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Modeling and analyzing the transmission dynamics of visceral leishmaniasis

Overview of attention for article published in Mathematical Biosciences and Engineering, May 2017
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Article details
Title
Modeling and analyzing the transmission dynamics of visceral leishmaniasis
Published in
Mathematical Biosciences and Engineering, May 2017
DOI 10.3934/mbe.2017082
Pubmed ID
Authors
Abstract

In this paper, we develop a mathematical model to study the transmission dynamics of visceral leishmaniasis. Three populations: dogs, sandflies and humans, are considered in the model. Based on recent studies, we include vertical transmission of dogs in the spread of the disease. We also investigate the impact of asymptomatic humans and dogs as secondary reservoirs of the parasites. The basic reproduction number and sensitivity analysis show that the control of dog-sandfly transmission is more important for the elimination of the disease. Vaccination of susceptible dogs, treatment of infective dogs, as well as control of vertical transmission in dogs are effective prevention and control measures for visceral leishmaniasis.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 59 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 59 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 5 8%
Researcher 4 7%
Student > Postgraduate 4 7%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 28 47%
Readers by discipline
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 10%
Agricultural and Biological Sciences 5 8%
Biochemistry, Genetics and Molecular Biology 4 7%
Medicine and Dentistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 8 14%
Unknown 30 51%
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 31 July 2018.
All research outputs
#22,698,204
of 27,788,362 outputs
Outputs from Mathematical Biosciences and Engineering
#439
of 742 outputs
Outputs of similar age
#257,100
of 331,116 outputs
Outputs of similar age from Mathematical Biosciences and Engineering
#6
of 21 outputs
Altmetric has tracked 27,788,362 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 742 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 27th percentile – i.e., 27% 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 331,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.