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 7 matching responses out of 142 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
  • Spatial mapping of COVID-19 infected tissues May 2021

    We used cutting-edge spatial mapping tools to identify and compare cells in the lungs of COVID-19 patients, to that of influenza and healthy tissue. This work has identified genes which are exclusive to COVID-19 and may be used to stratify disease severity early on.

    #Data Science

    Centre

    Queensland University of Technology

    Contact details
    Doctor Arutha Kulasinghe
    NHMRC Research Fellow
    arutha.kulasinghe@qut.edu.au
    +61 7 3138 6227
    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. A/Prof 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
    +61 7 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

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