Estimates of tuberculosis progression rate of children in China

Hui Cao; Yicang Zhou; Fred Brauer

doi:10.1080/17513758.2012.677483

Estimates of tuberculosis progression rate of children in China

Hui Cao
, Yicang Zhou
, Fred Brauer

Mathematical Computational Modeling Sciences Center, Simon A. Levin (MCMSC)

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

In this paper, a discrete mathematical model is formulated to describe tuberculosis (TB) progression from latent infection to active disease. The data of national TB epidemiology surveys in China are taken to estimate the TB progression rate for children aged 0-14 years. The progression rate obtained in this paper gives a detailed and better estimate of TB progression rate among children.

Original language	English (US)
Pages (from-to)	663-673
Number of pages	11
Journal	Journal of biological dynamics
Volume	6
Issue number	2
DOIs	https://doi.org/10.1080/17513758.2012.677483
State	Published - Mar 2012

Keywords

children tuberculosis
discrete TB model
latent infection
progression rate

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Ecology

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10.1080/17513758.2012.677483

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abstract = "In this paper, a discrete mathematical model is formulated to describe tuberculosis (TB) progression from latent infection to active disease. The data of national TB epidemiology surveys in China are taken to estimate the TB progression rate for children aged 0-14 years. The progression rate obtained in this paper gives a detailed and better estimate of TB progression rate among children.",

keywords = "children tuberculosis, discrete TB model, latent infection, progression rate",

author = "Hui Cao and Yicang Zhou and Fred Brauer",

note = "Funding Information: The authors are grateful to Shanghai Zhang, the Centre for Communicable Diseases and Infection Control, Public Health Agency of Canada, for his helpful suggestions. This research was supported by National Natural Science Foundation of China (grant 10971163), and this work was carried out with the aid of a grant (Number 104519-010) from the International Development Research Center, Ottawa, Canada.",

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AU - Zhou, Yicang

AU - Brauer, Fred

N1 - Funding Information: The authors are grateful to Shanghai Zhang, the Centre for Communicable Diseases and Infection Control, Public Health Agency of Canada, for his helpful suggestions. This research was supported by National Natural Science Foundation of China (grant 10971163), and this work was carried out with the aid of a grant (Number 104519-010) from the International Development Research Center, Ottawa, Canada.

PY - 2012/3

Y1 - 2012/3

N2 - In this paper, a discrete mathematical model is formulated to describe tuberculosis (TB) progression from latent infection to active disease. The data of national TB epidemiology surveys in China are taken to estimate the TB progression rate for children aged 0-14 years. The progression rate obtained in this paper gives a detailed and better estimate of TB progression rate among children.

AB - In this paper, a discrete mathematical model is formulated to describe tuberculosis (TB) progression from latent infection to active disease. The data of national TB epidemiology surveys in China are taken to estimate the TB progression rate for children aged 0-14 years. The progression rate obtained in this paper gives a detailed and better estimate of TB progression rate among children.

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KW - discrete TB model

KW - latent infection

KW - progression rate

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Estimates of tuberculosis progression rate of children in China

Abstract

Keywords

ASJC Scopus subject areas

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