Field efficacy of the BG-Sentinel compared with CDC backpack aspirators and CO2 - baited EVS traps for collection of adult Aedes Aegypti in Cairns, Queensland, Australia

Williams, Craig R., Long, Sharron A., Russell, Richard C., and Ritchie, Scott A. (2006) Field efficacy of the BG-Sentinel compared with CDC backpack aspirators and CO2 - baited EVS traps for collection of adult Aedes Aegypti in Cairns, Queensland, Australia. Journal of the American Mosquito Control Association, 22 (2). pp. 296-300.

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Abstract

In this study, we compared the efficacy of the newly available BG-Sentinel with an established "gold standard,", the CDC Backpack Aspirator, and a CO2-baited EVS trap for the collection of Aedes aegypti (L.) in Cairns, Australia. BG-Sentinels collected significantly more (P = 0.017) female Ae. aegypti (mean per collection, 1.92 +/- 0.39) than both the CDC Backpack Aspirator (1.00 +/- 0.35) and the EVS trap (0.71 +/- 0.27). Male-only and combined male-female Ae. aegypti collections for th BG-Sentinel and the CDC Backpack Aspirator were also greater than EVS trap collections. The CDC Backpack Aspirator and the BG-Sentinel captured proportionally fewer females compared with the EVS trap. The BG-Sentinel was the most Ae. aegypti specific collection method. The CDC Backpack Aspirator collected proportionally more bloodfed Ae. aegypti than the other methods, which collected a greater proportion of nullipars. The data presented here will aid researchers in deciding what Ae. aegypti sampling device best suits their needs. BG-Sentinels and CDC Backpack Aspirators should be considered as alternatives to human-bait collections for Ae. aegypti sampling.

Item ID: 3674
Item Type: Article (Research - C1)
ISSN: 1943-6270
Keywords: aedes aegypti; BG-Sentinel; CDC Backpack Aspirator; EVS trap; Australia
Date Deposited: 08 Dec 2009 22:54
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111799 Public Health and Health Services not elsewhere classified @ 100%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
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