Epidemiology of the COVID-19 pandemic

Research program: 
Currently recruiting: 
Yes
The challenge: 

The unprecedented COVID-19 pandemic makes it important to consider the epidemiologic risk factors for spread under different conditions so that appropriate policies can be developed to prevent or respond to future outbreaks. Throughout the pandemic, data on individual cases of COVID-19 around the world have been collected and is now available as an open source database, for researchers to access and analyse. The aim of this study will be to examine the epidemiological and genetic factors linked to the COVID-19 pandemic.

The project: 

Using an open source epidemiologic database of COVID-19 cases, we will link SARS-CoV-2 genetic sequence data from open source data such as GISAID and analyse the epidemiology of COVID-19.

The method: 

Data from the Open COVID-19 Data Curation Group will be used for selected countries and linked to open source genetic sequence data where possible, using a matching algorithm already developed by the Biosecurity Program. Epidemiologic and GIS analysis (using Arc GIS) will be done.

The results: 

Data from the Open COVID-19 Data Curation Group will be used for selected countries and linked to open source genetic sequence data where possible, using a matching algorithm already developed by the Biosecurity Program. Epidemiologic and GIS analysis (using Arc GIS) will be done.

The impact: 

The principle of open source epidemic data is to allow many different groups to apply critical thinking and analysis to help mitigate the epidemic. Our research will provide additional analysis and insights on COVID-19 epidemiology. This project will address the current COVID-19 global outbreak in geographic hot spots as well as evaluate Australia’s preparedness for likely future coronaviral disease outbreaks.

Project contact: 
Head, Biosecurity Program, and Professor of Global Biosecurity, Kirby Institute and NHMRC Principal Research Fellow
Project collaborators: 
  • Samsung Lim
  • Phi Yen Nguyen 
Header image credit: 

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