Tuesday 18 February, 2020
Simulation modelling provides valuable insights into the potential health gains that could be achieved by implementing specific interventions. In recent years there has been appreciable growth in the number of studies using simulation modelling methods to assess interventions in nutrition, physical activity, tobacco, cancer screening, and beyond.
If you are curious about different modelling approaches, trying to make sense of existing evidence, or interested in incorporating modelling into your own research, this interactive workshop is for you.
This one-day course will equip participants with an introductory understanding of how to simulate the health and cost impacts of preventive interventions. By the end of this course, participants will:
- be familiar with basic terminology and methodology related to simulating preventive interventions
- be able to critique evidence from simulation studies
- understand the process of modelling a public health intervention
- What is simulation modelling of preventive interventions?
- What data is used in simulation modelling?
- How to read and understand simulation modelling research
- How is your work relevant to simulation modelling?
Small group – teaching and discussion in a group of up to 30 people, with interactive activities.
This course is aimed at anyone who is interested in public health simulation modelling, preventive interventions, and cost-effectiveness assessments. This includes policy-makers and other staff from local and national government, media representatives, researchers, and students. This is an introductory workshop – no previous knowedge, skills, or experience required.
|An introduction to modelling approaches|
|1:30pm||Case study: practical session|
|3:30pm||Interpretation of modelling results|
|Quality control and reproducibility|
- Dr Anja Mizdrak, Research Fellow, University of Otago, Wellington
Dr Mizdrak is an expert in simulation modelling of preventive interventions with the University of Otago’s Burden of Disease Epidemiology, Equity & Cost-Effectiveness (BODE3) Programme and leads BODE3’s physical activity and transport sector modelling. Prior to joining BODE3, Dr Mizdrak worked at the University of Oxford (UK) where she contributed to the design of Preventable Risk Integrated ModEl (PRIME), a multi-risk factor model that has been used by research teams internationally.
- Dr Amanda Jones, Research Fellow, University of Otago, Wellington
Dr Jones specializes in the simulation modelling of dietary interventions and continues this work through her current position with the University of Otago’s Burden of Disease Epidemiology, Equity & Cost-Effectiveness (BODE3) Programme. Dr Jones also brings expertise is alcohol research. Dr Jones led the adaptation of the Australian Assessing Cost-Effectiveness (ACE) model to examine sugary drink consumption in the Canadian context.
$300 early bird, $400 after 19 December 2019.
A 50% discount is available to full-time students, those unwaged and University of Otago staff.