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Impact of visual features on capture of Aedes aegypti with host decoy traps (HDT)

Impact of visual features on capture of Aedes aegypti with host decoy traps (HDT)

Tang, J. Y., Kosgei, J., Ochomo, E., Ndenga, B. A., Ghiaseddin, R., Lobo, N. F., Hawkes, F. M. ORCID: 0000-0002-0964-3702 and O'Tousa, J. E. (2020) Impact of visual features on capture of Aedes aegypti with host decoy traps (HDT). Medical and Veterinary Entomology. ISSN 0269-283X (Print), 1365-2915 (Online) (In Press) (doi:https://doi.org/10.1111/mve.12482)

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Abstract

The host decoy trap (HDT) is a surveillance trap that presents a combination of heat, visual and odour stimuli to attract bloodmeal‐seeking mosquitoes. Here we employed a semi‐field study to demonstrate the role of the visual attributes present on the HDT on the effectiveness of Aedes aegypti capture. Our results show that the HDT is an effective means of capturing Ae. aegypti mosquitoes in semi‐field conditions, with a per trial capture rate of up to 69% across four visually distinct HDTs. The solid black coloured HDT captured more mosquitoes than HDTs with black‐white stripes, black‐white checkerboard patches or solid white colour by a factor of 1.9, 1.7 and 1.5, respectively. In all cases, mosquito capture was not evenly distributed on the HDT surface, with captures on the HDT's outer downwind half, away from the odour delivery, exceeding captures on the inner upwind half. We conclude that the solid black surface of the original HDT design is more effective than the other surfaces (white or black/white patterns) for the capture of Ae. aegypti. Our results demonstrate that mosquito attraction to the thermal and odorant cues of the HDT is modulated by visual information.

Item Type: Article
Uncontrolled Keywords: Mosquito visual behavior; Vector surveillance; Host Decoy Trap; Mosquito vision
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Last Modified: 01 Oct 2020 20:46
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/29850

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