Simon Fraser University mathematics professor Caroline Colijn will lead a new, national infectious disease modeling network that will inform decisions related to public health threats and better ...

Can an algebraic equation hold the secret to eradicating malaria or schistosomiasis? A mathematics professor is utilizing the combination of algorithms and models in an effort to assist his medical ...

In today’s interconnected world, the rapid spread of infectious diseases poses a significant threat to global health and economic stability. The emergence of novel pathogens can lead to widespread ...

The joint research team has developed a new estimation method that overcomes the fundamental limitations of conventional epidemiological parameter estimation. (left) Conventional methods assume ...

Epidemiological models are simplified mathematical representations of infectious disease outbreaks to understand the course of disease evolution in a population, by combining various inputs of how a ...

Mathematics can help public health workers better understand and influence human behaviors that lead to the spread of infectious disease. Mathematics can help public health workers better understand ...

Infectious diseases can spread rapidly and unpredictably, catching communities off guard. However, mathematical modelling can be a powerful tool to anticipate and prepare for outbreaks, including ...

Graduate student Jason Davis doesn’t use a traditional lab to study prion diseases. Instead, he relies on computer modeling and applied mathematics. Jason Davis uses computer modeling and applied ...

It is possible to successfully fend off a zombie attack, according to Canadian mathematicians. The key is to "hit hard and hit often." Oh yes, somebody actually did a study on mathematics of a ...

The focus of my research is in mathematical and computational biology with particular applications in ecology, infectious diseases, and agriculture through modeling, analysis, and simulations.

Infectious disease modelling is about creating mathematical descriptions of epidemics. In doing so, we aim to say something about the drivers of epidemics and strategies for reducing their impact on ...

Artificial intelligence’s role in disease modeling could be transformative. Its ability to analyze massive datasets rapidly, uncover hidden trends and forecast likely outcomes could accelerate ...