Mathematical modelling of the spread of COVID-19 and solutions and tools for early detection

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As we practice the strict social distancing guidelines enforced by governments globally, many questions have arisen concerning the mathematical models that are being used to track and predict the outcome of the COVID-19 pandemic. This talk offers a simple examination of the SIR pandemic model and its value in predicting disease outcome under various social conditions. It also demonstrates how specific measures taken by individuals coupled with widespread testing can directly affect the modelling to limit viral transmission and reduce the risk of a second wave of the pandemic.

In this webinar, Dr. Taylor will cover:

A simplified explanation of pandemic modelling.
How the model can offer guidance in practical measures that can be taken to reduce the spread of disease.
Solutions that can bring widespread testing to limit transmission of COVID-19 globally.
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