Literature DB >> 23205694

Productivity and population density estimates of the dengue vector mosquito Aedes aegypti (Stegomyia aegypti) in Australia.

C R Williams1, P H Johnson, T S Ball, S A Ritchie.   

Abstract

New mosquito control strategies centred on the modifying of populations require knowledge of existing population densities at release sites and an understanding of breeding site ecology. Using a quantitative pupal survey method, we investigated production of the dengue vector Aedes aegypti (L.) (Stegomyia aegypti) (Diptera: Culicidae) in Cairns, Queensland, Australia, and found that garden accoutrements represented the most common container type. Deliberately placed 'sentinel' containers were set at seven houses and sampled for pupae over 10 weeks during the wet season. Pupal production was approximately constant; tyres and buckets represented the most productive container types. Sentinel tyres produced the largest female mosquitoes, but were relatively rare in the field survey. We then used field-collected data to make estimates of per premises population density using three different approaches. Estimates of female Ae. aegypti abundance per premises made using the container-inhabiting mosquito simulation (CIMSiM) model [95% confidence interval (CI) 18.5-29.1 females] concorded reasonably well with estimates obtained using a standing crop calculation based on pupal collections (95% CI 8.8-22.5) and using BG-Sentinel traps and a sampling rate correction factor (95% CI 6.2-35.2). By first describing local Ae. aegypti productivity, we were able to compare three separate population density estimates which provided similar results. We anticipate that this will provide researchers and health officials with several tools with which to make estimates of population densities.
© 2012 The Royal Entomological Society.

Entities:  

Keywords:  Aedes aegypti (Stegomyia aegypti); Australia; abundance; density; model; pupal survey; trapping

Mesh:

Year:  2012        PMID: 23205694     DOI: 10.1111/j.1365-2915.2012.01051.x

Source DB:  PubMed          Journal:  Med Vet Entomol        ISSN: 0269-283X            Impact factor:   2.739


  14 in total

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Journal:  J Math Biol       Date:  2018-02-10       Impact factor: 2.259

2.  A Bayesian Hierarchical Model for Estimation of Abundance and Spatial Density of Aedes aegypti.

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Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

3.  Application of wMelPop Wolbachia Strain to Crash Local Populations of Aedes aegypti.

Authors:  Scott A Ritchie; Michael Townsend; Chris J Paton; Ashley G Callahan; Ary A Hoffmann
Journal:  PLoS Negl Trop Dis       Date:  2015-07-23

4.  A spatial simulation model for dengue virus infection in urban areas.

Authors:  Stephan Karl; Nilimesh Halder; Joel K Kelso; Scott A Ritchie; George J Milne
Journal:  BMC Infect Dis       Date:  2014-08-20       Impact factor: 3.090

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Journal:  Parasit Vectors       Date:  2015-02-19       Impact factor: 3.876

6.  Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.

Authors:  Siwi P M Wijayanti; Sunaryo Sunaryo; Suprihatin Suprihatin; Melanie McFarlane; Stephanie M Rainey; Isabelle Dietrich; Esther Schnettler; Roman Biek; Alain Kohl
Journal:  PLoS Negl Trop Dis       Date:  2016-03-11

7.  Predicting Wolbachia invasion dynamics in Aedes aegypti populations using models of density-dependent demographic traits.

Authors:  Penelope A Hancock; Vanessa L White; Scott A Ritchie; Ary A Hoffmann; H Charles J Godfray
Journal:  BMC Biol       Date:  2016-11-08       Impact factor: 7.431

8.  Imported dengue cases, weather variation and autochthonous dengue incidence in Cairns, Australia.

Authors:  Xiaodong Huang; Gail Williams; Archie C A Clements; Wenbiao Hu
Journal:  PLoS One       Date:  2013-12-13       Impact factor: 3.240

9.  Bionomic response of Aedes aegypti to two future climate change scenarios in far north Queensland, Australia: implications for dengue outbreaks.

Authors:  Craig R Williams; Gina Mincham; Scott A Ritchie; Elvina Viennet; David Harley
Journal:  Parasit Vectors       Date:  2014-09-19       Impact factor: 3.876

10.  Mapping the virome in wild-caught Aedes aegypti from Cairns and Bangkok.

Authors:  Martha Zakrzewski; Gordana Rašić; Jonathan Darbro; Lutz Krause; Yee S Poo; Igor Filipović; Rhys Parry; Sassan Asgari; Greg Devine; Andreas Suhrbier
Journal:  Sci Rep       Date:  2018-03-16       Impact factor: 4.379

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