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(Int J Health Geogr[TA])
710 results
  • smokeSALUD: exploring the effect of demographic change on the smoking prevalence at municipality level in Austria. [Journal Article]
  • IJInt J Health Geogr 2016 Oct 07; 15(1):36
  • Tomintz M, Kosar B, Clarke G
  • CONCLUSIONS: This case study shows the application of smokeSALUD to model the spatial-temporal changes in the smoking population in Austria between 2001 and 2011. This is important as no data on smoking exists at this geographical scale (municipality). However, spatial microsimulation models are useful tools to estimate small area health data and to overcome these problems. The simulations and analysis should support health decision makers to identify hot spots of smokers and this should help to show where to spend health resources best in order to reduce health inequalities.
  • Geographic dimensions of a health network dedicated to occupational and work related diseases. [Journal Article]
  • IJInt J Health Geogr 2016 Sep 27; 15(1):34
  • Delaunay M, Godard V, … Bonneterre V
  • CONCLUSIONS: The geographic approach to this network, enhanced by the possibilities provided by the GIS tool, allow a better understanding of the coverage of this network at a national level, as well as the visualization of capture rates for all OD clinics. Highlighting geographic and thematic shading zones bring new perspectives to the analysis of occupational health data, and should improve occupational health vigilance and surveillance.
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