Author: Markus Mueller; Peter Derlet; Christopher Mudry; Gabriel Aeppli
Title: Using random testing to manage a safe exit from the COVID-19 lockdown Document date: 2020_4_14
ID: loi1vs5y_54
Snippet: To model the performance of policy strategies, we neglect the contributions to the time evolution of k(t) due to the increasing immunity or the evolution in the age distribution of infected people. We also neglect periodic temporal fluctuations of k(t) (e.g., due to alternation between workdays and weekends), which can be addressed in further elaborations. Instead, we assume that k(t) changes only in response to policy measures which are taken at.....
Document: To model the performance of policy strategies, we neglect the contributions to the time evolution of k(t) due to the increasing immunity or the evolution in the age distribution of infected people. We also neglect periodic temporal fluctuations of k(t) (e.g., due to alternation between workdays and weekends), which can be addressed in further elaborations. Instead, we assume that k(t) changes only in response to policy measures which are taken at specific times when certain criteria are met, as defined by a policy strategy. An intervention is made when the sampled testing data indicates that with high likelihood, k(t) exceeds some upper threshold
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