Programme

Day 1

10^th November 2014

Hours	Title	Lecturer
9:00 – 09:30	Welcome notes: Presentation of course, teachers, participants, and course topics	IZSve
9:30 – 11:00	GIS applications at OIE/international level Presentation: WAHIS WAHID	Simona Forcella
10:00 – 11:00	How GIS is used in veterinary medicine Presentation: Essential use Emerging use Examples of successful GIS applications in veterinary medicine	Nicola Ferrè
11:00 – 11:30	Coffee Break
11:30 – 13:00	GIS Management Presentation: Overview of the GIS implementation process GIS planning principles GIS requirement analyses GIS design Building the GIS Operating the GIS	Nicola Ferrè
13:00 – 14:30	Lunch
14:00 – 17:30	Practical exercise: mini project Presentation: Class discussion on three personal dataset Group organisation Project and objective assignment	GIS Unit staff
17:30 – 18:00	Hard talk: GIS office, structure and organisation	Nicola Ferrè

Day 2

11^th November 2014

Hours	Title	Lecturer
9:00 – 11:00	GIS data models Presentation: Spatial data collection. The OIE perspective How best to geo-reference farms? –Conceptual Farm model indirect methods geocoding design a GPS survey Geo database organisation – data mart approach Metadata principle and organisation OGC standards	Simona Forcella Nicola Ferrè
11:00 – 11:30	Coffee Break
11:30 – 13:00	Making pretty maps Presentation: Introducing Cartography Elements of semiotic – Bertin rules Map Elements Using styles – Introduction to SLD concepts Simulation exercise: exercises will be done using QGIS and SLD editor.	Nicola Ferrè GIS Unit staff
13:00 – 14:30	Lunch + mini project networking
14:00 – 15:30	Data collection - GPS survey Presentation: GPS fundamentals Design and develop a GPS survey exercise Simulation exercise: collecting, processing, and integrating GPS data into GIS	Nicola Ferrè
15:30 – 17:30	Practical exercise: mini project Presentation: Abstract – development Abstracts - presentation and discussions	GIS Unit staff
17:30 – 18:00	Hard talk: GPS – uses and misuses	Nicola Ferrè

Day 3

12^th November 2014

Hours	Title	Lecturer
9:00 – 9:30	Spatial epidemiology – Introduction What Spatial Epidemiology is, how and why it was developed	Tim Carpenter
9:30 – 11:00	Spatial epidemiological data Presentation: Use of georeferenced data for epidemiological studies Use of different type of data (points vs aggregated data) Brief overview on using remote sensed data in epidemiology Simulation exercise: Adding spatial information to epidemiological data Manage spatial data for epidemiological analyses Visualise spatial data of epidemiological interest	Paolo Mulatti
11:00 – 11:30	Coffee Break
11:30 – 13:00	Spatial autocorrelation Presentation: Definition of spatial and autocorrelation Description of methods to investigate spatial autocorrelation (including global and local measures) Simulation exercise: some of the methods discussed will be applied to the practice and students will have the opportunity to keep on exploring the dataset used so far	Tim Carpenter Paolo Mulatti
13:00 – 14:30	Lunch
14:30 – 18:00	Practical exercise: mini project Mini project - development	GIS Unit staff

Day 4

13^th November 2014

Hours	Title	Lecturer
9:00 – 11:00	Purely spatial disease clustering Presentation: Definition of clustering (global, local and focused) Description of some methods to be used to investigate pure spatial clustering (including K(d) function and purely spatial scan statistics) Simulation exercise: Different datasets will be explored using different methods for disease clustering detection, both global and local. Exercises will be done using SatScan and simple R scripts (exploiting some of the most commonly used library)	Tim Carpenter Paolo Mulatti
11:00 – 11:30	Coffee Break
11:30 – 13:00	Adding further complexity – Space-time disease clustering Presentation: Importance of considering temporally explicit information Description of some methods to investigate space-time clustering ( including space-time K(d) function and space-time Scan Statistics) Simulation exercise: Similarly to the previous exercise, students will be asked to analyse a dataset using one or more of the described methods. Software used will include SatScan and R	Tim Carpenter Paolo Mulatti
13:00 – 14:30	Lunch + mini project networking
14:30 – 18:00	Practical exercise: mini project Mini project - development	GIS Unit staff
17:30 – 18:00	Hard talk: Why should we want to perform spatial analyses?	Paolo Mulatti

Day 5

14^th November 2014

Hours	Title	Lecturer
9:00 – 10:00	Course wrap-up and open questions	Nicola Ferrè Tim Carpenter Paolo Mulatti
10:00 – 12:30	Mini project presentations and discussion	Participants + Nicola Ferrè Tim Carpenter Paolo Mulatti
12:30 – 13:00	Closing remarks	Nicola Ferrè Tim Carpenter Paolo Mulatti
13:00 – 14:30	Lunch