2004
DOI: 10.1016/j.mcm.2005.01.007
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A discrete epidemic model for SARS transmission and control in China

Abstract: Severe acute respiratory syndrome (SARS) is a rapidly spreading infectious disease which was transmitted in late 2002 and early 2003 to more than 28 countries through the medium of international travel. The evolution and spread of SARS has resulted in an international effort coordinated by the World Health Organization (WHO).We have formulated a discrete mathematical model to investigate the transmission of SARS and determined the basic reproductive number for this model to use as a threshold to determine the … Show more

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Cited by 119 publications
(79 citation statements)
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“…It is worth noticing that discrete epidemic models have also been paid much attention by many researchers (see [24][25][26] and references therein). On one hand, discrete epidemic models have advantages in describing an infectious disease in comparison with continuous models since epidemic data are often collected at discrete times (such as daily, monthly, yearly, etc.).…”
Section: G(i) Imentioning
confidence: 99%
“…It is worth noticing that discrete epidemic models have also been paid much attention by many researchers (see [24][25][26] and references therein). On one hand, discrete epidemic models have advantages in describing an infectious disease in comparison with continuous models since epidemic data are often collected at discrete times (such as daily, monthly, yearly, etc.).…”
Section: G(i) Imentioning
confidence: 99%
“…Various mathematical models have been proposed in the literature of population dynamics, ecology and epidemiology. Many authors have studied the epidemic models, which displays the dynamical behavior of the transmission of infectious diseases (see also [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…For example, Zhou et al . proposed a discrete mathematical model to investigate the transmission of severe acute respiratory syndrome, and their simulation results match the statistical data well.…”
Section: Introductionmentioning
confidence: 89%