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A Mathematical Model of Forager Loss in Honeybee Colonies Infested with Varroa destructor and the Acute Bee Paralysis Virus

Overview of attention for article published in Bulletin of Mathematical Biology, April 2017
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Article details
Title
A Mathematical Model of Forager Loss in Honeybee Colonies Infested with Varroa destructor and the Acute Bee Paralysis Virus
Published in
Bulletin of Mathematical Biology, April 2017
DOI 10.1007/s11538-017-0281-6
Pubmed ID
Authors
Abstract

We incorporate a mathematical model of Varroa destructor and the Acute Bee Paralysis Virus with an existing model for a honeybee colony, in which the bee population is divided into hive bees and forager bees based on tasks performed in the colony. The model is a system of five ordinary differential equations with dependent variables: uninfected hive bees, uninfected forager bees, infected hive bees, virus-free mites and virus-carrying mites. The interplay between forager loss and disease infestation is studied. We study the stability of the disease-free equilibrium of the bee-mite-virus model and observe that the disease cannot be fought off in the absence of varroacide treatment. However, the disease-free equilibrium can be stable if the treatment is strong enough and also if the virus-carrying mites become virus-free at a rate faster than the mite birth rate. The critical forager loss due to homing failure, above which the colony fails, is calculated using simulation experiments for disease-free, treated and untreated mite-infested, and treated virus-infested colonies. A virus-infested colony without varroacide treatment fails regardless of the forager mortality rate.

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The data shown below were compiled from readership statistics for 23 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 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 4 17%
Researcher 3 13%
Student > Bachelor 2 9%
Professor 2 9%
Student > Master 2 9%
Other 3 13%
Unknown 7 30%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 26%
Veterinary Science and Veterinary Medicine 2 9%
Mathematics 2 9%
Environmental Science 1 4%
Nursing and Health Professions 1 4%
Other 2 9%
Unknown 9 39%
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 13 April 2017.
All research outputs
#18,541,268
of 22,963,381 outputs
Outputs from Bulletin of Mathematical Biology
#889
of 1,102 outputs
Outputs of similar age
#235,921
of 310,113 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#23
of 30 outputs
Altmetric has tracked 22,963,381 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 1,102 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 310,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 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.