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Ecology, evolution and control of chagas disease: a century of neglected modelling and a promising future.

Overview of attention for chapter in “Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part A”
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Article details
Chapter title
Ecology, evolution and control of chagas disease: a century of neglected modelling and a promising future.
Book title
Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part A
Published in
Advances in Parasitology, March 2015
DOI 10.1016/bs.apar.2014.12.004
Pubmed ID
Book ISBNs
978-0-12-803256-5
Authors

Pierre Nouvellet, Zulma M Cucunubá, Sébastien Gourbière, Zulma M. Cucunubá

Abstract

More than 100 years after its formal description, Chagas disease remains a major public health concern in Latin America with a yearly burden of 430,000 Disability-Adjusted Life Years (DALYs). The aetiological agent, a protozoan named Trypanosoma cruzi, is mainly transmitted to mammalian hosts by triatomine vectors. Multiple species of mammals and triatomines can harbour and transmit the parasite, and the feeding range of triatomine species typically includes many noncompetent hosts. Furthermore, the transmission of the pathogen can occur via several routes including the typical vector's faeces, but also oral, congenital and blood transfusion routes. These ecological and epidemiological complexities of the disease have hindered many control initiatives. In such a context, mathematical models provide invaluable tools to explore and understand the dynamics of T. cruzi transmission, and to design, optimize and monitor the efficacy of control interventions. We intend here to provide the first review of the mathematical models of Chagas disease, focussing on how they have contributed to our understanding of (1) the population dynamics and control of triatomine vectors, and (2) the epidemiology of T. cruzi infections. We also aim at suggesting promising lines of modelling that could further improve our understanding of the ecology, evolution, and control of the disease.

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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 147 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 %
Argentina 2 1%
Mexico 1 <1%
United Kingdom 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Unknown 141 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 25 17%
Student > Ph. D. Student 19 13%
Student > Bachelor 15 10%
Researcher 15 10%
Student > Doctoral Student 11 7%
Other 24 16%
Unknown 38 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 37 25%
Medicine and Dentistry 24 16%
Biochemistry, Genetics and Molecular Biology 8 5%
Computer Science 5 3%
Immunology and Microbiology 5 3%
Other 27 18%
Unknown 41 28%
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 07 June 2015.
All research outputs
#17,750,476
of 22,794,367 outputs
Outputs from Advances in Parasitology
#241
of 337 outputs
Outputs of similar age
#174,472
of 256,542 outputs
Outputs of similar age from Advances in Parasitology
#7
of 14 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 337 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 23rd percentile – i.e., 23% 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 256,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.