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Most focus during the Covid-19 crisis has been on which measures of governments are the most effective to curb the spread of the virus. Far less attention has been given to the best way to release the restrictions. In this chapter we discuss the various elements of the so-called exit strategies from different governments. We will group them in several types of strategies and compare the effectiveness of them. From our simulations we do not observe big differences in the outcomes from the exit strategies. Because the simulations are run on a small scale more research would be needed to see how the results could be translated to the real world. However, in practice we have seen that the effects of the different strategies in countries around the world have indeed had little effect on preventing a second wave.
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The probability that an agent will come back after x ticks is \((1 - 0.12)^x\), so the chance of them being away for at least 12 ticks is 0.216.
This can only happen if the stores run out of both capital and goods to sell.
This last number if based on the amount of agents of each age group, multiplied with the chance of that age group taking the bus if they needed to travel.
- Effects of Exit Strategies for the COVID-19 Crisis
- Chapter 10