New mathematical modelling shows the first smallpox epidemic among Aboriginal people in the Sydney region may have spread thousands of kilometres and lasted decades.
Articles on Mathematical modelling
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A new study tracks how young frogs are trying to avoid a deadly fungal infection.
It’s not easy to tell when a dynamic system, filled with life, might reach a point of no return.
Predicting how wildfires will behave is a complex endeavour, and requires sophisticated simulation models.
From more accurate climate modelling to the prospect of truly creative computers, the brain’s use of noise has a lot to teach us.
As the coronavirus pandemic continues, and the colder weather approaches, new mathematical models are needed to study changing social behaviours and indoor spaces.
We wanted to find out which biological phenomena are crucial for pattern formation and which are just incidental. These sorts of questions can be answered with mathematical modelling.
Lord May was an illustrious scientist, a towering figure in the British establishment, and a quintessential Aussie. His theories help explain everything from complex ecosystems to financial markets.
Policy-makers at various levels of government rely on models and simulations to make predictions about controlling the spread of COVID-19.
An audio version of an in depth article on why mathematical modelling is crucial to understanding pandemics like the new coronavirus.
It’s based on a combination of mathematical modelling, computer simulation and historical data from other pandemics.
Currently, the number of confirmed global COVID-19 cases is doubling about every six days. At this rate, Australia’s health sector will be unable to cope.
Mathematical modelling is capable of saving lives, assisting in policy and decision-making, and optimising economic growth.
Everyone will benefit from wider HPV vaccinations.
Mathematics researchers have developed a technique for detecting autism that could eventually make a diagnostic process faster and less stressful for children and families.
Applied Epidemiological Modelling has enormous potential to improve how decisions are made about public health in African countries.
Top contributors
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Professor, Systems and Computer Engineering, Carleton University
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Professor of Mathematical Biology and Public Engagement, University of Bath
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Junior researcher at SACEMA, South African Centre for Epidemiological Modelling & Analysis (SACEMA)
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Emeritus Professor, infectious disease ecology, Griffith University
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Senior lecturer, Applied Mathematics, La Trobe University
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Research Associate, ARC Centre of Excellence for Indigenous and Environmental Histories and Futures, Flinders University
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Matthew Flinders Professor of Global Ecology and Node Leader in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures, Flinders University
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Sean Ulm is a Friend of The Conversation.
Director, ARC Centre of Excellence for Indigenous and Environmental Histories and Futures, James Cook University
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Sir John Monash Distinguished Professor, Monash University. Deputy Director ARC Centre of Excellence for Indigenous and Environmental Histories and Futures, Monash University
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Postdoctoral research fellow, ARC Centre of Excellence for Indigenous and Environmental Histories and Futures (CIEHF) and Gujaga Foundation, UNSW
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Professor of Data Science; Director, Adelaide Data Science Centre, Adelaide University
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Lecturer in Applied Mathematics, Adelaide University
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Professor of Biology, McMaster University
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PhD Candidate, Adelaide University
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Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the Witwatersrand