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The University of Southampton
Courses

GEOG6094 GIS for Analysis of Health

Module Overview

This module is intended to introduce students who have already studied the principles of geographical information systems (GIS) to the concepts, methods and techniques involved in using GIS for the analysis of health. Academic study of the geography of health has traditionally been divided between two traditions - firstly concerned with the causes and spread of disease and secondly with the organisation and use of health care services. The methods and examples covered in this unit 'GIS for Analysis of Health' deal primarily with the first of these. The unit introduces the analysis of health, with a particular objective to show that many of the central concepts surrounding health and disease are in fact ambiguous and contested - they have different meanings to different groups of people and at different times. GIS can play an important role in many aspects of health analysis, but should not be applied without recognition of contextual factors such as the interests of different agencies and the value-laden nature of standard definitions. Using a generalised model for disease causation, the role of environmental, individual behavioural and predisposing factors on health effects are explored. Attention is given to international sources of data describing health events, and the role of GIS is introduced in four analytical areas: mapping of health data; analysis of spatial clustering in health events; analysis of the spread of diseases; and measuring and modelling exposure to risk factors. This course has been designed for blended learning delivery and comprises an extensive set of online learning objects, each of which has associated directed activities. Data files for GIS practicals are provided for students to download and work on locally.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Gain detailed knowledge of selected parts of the subject that allow you to study the current literature and engage in discussion with peers – in relation to the spatial distribution of health and disease
  • Manage: safe and effective project planning and execution; time management
  • Use appropriate principles, theories and methods to design and undertake primary research within the subject area
  • Gain knowledge of contemporary methods used to analyse remotely sensed imagery and other spatial data sets – in relation to the identification of spatial pattern in health data
  • Conduct spatial data analysis – including patterns in point and area-based health data manipulation (including IT skills):
  • Analyse and critically interpret primary and secondary data (especially spatial data); statistical methods
  • Critically analyse the literature relating to remote sensing and spatial analysis
  • Pursue knowledge in an in-depth, ordered and motivated way
  • Abstract and synthesise information from a range of different sources – in relation to sources of health, population and relevant environmental data
  • Communicate: oral and written presentation; scientific writing
  • Conduct information processing (including IT skills): literature searches

Syllabus

Topics are likely to include: - Introduction to GIS for analysis of health - Concepts in GIS and health analysis - Public health data systems - Geovisualisation of health data - Spatial cluster detection - GIS and infectious diseases - GIS and diseases of exposure

Learning and Teaching

Teaching and learning methods

Teaching and learning methods include a blend of online learning materials which students work through in their own time (under a suggested timetable), supporting tutorials, practical and clinic sessions, and independent study.

TypeHours
Independent Study125
Teaching25
Total study time150

Resources & Reading list

Online Materials. All online materials for this module are provided through Blackboard, including links to online reference sources. Students will use ArcGIS and standard office software. ArcGIS is available on-campus or available through iSolutions for installation on students’ own PCs. Selected, optional use will be made of other freely available software packages.

Assessment

Summative

MethodPercentage contribution
Coursework 50%
Coursework 50%

Referral

MethodPercentage contribution
Coursework assignment(s)  (1500 words) 100%

Repeat Information

Repeat type: Internal & External

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