论文标题
建模Covid-19在小型大学中传播
Modeling COVID-19 Spread in Small Colleges
论文作者
论文摘要
我们在网络上开发了一个基于代理的模型，该模型旨在捕获通过小型住宅学院传播的Covid-19特征。我们发现，安全的重新开放需要管理员的强大政策，并结合学生的谨慎行为。强大的政策包括每周进行筛查测试，并迅速周转和使校园人口减半。学生的谨慎行为意味着佩戴面罩，更少的社交活动以及参加Covid-19测试。我们还发现，全面的测试和面罩是最有效的单一干预措施，建筑物封闭可能会导致其他领域的感染峰值，具体取决于学生的行为，并且测试结果更快地大大降低了总感染。
We develop an agent-based model on a network meant to capture features unique to COVID-19 spread through a small residential college. We find that a safe reopening requires strong policy from administrators combined with cautious behavior from students. Strong policy includes weekly screening tests with quick turnaround and halving the campus population. Cautious behavior from students means wearing facemasks, socializing less, and showing up for COVID-19 testing. We also find that comprehensive testing and facemasks are the most effective single interventions, building closures can lead to infection spikes in other areas depending on student behavior, and faster return of test results significantly reduces total infections.
