Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 3.

Article

Lugg, Sebastian T. and Tikka, Theofano and Agostini, Paula J. and Kerr, Amy and Adams, Kerry and Kalkat, Maninder S. and Steyn, Richard S. and Rajesh, Pala B. and Bishay, Ehab and Thickett, David R. and Naidu, Babu (2017) Smoking and timing of cessation on postoperative pulmonary complications after curative-intent lung cancer surgery. Journal of Cardiovascular Surgery, 12 (52). p. 8. ISSN 1749-8090

Tikka, Theofano and Webb, Joanne and Agostini, Paula and Kerr, Amy and Mannion, Glenn and Steyn, Richard S and Bishay, Ehab and Kalkat, Maninder S and Rajesh, Pala B and Naidu, Babu (2016) Pectus patient information website has improved access to care and patient reported outcomes. Journal of Cardiovascular Surgery, 11 (1). 69. ISSN 1749-8090

Black, R.A. and Watts, D.M. and Meagher, S. and Poepping, T.L. and Morgan, R.H. and Wardlaw, J. and Connell, M. and Sutcliffe, C.J. and Hoskins, P.R. (2006) Anatomical flow phantoms of the carotid bifurcation: potential application in training and assessment of endovascular device deployment. Journal of Cardiovascular Surgery, 47. pp. 43-44. ISSN 1749-8090

This list was generated on Wed Jul 8 20:05:47 2020 BST.