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Article . 2013
License: CC BY
Data sources: ZENODO
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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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GCE Special: Development of an RNAi based microalgal larvicide to control mosquitoes

Authors: Kumar, Anil; Wang, Songjie; Ou, Ruguang; Samrakandi, Mustapha; et al.;

GCE Special: Development of an RNAi based microalgal larvicide to control mosquitoes

Abstract

Mosquitoes transmit many life threatening parasitic and viral diseases including filariasis (Culex, Mansonia and Anopheles spp.), yellow fever (Aedes aegypti), dengue fever (Ae. aegypti) and malaria (Anopheles spp.), with malaria being the most important mosquito-borne disease. An estimated 216 million reported malaria cases resulted in 655,000 deaths worldwide in 2010 alone. Various strategies have been tried to control mosquito populations in the last 100 years, including the use of chemical pesticides and biological control agents (entomophagous bacteria, fungi, viruses, parasites and predators). In addition to affecting human health and harmful effects on the environment, the indiscriminate use of chemical pesticides has led to development of pesticide resistance reducing the effectiveness of this control strategy. Hence, new strategies to control insect disease-vector populations more effectively are under evaluation. To be effective, these strategies must be, 1) insect vector or pathogen specific, 2) robust or catalytic in mode of action, 3) stable over long periods of time, 4) simple and efficient to deliver and man-age 5) have low cost, and 6) self-sustainable with little or no impact on non-target organisms.

Related Organizations
Keywords

larvicide, RNAi, malaria, mosquito, microalgal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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