论文标题
COVID-19：分配测试套件的策略
COVID-19: Strategies for Allocation of Test Kits
论文作者
论文摘要
随着Covid-19的不断增长，系统测试越来越多的人很重要。当前的测试设备分配策略主要基于规则，重点是具有（a）COVID-19，（b）旅行史或（c）与已确认的Covid-199患者接触的人（a）症状。这种测试策略可能会错过检测通过社区传播感染的无症状个体。因此，重要的是要分配针对防止社区传播和早期检测新案件的单独预算预算。 在本报告中，我们考虑分配测试套件并讨论一些解决方案方法的问题。我们认为，这些方法对遏制社区传播和早期检测新案例将很有用。此外，这些方法将有助于收集无偏的数据，然后可以使用这些数据来提高经过训练以预测COVID-19感染的机器学习模型的准确性。
With the increasing spread of COVID-19, it is important to systematically test more and more people. The current strategy for test-kit allocation is mostly rule-based, focusing on individuals having (a) symptoms for COVID-19, (b) travel history or (c) contact history with confirmed COVID-19 patients. Such testing strategy may miss out on detecting asymptomatic individuals who got infected via community spread. Thus, it is important to allocate a separate budget of test-kits per day targeted towards preventing community spread and detecting new cases early on. In this report, we consider the problem of allocating test-kits and discuss some solution approaches. We believe that these approaches will be useful to contain community spread and detect new cases early on. Additionally, these approaches would help in collecting unbiased data which can then be used to improve the accuracy of machine learning models trained to predict COVID-19 infections.
