Module manager: Michelle Morris
Email: m.morris@leeds.ac.uk
Taught: Semester 1 Apr to 30 June View Timetable
Year running 2022/23
Identical to student's parent taught postgraduate programme or PhD. YCHI5045M (Statistics for Health Sciences) or equivalent level of basic statistics knowledge.
| NONE |
| YCHI5055M | Health Data Analytics and Visualisation |
| NONE |
None
This module is not approved as an Elective
Presenting aspects of health care or health outcomes across space is of increasing importance. This module is aimed at individuals working with health data to introduce them to the analysis of spatial units and give them the skills necessary to use Geographic Information Systems (GIS) for understanding and presenting key information. The course will build on the Health Data Analytics module to develop a critical understanding and knowledge of the relevant application of GIS methods using both open source and licensed software.
The purpose of the module is to provide students with a solid grounding in:
- The fundamentals of the analysis of spatial units and their relevance to health
- The application of relevant GIS methods to better understand and visualise their health related data.
By the end of the module students will be able to:
1. Understand data governance issues around the use spatial data in health, including issues related to identification of home address from global positioning systems or unit postcodes (lecture & tutorials)
2. Critically apply appropriate spatial scales and methods to health data (lectures, tutorials & practical sessions)
3. Appropriately apply spatial methods alongside statistical methods (lecture, tutorials & practical sessions)
4. Understand the context of spatial data in healthcare and be able to critically evaluate and synthesise results appropriate to the research question (lectures, seminars & practical sessions)
5. Communicate appropriately and creatively results from spatial analysis (seminars and practical sessions)
6. Understand and perform spatial analysis using QGIS (practical sessions)
7. Understand and perform spatial analysis using R (practical sessions)
This module will prepare you in the application of GIS and R in healthcare settings.
- Data governance specific to spatial data
- Spatial units and their interplay with healthcare
- Spatial data sources and types of data available
- Spatial data cleaning and matching methods
- Spatial analysis versus spatial statistics
- GIS methods in QGIS (licenced software) and R (Open source software)
- Application of GIS models to study disease in populations
- Application of GIS models to study provision of healthcare
- GIS data visualisation and communication
- Novel applications of GIS methods including at local and international scale
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Class tests, exams and assessment | 3 | 1 | 3 |
| Group learning | 1 | 8 | 8 |
| Lecture | 7 | 1 | 7 |
| Practical | 4 | 4 | 16 |
| Seminar | 3 | 1 | 3 |
| Tutorial | 3 | 1 | 3 |
| Private study hours | 110 | ||
| Total Contact hours | 40 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Module pre-reading and directed exercises (12 hours)
- Background reading
- Spatial unit exercise
During contact week (12 hours)
- Directed reading and exercises, including a critical evaluation of GIS visualisations
- Formative quizzes to consolidate learning
After contact week (86 hours)
- Formative assessment
- Summative assignment
Group feedback on directed exercises during the contact week (written)
Seminar discussions and short exercises (group feedback, verbal)
A formative peer and tutor assessed group presentation of a spatial data analysis on the final day of the contact week, with immediate feedback (individual feedback, verbal)
A formative assignment to be completed following the contact week, with individual written feedback before summative coursework due
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Report | Project report on the analysis and visualisation of a given dataset | 100 |
| Oral Presentation | Formative group presentation | 0 |
| In-course MCQ | Formative quizzes during the contact week with immediate feedback | 0 |
| Critique | Formative appraisal of published study using GIS methods | 0 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 20/03/2023
Errors, omissions, failed links etc should be notified to the Catalogue Team