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Being more open: International Open Access Week at Strathprints (19-25 Oct 2020)...

Strathprints makes available scholarly Open Access content by researchers from the University of Strathclyde, spanning numerous disciplines across science, engineering, business, social sciences and humanties. 19-25 October 2020 is International Open Access Week, an annual global event to promote the need for, and benefits of, greater Open Access in scholarship. This not only encompasses greater openness of research publications like journal articles and conference papers, but also important outputs of the research process, such as data (e.g. Open Data).

At Strathclyde we are committed to progressing towards full Open Access by 2025. That is why close to 90% of all research is now made available Open Access, principally through Strathprints. Explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2017 | 2016 | 2015
Number of items: 8.

2019

Liang, Yanfeng and Greenhalgh, David (2019) Estimation of the expected number of cases of microcephaly in Brazil as a result of Zika. Mathematical Biosciences and Engineering, 16 (6). 8217–8242. ISSN 1547-1063

Liang, Y. and Ahmad Mohiddin, M. N. and Bahauddin, R. and Hidayatul, F. O. and Nazni, W. A. and Lee, H. L. and Greenhalgh, D. (2019) Modelling the effect of a novel autodissemination trap on the spread of dengue in Shah Alam and Malaysia. Computational and Mathematical Methods in Medicine, 2019. 1923479. ISSN 1748-6718

2018

Greenhalgh, David and Liang, Yanfeng and Nazni, Wasi Ahmad and Teoh, Guat-ney and Lee, Han Lim and Massad, Eduardo (2018) Modelling the effect of a novel auto-dissemination trap on the spread of dengue in high-rise condominia, Malaysia. Journal of Biological Systems, 26 (4). pp. 553-578. ISSN 0218-3390

2017

Liang, Yanfeng and Greenhalgh, David; (2017) Mathematical modelling the spread of Zika and Microcephaly in Brazil. In: Proceedings of the 17th International Conference on Computational and Mathematical Methods in Science and Engineering. CMMSE, [S.I.], pp. 1264-1268. ISBN 978-84-617-8694-7

2016

Greenhalgh, D. and Liang, Y. and Mao, X. (2016) Modelling the effect of telegraph noise in the SIRS epidemic model using Markovian switching. Physica A: Statistical Mechanics and its Applications, 462. pp. 684-704. ISSN 0378-4371

Liang, Yanfeng and Greenhalgh, David and Mao, Xuerong (2016) A stochastic differential equation model for the spread of HIV amongst people who inject drugs. Computational and Mathematical Methods in Medicine, 2016. 6757928. ISSN 1748-6718

Greenhalgh, D. and Liang, Y. and Mao, X. (2016) SDE SIS epidemic model with demographic stochasticity and varying population size. Applied Mathematics and Computation, 276. pp. 218-238. ISSN 0096-3003

2015

Greenhalgh, David and Liang, Yanfeng and Mao, Xuerong (2015) Demographic stochasticity in the SDE SIS epidemic model. Discrete and Continuous Dynamical Systems - Series B, 20 (9). pp. 2859-2884. ISSN 1531-3492

This list was generated on Wed Oct 21 06:35:01 2020 BST.