Study level

PhD

Master of Philosophy

Honours

Faculty/Lead unit

Science and Engineering Faculty

School of Computer Science

Topic status

We're looking for students to study this topic.

Supervisors

Professor Raja Jurdak
Position
Professor of Distributed Systems & Chair in Applied Data Sciences
Division / Faculty
Science and Engineering Faculty

Overview

This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.

Research activities

Within this project, you'll:

  • collect and analyse different data sources on human movement, including,
    • airline travel statistics
    • geo-tagged social media
    • travel surveys
    • arrival cards
  • design models that describe and predict human movement
  • model diffusion processes on top of the mobility network.

Outcomes

The project has the following expected outcomes:

  • models of people movement at in-country and inter-country levels
  • diffusion models and algorithms for relevant diseases
  • research outputs (publications) on the development models and algorithms.

Skills and experience

To participate in this research, we expect you to have skills and/or experience with:

  • data analysis
  • Python

While not mandatory, we'd also prefer if you had skills and/or experience with:

  • mobility modelling
  • network science.

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.