The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Biological Control of Mosquito Vectors: Past, Present, and Future
Open accessAbstract
Mosquitoes represent the major arthropod vectors of human disease worldwide transmitting malaria, lymphatic filariasis, and arboviruses such as dengue virus and Zika virus. Unfortunately, no treatment (in the form of vaccines or drugs) is available for most of these diseases and vector control is still the main form of prevention. The limitations of traditional insecticide-based strategies, particularly the development of insecticide resistance, have resulted in significant efforts to develop alternative eco-friendly methods. Biocontrol strategies aim to be sustainable and target a range of different mosquito species to reduce the current reliance on insecticide-based mosquito control. In this review, we outline non-insecticide based strategies that have been implemented or are currently being tested. We also highlight the use of mosquito behavioural knowledge that can be exploited for control strategies.
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Cites
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Self-citationThe discovery of artemisinin (qinghaosu) and gifts from Chinese medicine
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Cited by
Priorities for Broadening the Malaria Vector Control Tool Kit
Barreaux, P., Barreaux, A. M. G., Sternberg, E. D., Suh, E., Waite, J. L., Whitehead, S. A., & Thomas, M. B. (2017) · Trends in Parasitology · doi:10.1016/j.pt.2017.06.003 · Cited by 67
Metadata
- Authors
- Benelli, G., Jeffries, C., & Walker, T.
- Venue
- Insects
- Publisher
- MDPI AG
- Published
- 2016-10-03
- Volume
- 7
- Issue
- 4
- Pages
- 52
- ISSN
- 2075-4450 (ISSN-L)
- OpenAlex
- W2527916419
- Cited by
- 445
- References
- 128
- FWCI
- 27.51
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.