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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

The impact of body size on Aedes [Stegomyia] aegypti wingbeat frequency: implications for mosquito identification

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Author(s):
de Nadai, B. L. [1] ; Maletzke, A. G. [2] ; Corbi, J. J. [1] ; Batista, G. E. A. P. A. [3] ; Reiskind, M. H. [4]
Total Authors: 5
Affiliation:
[1] Univ Sao Paulo, Dept Hydraul Engn & Sanitat, Sao Carlos, SP - Brazil
[2] Western Parana State Univ, Comp Sci Dept, Foz Do Iguassu, Parana - Brazil
[3] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW - Australia
[4] North Carolina State Univ, Dept Entomol & Plant Pathol, Campus Box 7613, Raleigh, NC 27695 - USA
Total Affiliations: 4
Document type: Journal article
Source: Medical and Veterinary Entomology; v. 35, n. 4 JUL 2021.
Web of Science Citations: 0
Abstract

Billions of people are at risk due to mosquito-borne diseases. Ideally, the control of mosquito-borne diseases should integrate mosquito control and surveillance to maximize transmission prevention while minimizing environmental impacts. Mosquito surveillance is often limited in scope by logistical constraints, especially the labour and expertise in identifying captured mosquitoes. Mosquito sounds, primarily the wingbeat frequencies (WBF), have been extensively studied in the literature, often targeting a straightforward assessment of this technology with species identification in laboratory conditions. Optical sensors for measuring the WBF of free-flying mosquitoes are the most recent proposal to automate species identification. However, many of the factors that may influence WBF within and between species have not been fully examined, resulting in failures in the species identification. Here we show that body size and temperature modify the wingbeat frequency of female Aedes {[}Stegomyia] aegypti Linnaeus (Diptera:Culicidae) and such an optical sensor can capture these alterations. We demonstrate that this study's optical sensor can distinguish wingbeat frequency from large and small mosquitoes at different temperatures. The relationship between WBF and size should be taken into account to improve the accuracy of devices that automatically identify species using WBF. (AU)

FAPESP's process: 16/24622-9 - Study of mosquito Aedes aegypti frequency wings beat using intelligent sensors: simulation of different environmental conditions in laboratory
Grantee:Barbara Lepretti de Nadai
Support Opportunities: Scholarships in Brazil - Doctorate