Optimal strategies for controlling riverine tsetse flies using targets: a modelling study
Vale, Glyn A., Hargrove, John W., Lehane, Michael J., Solano, Philippe and Torr, Stephen J. (2015) Optimal strategies for controlling riverine tsetse flies using targets: a modelling study. PLOS Neglected Tropical Diseases, 9 (3):e0003615. pp. 1-20. ISSN 1935-2735 (doi:https://doi.org/10.1371/journal.pntd.0003615)
|
PDF (OA_published 24March2015)
13616_VALE_PLOS_(OA_fpv_Accepted_11Feb2015).pdf - Published Version Available under License Creative Commons Attribution. Download (910kB) |
|
PDF (Acceptance email, 17Feb2015)
13616_VALE_PLOS_(OA_Acceptance_email_17Feb2015).pdf - Additional Metadata Restricted to Repository staff only Download (7kB) |
||
PDF (AAM (of GOLD), uploaded to meet basic HEFCE compliance)
13616_VALE_Tiny_targets_1st_submission_Dec222014_(AAM).pdf - Accepted Version Restricted to Repository staff only Download (1MB) |
Abstract
Background: Tsetse flies occur in much of sub-Saharan Africa where they transmit the trypanosomes that cause the diseases of sleeping sickness in humans and nagana in livestock. One of the most economical and effective methods of tsetse control is the use of insecticide-treated screens, called targets, that simulate hosts. Targets have been ~1m2, but recently it was shown that those tsetse that occupy riverine situations, and which are the main vectors of sleeping sickness, respond well to targets only ~0.06m2. The cheapness of these tiny targets suggests the need to reconsider what intensity and duration of target deployments
comprise the most cost-effective strategy in various riverine habitats.
Methodology/Principal Findings: A deterministic model, written in Excel spreadsheets and managed by Visual Basic for Applications, simulated the births, deaths and movement of tsetse confined to a strip of riverine vegetation composed of segments of habitat in which the tsetse population was either selfsustaining, or not sustainable unless supplemented by immigrants. Results suggested that
in many situations the use of tiny targets at high density for just a few months per year would be the most cost-effective strategy for rapidly reducing tsetse densities by the ~90% expected to have a great impact on the incidence of sleeping sickness. Local elimination of tsetse becomes feasible when targets are deployed in isolated situations, or where the only invasion occurs from populations that are not self-sustaining.
Conclusion/Significance: Seasonal use of tiny targets deserves field trials. The ability to recognise habitat that contains tsetse populations which are not self-sustaining could improve the planning of all methods of tsetse control, against any species, in riverine, savannah or forest situations. Criteria to assist such recognition are suggested.
Item Type: | Article |
---|---|
Additional Information: | [1] Citation: Vale GA, Hargrove JW, Lehane MJ, Solano P, Torr SJ (2015) Optimal Strategies for Controlling Riverine Tsetse Flies Using Targets: A Modelling Study. PLoS Negl Trop Dis 9(3): e0003615. doi:10.1371/journal.pntd.0003615 [2] Copyright: (C) 2015 Vale et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. [3] Data Availability Statement: All relevant data are within the paper. [4] Acknowledgement (funding): This study was funded by Zoonoses and Emerging Livestock Systems, grant number BB/ L019035/1, to SJT, and by The Special Programme for Research and Training in Tropical Diseases, with no grant number, to JWH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. |
Uncontrolled Keywords: | riverine tsetse flies, modelling study |
Subjects: | S Agriculture > S Agriculture (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > Natural Resources Institute |
Related URLs: | |
Last Modified: | 22 Nov 2017 11:54 |
URI: | http://gala.gre.ac.uk/id/eprint/13616 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year