A Simplified Approach to Understanding How Mathematical Modeling of COVID-19 Can Help Minimize Spread

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.

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