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Skip to Search Results- 2Evenden, Maya L.
- 2Rosychuk, Rhonda J.
- 2Torabi, Mahmoud
- 1Aukema, Brian H.
- 1Batallas, Ronald
- 1Bentz, Barbara J.
- 7Graduate and Postdoctoral Studies (GPS), Faculty of
- 7Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 3The NSERC TRIA Network (TRIA-Net)
- 3The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
- 2Biological Sciences, Department of
- 2Biological Sciences, Department of/Journal Articles (Biological Sciences)
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Opportunities and challenges for the pursuit of sustainability under globalization: A study from Costa Rica
DownloadFall 2009
Globalization and human-domination of the globe have increased the complexity, scope and pace of human-environment interactions in ways that have fundamentally reconfigured the opportunities and challenges for sustainability. As a result, what society needs from science has shifted. Society and...
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2015
Raffa, Kenneth F., Aukema, Brian H., Bentz, Barbara J., Carroll, Allan L., Hicke, Jeffrey A., Kolb, Thomas E.
Bark beetles cause widespread tree mortal- ity, so understanding how climate change will infl uence the distribution and magni- tude of outbreaks by this group of herbi- vores is important. We fi rst develop a framework of outbreak dynamics that emphasizes transitions from states domi- nated by...
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2010
Rosychuk, Rhonda J., Torabi, Mahmoud
This paper studies generalized linear mixed models (GLMMs) for the analysis of geographic and temporal variability of disease rates. This class of models adopts spatially correlated random effects and random temporal components. Spatio-temporal models that use conditional autoregressive smoothing...
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Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends
Download2011
Torabi, Mahmoud, Rosychuk, Rhonda J.
To analyze childhood cancer diagnoses in the province of Alberta, Canada during 1983-2004, we construct a generalized linear mixed model for the analysis of geographic and temporal variability of cancer rates. In this model, spatially correlated random e®ects and temporal components are adopted....
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Fall 2011
Timely, accurate predictions of potential influenza epidemics are essential for healthcare providers and policy makers as the epidemics can result in heavy demands for health services. Current statistical modeling of surveillance data has limited prediction abilities and often fails to respond...