Research Topics
| Niko YiannakouliasSummaryAffiliation: McMaster University Country: Canada Publications
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Detail Information
Publications
Using population attributable risk to understand geographic disease clustersN Yiannakoulias
School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario, Canada L8S4K1
Health Place 15:1142-8. 2009..These results illustrate the usefulness of attributable risk as a metric to help characterize and understand spatial clusters, which could be important for place-based public health interventions...
The effects of local and non-local traffic on child pedestrian safety: a spatial displacement of riskNikolaos Yiannakoulias
McMaster University, Hamilton, Ontario, Canada
Soc Sci Med 80:96-104. 2013..Our results suggest that more attention needs to be paid to account for the externalization of harm experienced by children, particularly in low-income downtown neighbourhoods...
Mapping commuter cycling risk in urban areasNikolaos Yiannakoulias
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada
Accid Anal Prev 45:164-72. 2012....
Understanding identifiability in secondary health dataNiko Yiannakoulias
Health Geomatics Lab, School of Geography and Earth Sciences, McMaster University, Hamilton, ON L8S 4K1
Can J Public Health 102:291-3. 2011..This commentary discusses the differences between identifiability and self-identification with the hope of contributing to a broader discussion establishing national guidelines for the use of secondary health data in research...
Spatial aberration vs. geographical substance: representing place in public health surveillanceNikolaos Yiannakoulias
School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario, Canada
Health Place 17:1242-8. 2011..Geographers can make important contributions to public health practice by contributing to more meaningful definitions of place in the design and operation of public health surveillance systems...
Child pedestrian injuries and urban changeNikolaos Yiannakoulias
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada
Inj Prev 17:9-14. 2011..This study looks at the effects of urban change on the risk of child pedestrian injury in Edmonton, Alberta, a city that has experienced large economic and population growth following the expansion of the oil and gas industry in Canada...
Locating irregularly shaped clusters of infection intensityNiko Yiannakoulias
School of Geography and Earth Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada
Geospat Health 4:191-200. 2010..Collectively, our results show that the "greedy growth scan" is a suitable method for exploratory geographical analysis of infection intensity data when irregular shapes are suspected, especially at micro-geographical scales...
Using administrative data to understand the geography of case ascertainmentN Yiannakoulias
School of Geography and Earth Sciences, McMaster University, Hamilton, ON
Chronic Dis Can 30:20-8. 2009..However, estimates of prevalence and incidence require careful consideration and validation against other data sources...
An integrated framework for the geographic surveillance of chronic diseaseNikolaos Yiannakoulias
School of Geography and Earth Sciences, 1280 Main Street West, McMaster University, Hamilton, Ontario L8S4K1, Canada
Int J Health Geogr 8:69. 2009....
Geographic hierarchies of diagnostic practice style in cerebrovascular diseaseNikolaos Yiannakoulias
McMaster University, School of Geography and Earth Sciences, 120 Main Street West, Hamilton, Ontario, Canada
Soc Sci Med 68:1985-92. 2009....
Differences between notifiable and administrative health information in the spatial-temporal surveillance of enteric infectionsN Yiannakoulias
School of Geography and Earth Sciences, General Science Building Room 204, McMaster University, 1280 Main Street West, Hamilton, ON, Canada L8S 4K1
Int J Med Inform 78:417-24. 2009..The purpose of this study is to compare the spatial and temporal information generated from two distinct health data sources available for the surveillance of intestinal infections associated with Escherichia coli O157:H7...
