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Infectious Diseases Modelling (POPH90271)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
Availability | Semester 2 - Dual-Delivery |
---|---|
Fees | Look up fees |
Faced with the rising cost of vaccines and increasing drug resistance, public health decision makers increasingly rely on epidemiological models of infectious disease transmission to predict the impact, and define optimal implementation of, intervention strategies. Such considerations are particularly critical in resource-constrained settings.
This subject introduces students to the concepts of infectious diseases modelling required to interpret modelling papers relevant to the public health context. By considering real world examples of the use of models to support practice, they will learn to distinguish between different types of modelling frameworks, and understand their relevance to alternative questions and settings. Building on their strengths in infectious diseases epidemiology, students will develop confidence in assessing whether model frameworks incorporate all relevant knowledge and are ‘fit for purpose’ to support decision making.
Intended learning outcomes
On completion of this subject, students will be able to:
- Describe the basic concepts underlying the susceptible-infectious-recovered modelling paradigm;
- Identify data sources of relevance to inform model structure and parameters;
- Differentiate between alternative modelling frameworks and approaches, and identify which are most relevant to specific infectious disease policy questions;
- Understand the concepts of uncertainty and sensitivity in model outputs;
- Provide summary reports of modelling papers for a non-expert audience, such as public health policy makers or the public;
- Critically appraise modelling outputs, and their relevance to public health decision making for infectious disease control and surveillance.
Generic skills
After completing this subject, students will develop skills in:
- Finding, evaluating and using diverse sources of evidence;
- Critical thinking and analysis;
- Problem-solving;
- Written and verbal communication;
- Decision making.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90014 | Epidemiology 1 | Semester 1 (Online) |
12.5 |
and ONE of the following:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90112 | Infectious Disease Epidemiology | April (Dual-Delivery - Parkville) |
12.5 |
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST90100 | Probability & Inference in Biostatistics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
On-Line Short Answer Test
| Week 4 | 20% |
Written Report
| Week 9 | 60% |
On line Group work oral presentation (approximately 6-8 students per group) due at the end week 12
| Week 12 | 20% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Principal coordinator Trish Campbell Mode of delivery Dual-Delivery (Parkville) Contact hours 24 Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
Vynnycky E, White RG. An introduction to Infectious Disease Modelling. Oxford University Press 2010, Great Britain.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Biostatistics Course Master of Science (Epidemiology) Course Master of Public Health Informal specialisation Epidemiology and Biostatistics - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024