Complex network models of disease propagation : Modelling, predicting and assessing the transmission of SARS

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Overview

1 Scopus Citations

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Author(s)

M Small
CK Tse

Detail(s)

Original language	English
Pages (from-to)	43-44
Journal / Publication	Hong Kong Medical Journal
Volume	16
Issue number	5 SUPP4
Publication status	Published - Oct 2010
Externally published	Yes

Link(s)

	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-79952118236&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(9b024d25-7586-4395-a9f9-69bb89bd4946).html

Citation Format(s)

[ RIS ] [ BibTeX ]

Complex network models of disease propagation: Modelling, predicting and assessing the transmission of SARS. / Small, M; Tse, CK.
In: Hong Kong Medical Journal, Vol. 16, No. 5 SUPP4, 10.2010, p. 43-44.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Small, M & Tse, CK 2010, 'Complex network models of disease propagation: Modelling, predicting and assessing the transmission of SARS', Hong Kong Medical Journal, vol. 16, no. 5 SUPP4, pp. 43-44.

Small, M., & Tse, CK. (2010). Complex network models of disease propagation: Modelling, predicting and assessing the transmission of SARS. Hong Kong Medical Journal, 16(5 SUPP4), 43-44.

Small M, Tse CK. Complex network models of disease propagation: Modelling, predicting and assessing the transmission of SARS. Hong Kong Medical Journal. 2010 Oct;16(5 SUPP4):43-44.

Small, M ; Tse, CK. / Complex network models of disease propagation : Modelling, predicting and assessing the transmission of SARS. In: Hong Kong Medical Journal. 2010 ; Vol. 16, No. 5 SUPP4. pp. 43-44.