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Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control

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Attention for Chapter 15: Mathematical Models for the Epidemiology and Evolution of Mycobacterium tuberculosis
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Chapter title
Mathematical Models for the Epidemiology and Evolution of Mycobacterium tuberculosis
Chapter number 15
Book title
Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-64371-7_15
Pubmed ID
Book ISBNs
978-3-31-964369-4, 978-3-31-964371-7
Authors

Jūlija Pečerska, James Wood, Mark M. Tanaka, Tanja Stadler, Pečerska, Jūlija, Wood, James, Tanaka, Mark M., Stadler, Tanja

Abstract

This chapter reviews the use of mathematical and computational models to facilitate understanding of the epidemiology and evolution of Mycobacterium tuberculosis. First, we introduce general epidemiological models, and describe their use with respect to epidemiological dynamics of a single strain and of multiple strains of M. tuberculosis. In particular, we discuss multi-strain models that include drug sensitivity and drug resistance. Second, we describe models for the evolution of M. tuberculosis within and between hosts, and how the resulting diversity of strains can be assessed by considering the evolutionary relationships among different strains. Third, we discuss developments in integrating evolutionary and epidemiological models to analyse M. tuberculosis genetic sequencing data. We conclude the chapter with a discussion of the practical implications of modelling - particularly modelling strain diversity - for controlling the spread of tuberculosis, and future directions for research in this area.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Ph. D. Student 5 14%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 3 8%
Other 5 14%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Agricultural and Biological Sciences 5 14%
Immunology and Microbiology 3 8%
Computer Science 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 6 16%
Unknown 14 38%
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 30 March 2018.
All research outputs
#20,451,991
of 23,007,887 outputs
Outputs from Advances in experimental medicine and biology
#3,987
of 4,961 outputs
Outputs of similar age
#356,196
of 421,256 outputs
Outputs of similar age from Advances in experimental medicine and biology
#414
of 490 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 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 1st percentile – i.e., 1% 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 421,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.