Postgraduate Course: GIS and Spatial Analytics for Health (PGGE11272)
|School||School of Geosciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||The course provides an introduction to the concepts, methods and practical skills of spatial analysis used for health research. These will be taught through lectures and practical work.
Geographical aspects of health and healthcare are an important part of public health research and practice. Recent years have seen rapid growth in applications of GIS and spatial analysis in health research. This 'spatial turn' is in line with increasing availability of spatial health related data and demands from public health authorities in health governance. Using GIS in health systems and policy is essential to discover the spatial pattern of disease, infer causes of disease, and inform policy and potential interventions.
This module aims to introduce theories, methods, and practical skills of GIS and spatial analysis in health and healthcare. It will focus on the application of GIS and spatial analysis techniques to quantitative epidemiological research questions and public health intelligence work. The provision of health care is highly complex and is aided by a better understanding of the role of environmental factors, individual and collective behavioural responses and predisposing conditions on health effects and outcomes as explored through geographical analysis of health and health behaviour.
The role of GIS and spatial analysis will be introduced in 5 analytical areas: the mapping of health data; analysis of spatial clustering in health events; measuring and modelling exposure to risk factors, evaluation of health inequalities, and spatial access to health care and social care. This course has been designed to mix lectures and practicals together providing hands-on opportunities for students to learn the methods and skills in analysis in addition to understanding of the key concepts of health analysis.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2020/21, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Two GIS research project reports (2000 words, 50% each)
Report 1 - due Thursday, week 6
Report 2 - due Thursday, week 11
||Students will be given feedback on a formative assessment and summative assessments within three weeks of submission
|No Exam Information
On completion of this course, the student will be able to:
- Understand the main theories and methods for disease mapping and health care analysis
- Understand the theories and methods for hotspots of disease clustering
- Understand the spatial data types, issues with spatial analysis and be familiar with a variety of methods of spatial inferential analysis in health research
- Be able to implement the methods using ArcGIS and special software packages
- Be able to undertake practical work, and write assignments to a professional standard
|Armstrong, M.P., Rushton, G. and Zimmerman, D.L., 1999. Geographically masking health data to preserve confidentiality. Statistics in medicine, 18(5), pp.497-525. |
Biggeri, A., Barbone, F., Lagazio, C., Bovenzi, M. and Stanta, G., 1996. Air pollution and lung cancer in Trieste, Italy: spatial analysis of risk as a function of distance from sources. Environmental health perspectives, 104(7), pp.750-754.
Bonita, R., Beaglehole, R., Kjellstrom, T. (2006) Basic epidemiology, 2nd Ed. World Health Organization (WHO), Geneva, Switzerland. Pp 219.
Cromley, E.K. & McLafferty, S.L. (2012) GIS and Public health. 2nd Edition. Guilford Press. New York. pp 503. ISBN 978-1-60918-750-7.
Elliott, P., Wakefield, J.C., Best, N.G. and Briggs, D.J. eds., 2000. Spatial epidemiology: methods and applications (Vol. 15). Oxford: Oxford University Press. Exeter, D., Boyle, P.J., Feng, Z., Flowerdew, R. and Scheirloh, N., 2005. The creation of'consistent areas through time'(CATTs) in Scotland, 1981-2001. Gatrell, A.C. and Löytönen, M., 1998. GIS and health research: an introduction. In GIS and Health (pp. 21-34). CRC Press.
Gatrell, A.C. and Elliott, S.J., 2014. Geographies of health: An introduction. John Wiley & Sons. Gatrell, A. and Senior, M., 1999. Health and health care applications. Geographical Information systems: Principles, techniques, applications and management. Haining, R.P. 2003. Spatial data analysis: theory and practice. Cambridge University Press. Jerrett, M., Burnett, R.T., Beckerman, B.S., Turner, M.C., Krewski, D., Thurston, G., Martin, R.V., van Donkelaar, A., Hughes, E., Shi, Y. and Gapstur, S.M., 2013. Spatial analysis of air pollution and mortality in California. American journal of respiratory and critical care medicine, 188(5), pp.593-599. Luo, W. and Qi, Y., 2009. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health & place, 15(4), pp.1100-1107. Norman, P., Rees, P. and Boyle, P., 2003. Achieving data compatibility over space and time: creating consistent geographical zones. International journal of population geography, 9(5), pp.365-386. Norman, P., Boyle, P., Exeter, D., Feng, Z. and Popham, F., 2011. Rising premature mortality in the UK¿s persistently deprived areas: Only a Scottish phenomenon?. Social science & medicine, 73(11), pp.1575-1584.
Pearce, J., Cherrie, M., Shortt, N., Deary, I. and Ward Thompson, C., 2018. Life course of place: A longitudinal study of mental health and place. Transactions of the Institute of British Geographers, 43(4), pp.555-572
Peiffer, D., Robinson, T.P., Stevenson, M., Stevens, K.B., Rogers, D.J. and Clements, A.C., 2008. Spatial analysis in epidemiology (Vol. 142, No. 10.1093). Oxford: Oxford University Press. Richardson, D.B., Volkow, N.D., Kwan, M.P., Kaplan, R.M., Goodchild, M.F. and Croyle, R.T., 2013. Spatial turn in health research. Science, 339(6126), pp.1390-1392. Ruiz, M.O., Tedesco, C., McTighe, T.J., Austin, C. and Kitron, U., 2004. Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002. International Journal of Health Geographics, 3(1), p.8.
Schuurman, N., Peters, P.A. and Oliver, L.N., 2009. Are obesity and physical activity clustered? A spatial analysis linked to residential density. Obesity, 17(12), pp.2202-2209. Shortt, N.K., Rind, E., Pearce, J., Mitchell, R. and Curtis, S., 2018. Alcohol risk environments, vulnerability, and social inequalities in alcohol consumption. Annals of the American Association of Geographers, 108(5), pp.1210-1227.
Wheeler, D.C., 2007. A comparison of spatial clustering and cluster detection techniques for childhood leukemia incidence in Ohio, 1996¿2003. International Journal of Health Geographics, 6(1), p.13
|Graduate Attributes and Skills
||This course will provide the students with a range of highly marketable skills and introduce them to methods sought after by employers. These analytical skills are highly valuable in the job market that are identified by our Industrial External Examiner, professional bodies and graduate feedback. The students also obtain skills in logical thinking, project work, organisation and report-writing.
|Keywords||GIS,spatial analysis,clustering,environmental factors,health inequalities
|Course organiser||Dr Zhiqiang Feng
Tel: (0131) 242 6374
|Course secretary||Ms Heather Penman
Tel: (0131 6)50