Vector population monitoring tools for insecticide resistance management: Myth or fact?
| Autor: | Konstantinos Mavridis, John Vontas |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
0301 basic medicine Decision support system Evidence-based practice Mosquito Control Computer science Health Toxicology and Mutagenesis Population Mosquito Vectors 01 natural sciences Scientific evidence Terminology Insecticide Resistance 03 medical and health sciences Animals education education.field_of_study Vector control General Medicine 010602 entomology 030104 developmental biology Risk analysis (engineering) Software deployment Vector (epidemiology) Database Management Systems Agronomy and Crop Science |
| Zdroj: | Pesticide biochemistry and physiology. 161 |
| ISSN: | 1095-9939 |
| Popis: | Insecticide resistance is a large and growing problem for the control of mosquito disease vectors. The World Health Organization (WHO) established the Global Plan for Insecticide Resistance Management (GPIRM) in 2012. In that context, both classical and molecular tools, as well as entomological databases and decision support platforms have been developed and used for IRM. Despite major advances in the molecular elucidation of resistance mechanisms and the development of diagnostic tools, their impact on disease control programs has been limited. In most cases diagnostic tools provide a retrospective examination of changes imposed by insecticides rather than a prospective analysis to guide vector control strategies. The uncertainty of the predictive value of markers, the assay robustness and the common misconceptions in resistance diagnosis terminology are continuing challenges in monitoring vector resistance. Furthermore, an often logistics, as opposed to systematic scientific evidence, based approach to decision for the use of the very few alternative chemicals in vector control, has reduced the value of resistance monitoring in practice. The current deployment of new insecticidal active ingredients should necessitate the application of companion diagnostics (CDx) and the development of modern ways for interpretation and management of the data by trained programme managers. This will establish their real value for use in decision-making, in line with evidence based choice of chemicals in agriculture and medical applications. |
| Databáze: | OpenAIRE |
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