The ongoing pandemic of the novel coronavirus disease 2019 (COVID-19) has impacted tens of millions of people and caused a huge economic loss. Most of the impacted countries have implemented different non-pharmaceutical interventions (NPIs) to control and prevent the spreading of SARS-Cov-2, which is the virus causing COVID-19. With the coming flu season in the northern hemisphere, many countries are preparing for the potential second or third wave of COVID-19. Therefore it is crucial to understand the differential timing and effectiveness of these NPIs. We congratulate the authors for a very stimulating paper on this timely and crucial topic. The paper tackles several important questions regarding the evaluation of the effects of mild intervention policies for reducing the transmission of SARSCov- 2, with available observational data amid the ongoing pandemic. The proposed approach combines a variety of statistical tools and practical wisdom in an intriguing manner. There’s no doubt about the importance and the potential impact of this paper. In the following, we would like to further discuss several related aspects.

中文翻译：

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Tian等人讨论了“在大工业区中通过综合控制方法实施COVID-19轻度干预的时机和有效性” 。

新型冠状病毒病2019（COVID-19）的持续大流行已经影响了数千万人，并造成了巨大的经济损失。大多数受影响的国家已经实施了不同的非药物干预措施（NPI），以控制和预防SARS-Cov-2的传播，SARS-Cov-2是引起COVID-19的病毒。随着北半球流感季节的来临，许多国家正在为潜在的第二或第三次COVID-19浪潮做准备。因此，了解这些NPI的不同时机和有效性至关重要。我们祝贺作者就这个及时而关键的话题发表了非常令人振奋的论文。本文探讨了有关评估轻度干预政策对减少SARSCov-2传播的影响的几个重要问题。在持续的大流行中获得可用的观测数据。所提出的方法以一种有趣的方式结合了各种统计工具和实践智慧。毫无疑问，本文的重要性和潜在影响。在下文中，我们将进一步讨论几个相关方面。