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.

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Number of items: 3.

2019

Napier, Gary and Lee, Duncan and Robertson, Chris and Lawson, Andrew (2019) A Bayesian space-time model for clustering areal units based on their disease trends. Biostatistics, 20 (4). pp. 681-697. ISSN 1465-4644

2017

Lee, Duncan and Mukhopadhyay, Sabyasachi and Rushworth, Alastair and Sahu, Sujit K. (2017) A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health. Biostatistics, 18 (2). pp. 370-385. ISSN 1465-4644

2001

Young, D. and Ma, J. and Cherkerzian, S. and Froimowitz, M.P. and Ennulat, D.J. and Cohen, B.M. and Evans, M.L. and Lange, N. (2001) Automated identification of Fos expression. Biostatistics, 2 (3). pp. 351-364. ISSN 1465-4644

This list was generated on Thu Jul 16 18:53:01 2020 BST.