论文标题
COVID-19和其他病毒：通过大规模测试阻止其扩展
COVID-19 and other viruses: holding back its expansion by massive testing
论文作者
论文摘要
新加坡和韩国的经验清楚地表明，在某些情况下，大规模的测试是包含19日前进的有效方法。在本文中，我们提出了一个修改后的SEIR模型，该模型考虑了追踪和大规模的测试，从理论上讲，更多的追踪和测试意味着从长远来看，被感染者总数减少了。我们将此模型应用于西班牙第一波疾病的传播，获得了数值结果。之后，我们引入了一种启发式方法，以通过计划在一段时间内计划有效的测试分布来最大程度地减少共vid-19的扩散。作为一种应用，根据所节省的感染者的数量计算，根据这种方法在纽约县之间分发测试的影响。
The experience of Singapur and South Korea makes it clear that under certain circumstances massive testing is an effective way for containing the advance of the COVID-19. In this paper, we propose a modified SEIR model which takes into account tracing and massive testing, proving theoretically that more tracing and testing implies a reduction of the total number of infected people in the long run. We apply this model to the spread of the first wave of the disease in Spain, obtaining numerical results. After that, we introduce a heuristic approach in order to minimize the COVID-19 spreading by planning effective test distributions among the populations of a region over a period of time. As an application, the impact of distributing tests among the counties of New York according to this method is computed in terms of the number of saved infected individuals.
