Abstract
We use a susceptible-infective-removed (SIR) model to examine the impacts of different isolation measures to combat the COVID-19 pandemic. The model predicts that strong isolation measures in the early stage of the pandemic can not only delay the time for the number of infections and deaths to reach the peak but also greatly reduce the cumulative number of infections and deaths. We verify the model predictions by using the simulation and the data of the COVID-19 cases. The results are independent of the joint distribution of the fatality rate and the initial number of active cases.
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