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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Jump to: 2014 | 2009 | 2008
Number of items: 3.

2014

Schang, Laura and Chiara, de Poli and Airoldi, Mara and Morton, Alec and Bohm, Natalie and Lakhanpaul, Monica and Schilder, Anne and Bevan, Gwyn (2014) Using an epidemiological model to investigate unwarranted variation : the case of ventilation tubes for otitis media with effusion in England. Journal of Health Services Research & Policy, 19 (4). pp. 236-244. ISSN 1355-8196

2009

Gidman, Wendy and Day, Jennie and Hassell, Karen and Payne, Katherine (2009) Delivering health care through community pharmacies : are working conditions deterring female pharmacists' participation? Journal of Health Services Research & Policy, 14 (3). pp. 141-149. ISSN 1355-8196

2008

Dieppe, Paul and Dixon, Diane and Horwood, Jeremy and Pollard, Beth and Johnston, Marie (2008) MOBILE and the provision of total joint replacement. Journal of Health Services Research & Policy, 13 (S3). pp. 47-56. ISSN 1355-8196

This list was generated on Sat Jul 11 00:43:35 2020 BST.