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Open Access research that power business decision making...

Strathprints makes available scholarly Open Access research by the Department of Management Science. This includes research that seeks to develop theory, solution methods and algorithms for confronting solving optimisation and predictive analytics problems arising from real-world situations, such as those arising in manufacturing, logistics, health and energy.

Management Science also explores the application of management science within healthcare organisations, the deployment of data analytics in the creation of risk-based decision support systems, and supply chain risk management.

Explore research outputs by Management Science -- or 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 Sat Jul 31 11:18:27 2021 BST.