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- 3Corridors
- 3Geographic epidemiology
- 2Conditional autoregressive
- 1Animal movement
- 1Bayesian statistic
- 3Rosychuk, Rhonda J.
- 3Torabi, Mahmoud
- 1Beyer, H. L.
- 1Gillies, C. S.
- 1Hannon, S. J.
- 1Nelson, Connor J.
- 2Biological Sciences, Department of
- 2Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 2Graduate and Postdoctoral Studies (GPS), Faculty of
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An examination of five spatial disease clustering methodologies for the identification of childhood cancer clusters in Alberta, Canada
Download2011
Rosychuk, Rhonda J., Torabi, Mahmoud
Cluster detection is an important part of spatial epidemiology because it may help suggest potential factors associated with disease and thus, guide further investigation of the nature of diseases. Many different methods have been proposed to test for disease clusters. In this paper, we study...
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2002
Schmiegelow, F. K. A., Hannon, S. J.
Abstract. Building or maintaining corridors in fragmented landscapes may be an important method to conserve gap-sensitive species that avoid crossing gaps in forest cover. We tested the effectiveness of corridors by examining the changes in abundance of boreal birds pre- and post-logging in...
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Effects of linear anthropogenic corridors on insect pollinator movement and diversity, and understory shrub fruit production in the boreal forest of northeastern Alberta
DownloadSpring 2021
Fragmentation of habitats is a primary concern in the conservation of global biodiversity. Anthropogenic linear disturbances, such as roads, trails, and power lines, are a major source of habitat fragmentation worldwide. In Alberta’s boreal forest, a common, pervasive type of disturbance is...
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2011
St. Clair, C. C., Beyer, H. L., Gillies, C. S.
The persistence of forest-dependent species in fragmented landscapes is fundamentally linked to the movement of individuals among subpopulations. The paths taken by dispersing individuals can be considered a series of steps built from individual route choices. Despite the importance of these...
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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...