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Delayed action insecticides and their role in mosquito and malaria control

Overview of attention for article published in Journal of Mathematical Biology, December 2012
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Article details
Title
Delayed action insecticides and their role in mosquito and malaria control
Published in
Journal of Mathematical Biology, December 2012
DOI 10.1007/s00285-012-0638-2
Pubmed ID
Authors
Abstract

There is considerable interest in the management of insecticide resistance in mosquitoes. One possible approach to slowing down the evolution of resistance is to use late-life-acting (LLA) insecticides that selectively kill only the old mosquitoes that transmit malaria, thereby reducing selection pressure favoring resistance. In this paper we consider an age-structured compartmental model for malaria with two mosquito strains that differ in resistance to insecticide, using an SEI approach to model malaria in the mosquitoes and thereby incorporating the parasite developmental times for the two strains. The human population is modeled using an SEI approach. We consider both conventional insecticides that target all adult mosquitoes, and LLA insecticides that target only old mosquitoes. According to linearised theory the potency of the insecticide affects mainly the speed of evolution of resistance. Mutations that confer resistance can also affect other parameters such as mean adult life span and parasite developmental time. For both conventional and LLA insecticides the stability of the malaria-free equilibrium, with only the resistant mosquito strain present, depends mainly on these other parameters. This suggests that the main long term role of an insecticide could be to induce genetic changes that have a desirable effect on a vital parameter such as adult life span. However, when this equilibrium is unstable, numerical simulations suggest that a potent LLA insecticide can slow down the spread of malaria in humans but that the timing of its action is very important.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 6%
United States 1 3%
Pakistan 1 3%
Netherlands 1 3%
Unknown 27 84%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 3 9%
Student > Master 3 9%
Other 2 6%
Student > Doctoral Student 2 6%
Other 5 16%
Unknown 10 31%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Medicine and Dentistry 5 16%
Mathematics 3 9%
Immunology and Microbiology 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 13 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2012.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from Journal of Mathematical Biology
#539
of 655 outputs
Outputs of similar age
#248,528
of 280,458 outputs
Outputs of similar age from Journal of Mathematical Biology
#9
of 11 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,458 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.