Evidence map›Paper›PMID 40993802›Full record

ArticleParasites & vectors2025

An improved ovitrap-based surveillance framework: facilitating cost-efficient monitoring and efficacy assessment of integrated vector management strategies for dengue outbreak control.

Xiang Guo, Shihan Liu, Xiaohua Liu, Kaihao Chen, Wushen Chen, Zhenyu Huang, Ziyao Li, Shu Zeng, Haiyang Chen, Qing He and 8 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2025. 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. Entomological Surveillance ofJournal of arthropod-borne diseases · 2026
    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

18 authors.

Xiang Guo *Institute 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, 510515, Guangdong, China.
Shihan Liu *Institute 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, 510515, Guangdong, 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, 510515, Guangdong, China.
Kaihao 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, 510515, Guangdong, China.
Wushen ChenLuohu Center for Disease Control and Prevention, Shenzhen, 518012, China.
Zhenyu HuangBao'an Center for Disease Control and Prevention, Shenzhen, 518101, China.
Ziyao LiInstitute 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, 510515, Guangdong, China.
Shu ZengInstitute 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, 510515, Guangdong, China.
Haiyang 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, 510515, Guangdong, China.
Qing HeInstitute 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, 510515, Guangdong, China.
Liu GeInstitute 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, 510515, Guangdong, China.
Yijia GuoPublic Health Service Center, Bao'an District, Shenzhen, 518126, China.
Xiaming ChenPublic Health Service Center, Bao'an District, Shenzhen, 518126, China.
Zhiqiang PengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Benyun ShiCollege of Computer and Information Engineering, Nanjing Tech University, Nanjing, 211816, China.
Jiming LiuDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, 999077, 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, 510515, Guangdong, 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, 510515, Guangdong, China. daizhouxh@163.com.

Funding

Guangzhou Synergy Innovation Key Program for Health 201803040006National Key R&D Program of China 2020YFC120104National Natural Science Foundation of China 82072311National Parasitic Resources Center, and the Ministry of Science and Technology fund NPRC-2019-194-30the Key R&D Program of Guangdong Province 2022B1111030002
6 · The paper itself

Abstract

backgroundDengue fever, transmitted primarily by Aedes aegypti and Ae. albopictus, remains one of the most pervasive mosquito-borne diseases worldwide. In China, the mosquito oviposition trap (MOT) - based Aedes monitoring system has become a cornerstone for dengue prevention and control. However, during outbreaks, this system faces operational challenges because of its labour-intensive nature and time requirements, limiting its efficiency for rapid vector control assessment.

methodsBased on the oviposition behavior of Ae. albopictus, a novel Improved Ovitrap (IMT) was designed, featuring a bucket-shaped body and a thermoplastic elastomer (TPE) oviposition band. Two field investigations were conducted in Guangzhou, Guangdong Province, China. Field Investigation 1 focused on continuous mosquito surveillance to evaluate the effectiveness of the IMT. Distance-incremental spatial autocorrelation analysis was performed to determine the monitoring radius of the IMTs, and suitable sampling fractions were estimated to identify the optimal sampling density. Field Investigation 2 aimed to compare the monitoring effectiveness of the IMT and the standard MOT for Ae. albopictus. Finally, an IMT-based surveillance strategy was proposed for local dengue epidemic control and was preliminarily implemented within case-area targeted intervention (CATI) practices.

resultsOur research established a significant positive correlation between the newly developed new Ovitrap Index (NOI) and the existing mosquito or oviposition positive index (MOI), which facilitated the creation of a IMT based surveillance strategy for dengue outbreak response. This optimized system recommends deploying six IMTs per standard 120,000 m2 CATI zone, maintaining continuous 24-hour monitoring cycles until official outbreak resolution, and implementing NOI threshold categories (0, 0-10, 10-20, 20-40, and ≥40) analogous to established MOI standards. Following successful implementation during three 2024 Guangdong CATI initiatives, this strategy has proven adaptable to complex urban environments while providing daily surveillance capabilities superior to those of conventional MOI-based systems.

conclusionsIn the present study, the IMT was developed and evaluated for field surveillance of Ae. albopictus mosquitoes. The core usage parameters of the IMT-based surveillance system, including the working radius and area deployment density, have been determined using systematic field investigations combined with mathematical modelling assessments. Furthermore, a novel strategy utilizing the IMT for evaluating the efficacy of integrated mosquito vector management in CATI during dengue outbreaks has been proposed. Preliminary results have confirmed the feasibility of using the IMT at outbreak sites, providing valuable support for CATI-based implementation. This innovative monitoring system offers an alternative solution and implementation strategy for conducting cost-effective surveillance of the dengue vector Ae. albopictus, as well as for evaluating the efficacy of integrated vector management during outbreaks.

Indexed as

AedesDengueDisease OutbreaksMosquito ControlMosquito VectorsAnimalsChinaCost-Benefit AnalysisEpidemiological MonitoringFemaleHumansOvipositionAedes albopictusDengue outbreakIntegrated mosquito vector managementOviposition trapSurveillance system

Identifiers

PMID40993802
PMCPMC12462179

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LicenceCC BY
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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.