Bass, Chris, Nikou, Dimitra, Vontas, John, Donnelly, Martin ORCID: https://orcid.org/0000-0001-5218-1497, Williamson, Martin S. and Field, Linda M. (2010) 'The Vector Population Monitoring Tool (VPMT): High-Throughput DNA-Based Diagnostics for the Monitoring of Mosquito Vector Populations'. Malaria Research and Treatment, Vol 2010, pp. 1-8.
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Abstract
Regular monitoring of mosquito vector populations is an integral component of most vector control programmes. Contemporary data on mosquito species composition, infection status, and resistance to insecticides are a prerequisite for effective intervention. For this purpose we, with funding from the Innovative Vector Control Consortium (IVCC), have developed a suite of high-throughput assays based on a single “closed-tube” platform that collectively comprise the “Vector Population Monitoring Tool” (VPMT). The VPMT can be used to screen mosquito disease vector populations for a number of traits including Anopheles gambiae s.l. and Anopheles funestus species identification, detection of infection with Plasmodium parasites, and identification of insecticide resistance mechanisms. In this paper we focus on the Anopheles-specific assays that comprise the VPMT and include details of a new assay for resistance todieldrin Rdl detection. The application of these tools, general and specific guidelines on their use based on field testing in Africa, and plans for further development are discussed.
Item Type: | Article |
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Additional Information: | The original version is published at: http://www.sage-hindawi.com/journals/mrt/2010/190434/ |
Uncontrolled Keywords: | Innovative Vector Control Consortium (IVCC); Anopheles; Plasmodium; Vector control |
Subjects: | QX Parasitology > Protozoa > QX 135 Plasmodia QX Parasitology > Insects. Other Parasites > QX 515 Anopheles QX Parasitology > Insects. Other Parasites > QX 600 Insect control. Tick control QX Parasitology > Insects. Other Parasites > QX 650 Insect vectors WC Communicable Diseases > Tropical and Parasitic Diseases > WC 765 Prevention and control |
Digital Object Identifer (DOI): | https://doi.org/10.4061/2010/190434 |
Depositing User: | Users 183 not found. |
Date Deposited: | 01 Jun 2011 13:10 |
Last Modified: | 25 Jan 2022 09:20 |
URI: | https://archive.lstmed.ac.uk/id/eprint/2009 |
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