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Insecticides for Mosquito Control: Strengthening the Evidence Base
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The eradication of vector-borne diseases is threatened by the limited range of available insecticides, leading, inevitably, to the development of resistance. This is particularly concerning for malaria control, which relies heavily on insecticide-treated nets (ITNs) and indoor residual sprays (IRS). New chemistries are being developed, and innovative deployment of insecticides may play a role in overcoming resistance, either through new types of tools or new means of distribution. A variety of novel product types and vector control strategies are under development and evaluation, which is to be celebrated, but a strong evidence base is needed to guide effective operational deployment decisions. Novel approaches should be supported by robust data collected using appropriate and validated methods to monitor efficacy, durability, and any emerging resistance. This reprint presents original research into developing and characterizing new vector control products, as well as understanding and monitoring insecticide resistance. Review articles explore the impact of insecticide resistance and offer guidance on insecticide choice in the face of pyrethroid resistance. Consensus methodologies are presented, in the form of standard operating procedures (SOPs) designed to be adopted and used to generate reproducible data that can be compared and interpreted across and between studies. It is hoped that this collection of articles offers inspiration and guidance on how consistent data can be generated to inform more effective development, evaluation, and use of new and existing vector control tools.
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Keywords
- Aedes aegypti
- Aedes albopictus
- anophèles
- anopheles gambiae
- Anopheles mosquito
- application technology
- ATSB
- Attractive Targeted Sugar Bait (ATSB)
- Attractive Toxic Sugar Bait (ATSB)
- automated identification
- bifenthrin
- bio-efficacy
- bioassay
- bioefficacy
- bioinsecticide
- bite-proof garment
- broflanilide
- clothianidin
- convolutional neural network
- Culex pipiens
- Culex quinquefasciatus
- cuticular resistance
- cytochrome P450s
- deltamethrin
- diagnostic bioassay
- disease transmission
- dual active ingredients (dual-AI)
- dual-AI ITN
- durability monitoring
- etofenprox
- Fertility
- host-seeking behavior
- human arm
- image classification
- imidacloprid
- insecticide
- insecticide exposure
- insecticide resistance
- insecticide resistance management
- insecticide resistance management (IRM)
- insecticide selection
- insecticide treated nets
- insecticide-resistance
- insecticide-treated net (ITN)
- insecticide-treated nets (ITN)
- interceptor
- interceptor G2
- Iroquois
- IRs
- ITNs
- kdr
- laboratory screening
- life tables
- Machine learning
- Malaria
- malaria control
- malaria vector
- Mathematics & science
- membrane
- method development
- method validation
- Model
- mosquito
- mosquito control
- mosquito fitness
- mosquito-borne disease
- Mosquitoes
- n/a
- natural compounds
- non-insecticidal
- out-crossing
- ovary development
- pathogen transmission
- PBO ITN
- physical barrier
- phytochemical
- pirimiphos-methyl
- prallethrin
- product evaluation
- Protection
- pyrethroid
- pyrethroid resistance
- pyrethroids
- pyriproxyfen (PPF)
- quality control (QC)
- rabbit
- Reference, information & interdisciplinary subjects
- Research & information: general
- resistance monitoring
- RNAi
- Saccharomyces cerevisiae
- side-effects
- spatial treatment
- strain authentication
- strain characterisation
- synergist ITN
- textile
- thiacloprid
- Vector control
- WHO tube
- WHO tunnel test
- Yeast
- α-cypermethrin
- β-cyfluthrin
- λ-cyhalothrin
Links
DOI: 10.3390/books978-3-0365-6593-4Editions