Queensland COVID-19 research
This page of Queensland’s research related to the COVID-19 pandemic is compiled from information provided by Queensland universities and research institutes.
While many of our researchers are working on potential vaccines, treatments and other medical interventions, other researchers are applying their expertise to other impacts of the pandemic upon our economy and other aspects of society. The data includes immediate research activity, recent relevant work, proposed research (subject to available funds) and other responses using the resources and expertise of our research organisations.
Listing 5 matching responses out of 121 total responses.
Professor Raja Jurdak, from QUT’s Centre for Data Science who specialises in tracking infectious disease outbreaks using dynamic network modelling and graphing based on people’s movement patterns says blanket COVID-19 lockdowns could become targeted to designated hotspots or neighbourhoods with the increased availability of personal location data. Professor Jurdak said as the pandemic continued to restrict people’s movements, data about transmission sources and location or transport route ‘hot spots’ were paramount to prevention methods. “We need to have a transparent conversation about what the public has to say about privacy and whether some individual freedoms can be relaxed at this critical point to secure public health benefits,” Professor Jurdak said. “If we had all that data where people are moving and who they are in contact with then we would be able to zoom in and control the spread of the disease much faster and that would then better inform the public and influence policy decisions. “The privacy considerations are equally important here, where individuals need to maintain control over what data they share. “There are technologies that can be used to balance this need and automate contract tracing while preserving citizen privacy, such as a proposal that would involve transferring only encrypted contact data to a central server.” Professor Jurdak, in collaboration with researchers from CSIRO, John Hopkins University and University of New South Wales has recently conducted a case study using smart card travel data in Sydney to identify highly influential travellers for spreading disease on a public transport system.
Social Media Analytics using machine learning algorithms to understand the mental health status as a result of COVID-19 lockdown July 2020
COVID-19 has caused significant disruptions to normal life resulting in deteriorated physical and mental health. Medical professionals are struggling to handle the levels of mental trauma. Using sophisticated AI algorithms, this USQ project attempts to classify the mental health state of a person from numerical and textual data and fMRI (functional Magnetic Resonance Image) images of the brain. Numerical and textual data is collected through a simple survey. The primary goal of this research is to develop a model that aids the medical practitioners to analyse heterogeneous data from a wider population through a single affordable test to classify a patient’s mental state including Obsessive Compulsive Disorder (OCD), anxiety, stress, depression, bipolar disorders and phobia pertaining to the context of COVID-19.
Centre for Health Research
University of Southern Queensland
- Contact details
Professor Raj Gururajan
+61 7 3470 4539
- Xiahui Tao (USQ)
- Xujuan Zhou (USQ)
- Rajendra Acharya (Singapore)
- Revathi Venkataraman (India)
- Dr. Soman Elangovan (Belmont Private Hospital - Brisbane)
COVID-19 a perfect storm for conspiracy theories August 2020
Researchers from QUT’s Digital Media Research Centre have taken a deep dive into their world to trace wild rumours on social media claiming the coronavirus was caused by 5G technology. They found what was once being preached to the already converted was quickly fanned further afield by social media and celebrities spreading the message.
Digital Media Research Centre
Queensland University of Technology
- Contact details
Professor Axel Bruns
Program Leader - Digital Publics
+61 7 3138 5548
Statistical modelling to support clinical decision making for critically ill COVID-19 patients. August 2020
One in three patients hospitalised with COVID-19 require critical care. Currently, critical care specialists are faced with complex decisions about which treatments work best for different patients, in particular the use of respiratory and life support. This Advance Queensland Industry Research Fellowship project led by Dr. Nicole White with QUT's Centre for Healthcare Transformation will develop sophisticated statistical models to assist clinicians with these decisions to improve patient outcomes and optimise the use of healthcare resources.
Using Artificial Intelligence to prioritise emergency calls for suicide prevention due to COVID-19 pandemic. August 2020
Suicide rates in Australia could rise by 50% due to COVID-19. Emergency helplines receive many hoax calls, which waste valuable resources and risk lives. Genuine distress causes involuntary physiological changes in people's voices. This Advance Queensland Industry Research Fellowship project led by Dr. Rajib Rana from the University of Southern Queensland's School of Sciences will develop artificial intelligence algorithms to detect genuine distress in caller's voice. Enabling better service prioritisation, the project would save lives and conserve valuable resources.
Other Queensland COVID-19 initiatives
- Queensland Government
- Coronavirus (COVID-19) business assistance finder
- Life Sciences Queensland
- Life Sciences Queensland joins the data-powered alliance to stop COVID-19
Key Australian COVID-19 initiatives
Key international COVID-19 initiatives
- CORD-19 (COVID-19 Open Research Dataset)
- Free database of 130,000 plus COVID-19 open research papers