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 all of 10 matching responses out of 123 total responses.

  • Automating Infectious Disease Surveillance with Artificial Intelligence.  May 2021

    During viral pandemics, bacterial infections can significantly increase disease severity and result in unnecessarily high death rates. Disease severity is further complicated by high rates of antimicrobial resistance. This Advance Queensland Industry Research Fellowship project led by Dr. Brian Forde at the UQ Centre for Clinical Research will evaluate and develop an integrated artificial intelligence platform to automate and enhance existing genomic surveillance practices to reduce the burden of these infections when healthcare resources are stretched.

    #Data Science

    Centre

    Centre for Clinical Research
    The University of Queensland

    Contact details
    Doctor Brian Forde
    Fellow in Microbial Bioinformatics
    b.forde@uq.edu.au
    +61 7 334 65042
    Collaborations
    • Forensic and Scientific Services
    • Pathology Queensland
    • Royal Brisbane and Women's Hospital
    • Princess Alexandra Hospital
  • First 100 days of COVID-19 - Australian Twitter users' concerns mapped May 2021

    Twitter users were well ahead of the Federal Government in calling for shutdown of large sporting events, mass gatherings and schools. According to analysis of the 2.8 million tweets mentioning coronavirus during the first 100 days of COVID-19 on the Australian Twittersphere undertaken by team led by A/Prof. Daniel Angus from the Institute for Future Environments's Digital Observatory, Twitter users turned to medical experts for information while governments discussed measures. “In early to mid-March Twitter users began putting pressure on the federal and state ministers to shut down non-essential gatherings with tweets containing #coronavirus, the leading hashtag followed by #covid19, and the third most common hashtag at this time was #auspol, long used for political discussion” Associate Professor Angus said. Associate Professor Angus continued “When the story of this pandemic is written historians will have an unprecedented amount of as-it-happened data from social media.”

    #Data Science

    Centre

    Institute for Future Environments
    Queensland University of Technology

    Contact details
    A/Prof Daniel Angus
    Associate Professor in Digital Communication
    daniel.angus@qut.edu.au
    +61 7 3138 8160
    Collaborations
    Collaborators: Visualisation and eResearch
  • ‘Corona? 5G? Or Both?’: The Dynamics of COVID-19/5G Conspiracy Theories on Facebook August 2020

    Focussing in detail on one key component of the infodemic surrounding COVID-19, Prof. Axel Bruns from the QUT Digital Media Research Centre and co-researchers traces the dissemination dynamics of rumours that the pandemic outbreak was somehow related to the rollout of 5G mobile telephony technology in Wuhan and around the world. Research will draw on a mixture of quantitative and qualitative methods including time-series analysis, network analysis and in-depth close reading. The indepth tracing of COVID-related mis- and disinformation across social networks offers important new insights into the dynamics of online information dissemination and points to opportunities to slow and stop the spread of false information, or at least to combat it more directly with accurate counter information .

    #Data Science

    Centre

    Digital Media Research Centre
    Queensland University of Technology

    Contact details
    Professor Axel Bruns
    Program Leader - Digital Publics
    a.bruns@qut.edu.au
    +61 7 3138 5548
    Collaborations
  • 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.

    #Data Science

    Centre

    Digital Media Research Centre
    Queensland University of Technology

    Contact details
    Professor Axel Bruns
    Program Leader - Digital Publics
    a.bruns@qut.edu.au
    +61 7 3138 5548
    Collaborations
  • QUT and Oxford researchers collaborate on new COVID-19 asthma drug trial July 2020

    QUT mathematician, physician and Australian Research Council Future Fellow, A/Prof. Dan Nicolau, is a lead researcher in the STOIC (STerOids In COVID-19) trial. Associate Professor Nicolau and Prof. Bafahdel from University of Oxford had noticed early in the pandemic that people with asthma and the chronic obstructive pulmonary disease (COPD) were under-represented in the numbers of seriously ill COVID-19 patients. The STOIC trial is looking at whether asthma inhalers given to people with early stage COVID-19 can reduce progression of respiratory illness and cut emergency department presentations and hospital admissions. Prof. Nicolau and the QUT team will be coordinating trial data analysis, modelling of pathological mechanisms and building COVID-19 maths models to explain and use the clinical trial data to optimise patient treatment, while Prof. Mona Bafahdel will lead the clinical trial with about 500 patients. Some patients will be given the inexpensive, widely-prescribed inhaler medication corticosteroid budesonide that is used to prevent and control asthma symptoms, while others are given a placebo. Budesonide acts to reduce irritation and inflammation of the lungs and airways.

