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International Health
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2015
License: CC BY
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International Health
Article . 2015 . Peer-reviewed
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Adult vector control, mosquito ecology and malaria transmission

Authors: Brady, O. J.; Godfray, H. C. J.; Tatem, A. J.; Gething, P. W.; Cohen, J. M.; McKenzie, F. E.; Alex Perkins, T.; +6 Authors

Adult vector control, mosquito ecology and malaria transmission

Abstract

Standard advice regarding vector control is to prefer interventions that reduce the lifespan of adult mosquitoes. The basis for this advice is a decades-old sensitivity analysis of 'vectorial capacity', a concept relevant for most malaria transmission models and based solely on adult mosquito population dynamics. Recent advances in micro-simulation models offer an opportunity to expand the theory of vectorial capacity to include both adult and juvenile mosquito stages in the model.In this study we revisit arguments about transmission and its sensitivity to mosquito bionomic parameters using an elasticity analysis of developed formulations of vectorial capacity.We show that reducing adult survival has effects on both adult and juvenile population size, which are significant for transmission and not accounted for in traditional formulations of vectorial capacity. The elasticity of these effects is dependent on various mosquito population parameters, which we explore. Overall, control is most sensitive to methods that affect adult mosquito mortality rates, followed by blood feeding frequency, human blood feeding habit, and lastly, to adult mosquito population density.These results emphasise more strongly than ever the sensitivity of transmission to adult mosquito mortality, but also suggest the high potential of combinations of interventions including larval source management. This must be done with caution, however, as policy requires a more careful consideration of costs, operational difficulties and policy goals in relation to baseline transmission.

Countries
United Kingdom, United States, United Kingdom
Keywords

Adult, 570, Biomedical and clinical sciences, Mosquito Control, Vectorial capacity., Plasmodium falciparum, Population Dynamics, 310, Medical and Health Sciences, Models, Biological, Malaria control policy, Rare Diseases, Models, 616, Anopheles, Animals, Humans, Population Density, Life Cycle Stages, Biomedical and Clinical Sciences, Ecology, Prevention, Health Policy, Health sciences, Original Articles, Biological, Vectorial capacity, Larval control, Insect Vectors, Malaria, Vector-Borne Diseases, Infectious Diseases, Good Health and Well Being, Culicidae, Medical Microbiology, Larva, Micro-simulation models, Infection, Plasmodium vivax

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    citations
    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).
    37
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
37
Top 10%
Top 10%
Top 10%
Green
hybrid