Stochastic modelling of Chlamydial infections

Callan, T Woodcock, S

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Publisher:: Australian Mathematical Society
Publication Type:: Journal Article
Citation:: Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2020, 61, pp. C89-C103
Issue Date:: 2020-07-06

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Field	Value	Language
dc.contributor.author	Callan, T
dc.contributor.author	Woodcock, S https://orcid.org/0000-0003-4903-3164
dc.date.accessioned	2020-07-06T09:59:13Z
dc.date.available	2021-02-06T18:07:54Z
dc.date.issued	2020-07-06
dc.identifier.citation	Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2020, 61, pp. C89-C103
dc.identifier.issn	1446-1811
dc.identifier.uri	http://hdl.handle.net/10453/141729
dc.language	en
dc.publisher	Australian Mathematical Society
dc.relation.ispartof	Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal
dc.relation.isbasedon	10.21914/anziamj.v61i0.15159
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	01 Mathematical Sciences, 09 Engineering
dc.subject.classification	General Mathematics
dc.subject.classification	Numerical & Computational Mathematics
dc.title	Stochastic modelling of Chlamydial infections
dc.type	Journal Article
utslib.citation.volume	61
utslib.for	01 Mathematical Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-07-06T09:59:09Z
pubs.volume	61

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