    #Data Science

    Centre

    Science and Engineering Faculty, School of Mathematical Sciences
    Queensland University of Technology

    Contact details
    A/Prof Dan Nicolau
    Future Fellow, Science and Engineering Faculty
    dan.nicolau@qut.edu.au
    +61 7 3138 5238
    Collaborations
    • Co-researchers: Alexander Hasson - QUT Honours student
    • Prof. Mona Bafahdel - University of Oxford
    • A/Prof. Dr. Nabil Fadai - University of Nottingham
  • 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.

    #Data Science

    Centre

    Centre for Healthcare Transformation
    Queensland University of Technology

    Contact details
    Doctor Nicole White
    Research Fellow
    nm.white@qut.edu.au
    +617 3138 6228
    Collaborations
    • The Prince Charles Hospital Foundation
    • The Prince Charles Hospital
  • COVID-19 movement restrictions can be more targeted to allow relaxing of lockdowns April 2020

    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.

    #Data Science

    Centre

    Centre for Data Science
    Queensland University of Technology

    Contact details
    Professor Raja Jurdak
    r.jurdak@qut.edu.au
    +61 7 3138 4249
    Collaborations
    • University of New South Wales
    • Johns Hopkins University
    • CSIRO
  • 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.

    #Data Science

    Centre

    Centre for Health Research
    University of Southern Queensland

    Contact details
    Professor Raj Gururajan
    Raj.Gururajan@usq.edu.au
    +61 7 3470 4539
    Collaborations
    • Xiahui Tao (USQ)
    • Xujuan Zhou (USQ)
    • Rajendra Acharya (Singapore)
    • Revathi Venkataraman (India)
    • Dr. Soman Elangovan (Belmont Private Hospital - Brisbane)
  • 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.

    #Data Science

    Centre

    School of Sciences
    University of Southern Queensland

    Contact details
    Doctor Rajib Rana
    Senior Lecturer (Computer Science)
    Rajib.Rana@usq.edu.au
    +61 7 3470 4234
    Collaborations
    • Metro North Mental Health Services
    • NetCare Holdings Pty Ltd
  • Like a Virus: The Coordinated Spread of Coronavirus Disinformation June 2020

    This report for the Centre for Responsible Technology at the Australia Institute by Dr. Timothy Graham and co-researcher at the QUT Digital Media Research Centre presents analysis of over 25.5 million tweets over 10 days identifies 5,752 accounts that coordinated 6,559 times to spread mis- and disinformation regarding the coronavirus for either commercial or political purposes. Almost all politically motivated activity promoted right wing governments or parties. Coordinated spreading of the China bioweapon conspiracy theory is estimated to have made over 5 million impressions on Twitter users, spread by mainly pro-Trump, partisan conservative and/or QAnon accounts.

    #Data Science

    Centre

    Digital Media Research Centre
    Queensland University of Technology

    Contact details
    Doctor Timothy Graham
    Senior Lecturer
    timothy.graham@qut.edu.au
    +61 7 3138 8187
    Collaborations
    • Co-researchers:
    •  Prof. Axel Bruns
    • Guangnam Zhu - Digital Media Research Centre
    • Rod Campbell - The Australia Institute

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

Australian Academy of Science
Rapid Research Information Forum (RRIF)
COVID-19 Expert Database

Key international COVID-19 initiatives

CORD-19 (COVID-19 Open Research Dataset)
Free database of 130,000 plus COVID-19 open research papers