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A Mathematical Model of the Honeybee–Varroa destructor–Acute Bee Paralysis Virus System with Seasonal Effects

Overview of attention for article published in Bulletin of Mathematical Biology, September 2015
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Article details
Title
A Mathematical Model of the Honeybee–Varroa destructor–Acute Bee Paralysis Virus System with Seasonal Effects
Published in
Bulletin of Mathematical Biology, September 2015
DOI 10.1007/s11538-015-0093-5
Pubmed ID
Authors
Abstract

A mathematical model for the honeybee-varroa mite-ABPV system is proposed in terms of four differential equations for the: infected and uninfected bees in the colony, number of mites overall, and of mites carrying the virus. To account for seasonal variability, all parameters are time periodic. We obtain linearized stability conditions for the disease-free periodic solutions. Numerically, we illustrate that, for appropriate parameters, mites can establish themselves in colonies that are not treated with varroacides, leading to colonies with slightly reduced number of bees. If some of these mites carry the virus, however, the colony might fail suddenly after several years without a noticeable sign of stress leading up to the failure. The immediate cause of failure is that at the end of fall, colonies are not strong enough to survive the winter in viable numbers. We investigate the effect of the initial disease infestation on collapse time, and how varroacide treatment affects long-term behavior. We find that to control the virus epidemic, the mites as disease vector should be controlled.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 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 %
Unknown 36 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Researcher 4 11%
Professor > Associate Professor 4 11%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Other 7 19%
Unknown 11 31%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 9 25%
Mathematics 6 17%
Veterinary Science and Veterinary Medicine 2 6%
Environmental Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 6 17%
Unknown 11 31%
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 19 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from Bulletin of Mathematical Biology
#881
of 1,095 outputs
Outputs of similar age
#196,003
of 272,396 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#6
of 12 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 9th percentile – i.e., 9% 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 272,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.