ReviewThe American journal of tropical medicine and hygiene2023
A Review of the Surveillance Techniques for Aedes albopictus.
Review in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed, 15 citations in OpenAlex.
- Effects of urban building structures on the distribution of breeding sites and ovitrap egg counts of Aedes albopictus in Pfaffengrund, Heidelberg, Germany.Parasites & vectors · 2026Article
- Field Efficacy of Seven Nighttime Ultra-Low-Volume Spraying Strategies AgainstChina CDC weekly · 2026Article
- Evaluation of Insecticide Resistance inInsects · 2026Article
- Drone-based microclimate analytics reveal vegetation-shade interaction as a key environmental drivers of Aedes-prone microhabitat suitability.Scientific reports · 2026Article
- Entomological Surveillance ofJournal of arthropod-borne diseases · 2026Article
- Evaluating AI-based mosquito monitoring technologies: a field study in Zhejiang Province, 2025.Frontiers in veterinary science · 2026Article
- Enhancing Entomological Surveillance to CombatJournal of tropical medicine · 2026Article
- The toolbox for mosquito vector research.Parasites & vectors · 2025Review
- An improved ovitrap-based surveillance framework: facilitating cost-efficient monitoring and efficacy assessment of integrated vector management strategies for dengue outbreak control.Parasites & vectors · 2025Article
- Assessing the spatio-temporal risk of Aedes-borne arboviral diseases in non-endemic regions: The case of Northern Spain.PLoS neglected tropical diseases · 2025Article
- Real-time dynamic monitoring and multiplex PCR identification of vector mosquitoes in Zhejiang, China.PLoS neglected tropical diseases · 2025Article
- Efficacy of COFrontiers in veterinary science · 2025Article
- Potential Way to Develop Dengue Virus Detection inTropical medicine and infectious disease · 2024Review
- Aedes albopictus distribution in Ibagué, Colombia: Potential risk of arboviral outbreaksBiomedica : revista del Instituto Nacional de Salud · 2023Article
- Assessing the Effectiveness of Qista Baited Traps in Capturing Mosquito Vectors of Diseases in the Camargue Region (France) and Investigating Their Diversity.Animals : an open access journal from MDPI · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aedes (Stegomyia) albopictus (Skuse) (Diptera: Culicidae) transmits a variety of arboviruses (arthropod-borne viruses) and acts as one of the most dangerous mosquito species in the world. Mosquito surveillance is the main means of evaluating vector density, vector-borne disease risk, and the efficacy of vector-control operations. The larval density of Ae. albopictus can be reflected by means of Breteau index and Route index, and egg density can be monitored by ovitrap and mosq-ovitrap, whereas mosquito surveillance methods mainly include human landing catch, human-baited double net trap, BG-Sentinel trap, autocidal gravid ovitrap, gravid Aedes trap, and mosquito magnet. This article describes different methods of Ae. albopictus surveillance and offers suggestions to improve surveillance.
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Registered trials
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.