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Models of Disease Vector Control: When Can Aggressive Initial Intervention Lower Long-Term Cost?

Overview of attention for article published in Bulletin of Mathematical Biology, February 2018
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Title
Models of Disease Vector Control: When Can Aggressive Initial Intervention Lower Long-Term Cost?
Published in
Bulletin of Mathematical Biology, February 2018
DOI 10.1007/s11538-018-0401-y
Pubmed ID
Authors

Bismark Oduro, Mario J. Grijalva, Winfried Just

Abstract

Insecticide spraying of housing units is an important control measure for vector-borne infections such as Chagas disease. As vectors may invade both from other infested houses and sylvatic areas and as the effectiveness of insecticide wears off over time, the dynamics of (re)infestations can be approximated by [Formula: see text]-type models with a reservoir, where housing units are treated as hosts, and insecticide spraying corresponds to removal of hosts. Here, we investigate three ODE-based models of this type. We describe a dual-rate effect where an initially very high spraying rate can push the system into a region of the state space with low endemic levels of infestation that can be maintained in the long run at relatively moderate cost, while in the absence of an aggressive initial intervention the same average cost would only allow a much less significant reduction in long-term infestation levels. We determine some sufficient and some necessary conditions under which this effect occurs and show that it is robust in models that incorporate some heterogeneity in the relevant properties of housing units.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Master 4 15%
Student > Ph. D. Student 3 11%
Student > Doctoral Student 2 7%
Other 1 4%
Other 2 7%
Unknown 10 37%
Readers by discipline Count As %
Medicine and Dentistry 3 11%
Mathematics 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Social Sciences 2 7%
Veterinary Science and Veterinary Medicine 1 4%
Other 7 26%
Unknown 9 33%
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 28 April 2018.
All research outputs
#15,708,506
of 23,342,232 outputs
Outputs from Bulletin of Mathematical Biology
#732
of 1,113 outputs
Outputs of similar age
#270,053
of 439,077 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#23
of 30 outputs
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