论文标题
回复Zhang等人：线性回归不会封装非药物干预对Covid-19情况数的影响
Reply to Zhang et al.: Linear regression does not encapsulate the effect of non-pharmaceutical interventions on the number of COVID-19 cases
论文作者
论文摘要
张等。 （2020）使用线性回归来量化锁定对COVID-19病例数量的影响。我们显示了使用易感性感染的反射（SEIR）模型的微分方程，并显示了一个以前不考虑Zhang等人的位置的示例。分析不应被认为是可靠的证据表明，掩盖授权足以控制或控制Covid-19的传播的主要因素。
Zhang et al. (2020) used linear regression to quantify the effect of lockdowns on the number of cases of COVID-19. We show using differential equations from the susceptible-exposed-infected-recovered (SEIR) model and with an example from another location not previously considered that the Zhang et al. analysis should not be considered sound evidence that mask mandates are sufficient to control or the primary factor controlling the spread of COVID-19.
