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DescriptionJanuary 16th-20th, 2017Coordination: Cindy PadillaMapping is a useful and powerful tool to represent information which varies on a territory. It is particularly true in public health issues where health determinants are multiples and may be related to individual behavior and also to neighborhood factors which are not equally distributed in the space.Detecting clusters grouping small areas at greater health risk tends to be a appropriate method to orientate public health action. An explanatory spatial analysis can then be applied assessing the relationship between the cluster and the neighborhood characteristics in order to reveal risk factors of the health event.Course learning objectivesAfter completing this course, students will be able to:- Map geographic data- Create geographic datasets- Conduct basic spatial analyses- Apply GIS to several public health disciplinesModule StructureSession 1Day 1: Introduction to spatial analysis and working with geographic dataMonday January 18th, 10:00 – 12:00 am and 1.00 – 4.00 pmDay 2: Spatial analysis data maps and spatial tools – computer lab (ArcGIS)Tuesday January 19th, 9:00 -12:00 and 1:00 – 4:00 pmSession 2Day 3: Spatial statistics - computer lab (ArcGIS) and conferenceWednesday January 20th, 9:00 -12:00 and 1:00 – 4:00 pmDay 4: Detection of a cluster - computer lab (ArcGIS and Satscan)Thursday January 24th, 9:00 -12:00 and 1:00 – 4:00 pmSession 3Day 5: Critical lecture of spatial article and examFriday January 25th, 9:00 -12:00 and 1:00 – 4:00 pm