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Influence of human behavior on cholera dynamics

Overview of attention for article published in Mathematical Biosciences, June 2015
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Article details
Title
Influence of human behavior on cholera dynamics
Published in
Mathematical Biosciences, June 2015
DOI 10.1016/j.mbs.2015.06.009
Pubmed ID
Authors
Abstract

This paper is devoted to studying the impact of human behavior on cholera infection. We start with a cholera ordinary differential equation (ODE) model that incorporates human behavior via modeling disease prevalence dependent contact rates for direct and indirect transmissions and infectious host shedding. Local and global dynamics of the model are analyzed with respect to the basic reproduction number. We then extend the ODE model to a reaction-convection-diffusion partial differential equation (PDE) model that accounts for the movement of both human hosts and bacteria. Particularly, we investigate the cholera spreading speed by analyzing the traveling wave solutions of the PDE model, and disease threshold dynamics by numerically evaluating the basic reproduction number of the PDE model. Our results show that human behavior can reduce (a) the endemic and epidemic levels, (b) cholera spreading speeds and (c) the risk of infection (characterized by the basic reproduction number).

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 66 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 States 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 10 15%
Student > Master 8 12%
Student > Ph. D. Student 6 9%
Other 4 6%
Professor > Associate Professor 4 6%
Other 15 23%
Unknown 19 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 7 11%
Mathematics 6 9%
Agricultural and Biological Sciences 6 9%
Nursing and Health Professions 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 14 21%
Unknown 24 36%
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 03 July 2015.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Mathematical Biosciences
#503
of 886 outputs
Outputs of similar age
#165,664
of 278,356 outputs
Outputs of similar age from Mathematical Biosciences
#1
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 886 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 278,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them