论文标题
为COVID-19建模严格的年龄定为缓解策略
Modeling strict age-targeted mitigation strategies for COVID-19
论文作者
论文摘要
我们使用一个简单的SIR样流行病模型，该模型将已知的年龄接触模式整合为美国，以模拟针对年龄的缓解策略的效果，以造成COVID-19的类似19的流行病。我们发现，在以人口免疫力结束的策略中，严格针对年龄的缓解策略有可能大大降低死亡率和ICU利用自然参数选择。
We use a simple SIR-like epidemic model which integrates known age-contact patterns for the United States to model the effect of age-targeted mitigation strategies for a COVID-19-like epidemic. We find that, among strategies which end with population immunity, strict age-targeted mitigation strategies have the potential to greatly reduce mortalities and ICU utilization for natural parameter choices.
