Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Reductive Aromatization/Dearomatization and Elimination Reactions to Access Conjugated Polycyclic Hydrocarbons, Heteroacenes, and Cumulenes"    Next AbstractA Theoretical Perspective on the Actinic Photochemistry of 2-Hydroperoxypropanal »

Malar J


Title:Quantifying the mosquito's sweet tooth: modelling the effectiveness of attractive toxic sugar baits (ATSB) for malaria vector control
Author(s):Marshall JM; White MT; Ghani AC; Schlein Y; Muller GC; Beier JC;
Address:"Department of Infectious Disease Epidemiology, MRC Centre for Outbreak Analysis and Modelling, Imperial College London, London, UK. john.marshall@imperial.ac.uk"
Journal Title:Malar J
Year:2013
Volume:20130823
Issue:
Page Number:291 -
DOI: 10.1186/1475-2875-12-291
ISSN/ISBN:1475-2875 (Electronic) 1475-2875 (Linking)
Abstract:"BACKGROUND: Current vector control strategies focus largely on indoor measures, such as long-lasting insecticide treated nets (LLINs) and indoor residual spraying (IRS); however mosquitoes frequently feed on sugar sources outdoors, inviting the possibility of novel control strategies. Attractive toxic sugar baits (ATSB), either sprayed on vegetation or provided in outdoor bait stations, have been shown to significantly reduce mosquito densities in these settings. METHODS: Simple models of mosquito sugar-feeding behaviour were fitted to data from an ATSB field trial in Mali and used to estimate sugar-feeding rates and the potential of ATSB to control mosquito populations. The model and fitted parameters were then incorporated into a larger integrated vector management (IVM) model to assess the potential contribution of ATSB to future IVM programmes. RESULTS: In the Mali experimental setting, the model suggests that about half of female mosquitoes fed on ATSB solution per day, dying within several hours of ingesting the toxin. Using a model incorporating the number of gonotrophic cycles completed by female mosquitoes, a higher sugar-feeding rate was estimated for younger mosquitoes than for older mosquitoes. Extending this model to incorporate other vector control interventions suggests that an IVM programme based on both ATSB and LLINs may substantially reduce mosquito density and survival rates in this setting, thereby substantially reducing parasite transmission. This is predicted to exceed the impact of LLINs in combination with IRS provided ATSB feeding rates are 50% or more of Mali experimental levels. In addition, ATSB is predicted to be particularly effective against Anopheles arabiensis, which is relatively exophilic and therefore less affected by IRS and LLINs. CONCLUSIONS: These results suggest that high coverage with a combination of LLINs and ATSB could result in substantial reductions in malaria transmission in this setting. Further field studies of ATSB in other settings are needed to assess the potential of ATSB as a component in future IVM malaria control strategies"
Keywords:"Animals Anopheles/*physiology Carbohydrates/*pharmacology Entomology/*methods Female Insecticides/*pharmacology Malaria/*prevention & control/transmission Male Mali Models, Statistical Mosquito Control/*methods Pheromones/*pharmacology;"
Notes:"MedlineMarshall, John M White, Michael T Ghani, Azra C Schlein, Yosef Muller, Gunter C Beier, John C eng G0600719/MRC_/Medical Research Council/United Kingdom MR/K010174/1/MRC_/Medical Research Council/United Kingdom Research Support, Non-U.S. Gov't England 2013/08/24 Malar J. 2013 Aug 23; 12:291. doi: 10.1186/1475-2875-12-291"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-11-2024