回复Zhang等人：线性回归未涵盖非药物干预对COVID-19病例数的影响
Reply to Zhang et al.: Linear regression does not encapsulate the effect of non-pharmaceutical interventions on the number of COVID-19 cases
摘要：
Zhang等人（2020）使用线性回归来量化封锁对COVID-19病例数量的影响。我们使用来自敏感-暴露-感染-恢复（SEIR）模型的微分方程，并以以前未考虑过的另一个地点为例，证明Zhang等人的分析不应被视为口罩强制措施足以控制COVID-19传播或控制COVID-19传播的主要因素的可靠证据。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
