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 2 matching responses out of 149 total responses.
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A systematic review and meta-analysis comparing studies of seroprevalence of SARS-CoV-2 infections with cumulative and imputed COVID-19 cases October 2021
The level of a pathogen in the blood serum across a human population is termed seroprevalence. Accurate background estimates of the seroprevalence of SARS-CoV-2 in different populations could clarify the extent to which current testing strategies are identifying all active infection, and hence the true magnitude and spread of the infection. This study, that examined over 2000 studies, has shown SARS-CoV-2 seroprevalence is well below herd immunity in all countries studied. The estimated number of infections, however, were much greater than the number of reported cases and deaths in almost all locations. The majority of seropositive people reported prior COVID-like symptoms, suggesting that undertesting of symptomatic people may be causing a substantial under-ascertainment of SARS-CoV-2 infections. Systematic assessment of 17-country data shows SARS-CoV-2 seroprevalence is mostly less than 10% - levels well below herd immunity. High symptom rates in seropositive cases suggest undertesting of symptomatic people and could explain gaps between seroprevalence rates and reported cases. The estimated number of infections for the majority of the studies ranged from 2-717 times greater than the number of reported cases in that region and up to 13 times greater than the cases imputed from the number of reported deaths.
#Epidemiology#Systematic review#Meta-analysis
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Institute for Evidence-Based Healthcare
Bond University - Contact details
- Dr Oyungerel Byambasuren
Postdoctoral Research Fellow
obyambas@bond.edu.au
+617 5595 5518 - Collaborations
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- Collaborators:
- Assoc Prof Claudia C Dobler - UNSW and Hon Adjunct at Institute for Evidence-Based Healthcare
- Assoc Prof Katy Bell - University of Sydney
- Diana Patricia Rojas - James Cook University
- Justin Clark - Institute for Evidence-Based Healthcare
- Prof Mary-Louise McLaws - UNSW
- Prof Paul Glasziou - Institute for Evidence-Based Healthcare
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A systematic review and meta-analysis that estimated the extent of asymptomatic COVID-19 and its potential for community transmission September 2021
Knowing the prevalence of true asymptomatic coronavirus disease cases is critical for designing mitigation measures against the pandemic. This study aimed to synthesise all available research on asymptomatic cases and transmission rates. By screening over 2000 articles, the researchers found that their one-in-six estimate of the prevalence of asymptomatic COVID-19 cases and asymptomatic transmission rates is lower than those of many highly publicized studies but still sufficient to warrant policy attention. Further robust epidemiological evidence is urgently needed, including in subpopulations such as children, to better understand how asymptomatic cases contribute to the pandemic.
#Epidemiology#Systematic review#Meta-analysis
- Centre
-
Institute for Evidence-Based Healthcare
Bond University - Contact details
- Dr Oyungerel Byambasuren
Postdoctoral Research Fellow
obyambas@bond.edu.au
+617 5595 5518 - Collaborations
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- Collaborators: Assoc Prof Magnolia Cardona - Institute for Evidence-Based Healthcare
- Assoc Prof Katy Bell - University of Sydney
- Justin Clark - Institute for Evidence-Based Healthcare
- Prof Mary-Louise McLaws - UNSW
- Prof Paul Glasziou - Institute for Evidence-Based Healthcare
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