Angeles, California, United States of America.
Yuxin HuSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Xiaodong LiSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Bin ZhengSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Junfen LinZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Enfu ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xiao-Guang ChenInstitute of Tropical Medicine, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Guangzhou, China.
Xiaohong ZhouInstitute of Tropical Medicine, Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangdong Provincial Key Laboratory of Tropical Disease Research; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes; Key Laboratory of Infectious Diseases Research in South China, Ministry of Education, Guangzhou, China.ORCID 0000-0003-4237-5436
QingMing KongSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Shaohong LuSchool of Basic Medicine and Forensics, Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.ORCID 0000-0001-9855-7154

Funding

Key R&D projects of Zhejiang provinceZhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents
6 · The paper itself

Abstract

The monitoring and identification of mosquito vectors are crucial for controlling the transmission of mosquito-borne diseases. Traditional mosquito morphological identification and surveillance methods, such as human landing catches, human-baited double net traps and BG-Sentinel mosquito traps, require a large amount of manpower but can only provide fragmented data. We utilized the MS-300, an internet-based vector mosquito monitor, to continuously capture and upload real-time data to cloud services across ten monitoring sites located in seven cities in Zhejiang Province, China from May to December 2023. A new multiplex PCR system was developed for amplifying the internal transcribed spacer 2 region, followed by employing both multiplex PCR and DNA barcoding techniques for detecting wild mosquitoes. A comprehensive monitoring of 9749 mosquitoes was conducted. The mosquito density gradually increased from May 2023, peaked around June 22nd, and then declined in a wave-like pattern. The mosquitoes have two peak activity times, the peak times may vary depending on different locations and seasons. The study showed the high specificity of a multiplex PCR system in distinguishing six mosquito species: Aedes albopictus, Aedes aegypti, Culex pipiens pallens, Armigeres subalbatus, Anopheles sinensis and Anopheles anthropophagus. Notably, the sensitivity of detecting An. anthropophagus reached an impressive 1fg/µL. With the exception of Ae. aegypti and An. anthropophagus, all four other mosquito species have been identified in Zhejiang Province, with Cx. p. pallens being the predominant population. The results were highly consistent with DNA barcoding technology. The MS-300 continuously and automatically monitors mosquito population density and activity, providing effective guidance for mosquito control based on the environment and reducing labor costs. Our newly established multiple PCR system enables precise identification of crucial vector mosquitoes, facilitating a comprehensive understanding of population structures across diverse regions for selecting effective control measures.

Indexed as

CulicidaeMosquito VectorsMultiplex Polymerase Chain ReactionAnimalsChinaDNA Barcoding, TaxonomicHumans

Identifiers

PMID40424257
PMCPMC12140415

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.