The Charles Stark Draper Laboratory, Cambridge, MA 02139, USA.
Department of Statistics, Harvard University, Cambridge, MA 02139, USA.
Int J Environ Res Public Health. 2024 Jan 7;21(1):67. doi: 10.3390/ijerph21010067.
The initial outbreak of COVID-19 during late December 2019 and the subsequent global pandemic markedly changed consumer mobility patterns worldwide, largely in response to government-ordered non-pharmaceutical interventions (NPIs). In this study, we investigate these changes as they relate to the initial spread of COVID-19 within two states-Massachusetts and Michigan. Specifically, we use linear and generalized linear mixed-effects models to quantify the relationship between four NPIs and individuals' point-of-sale (POS) credit card transactions, as well as the relationship between subsequent changes in POS transactions and county-level COVID-19 case growth rates. Our analysis reveals a significant negative association between NPIs and daily POS transactions, particularly a dose-response relationship, in which stringent workplace closures, stay-at-home requirements, and gathering restrictions were all associated with decreased POS transactions. We also uncover a significant positive association between 12-day lagged changes in POS transactions compared to pre-pandemic baselines and county-level COVID-19 case growth rates. Overall, our study supports previous findings that early NPIs reduced human mobility and COVID-19 transmission in the US, providing policymakers with quantitative evidence concerning the effectiveness of NPIs.
2019 年 12 月下旬 COVID-19 的最初爆发以及随后的全球大流行显著改变了全球消费者的流动模式,这主要是为了应对政府下令采取的非药物干预措施(NPIs)。在这项研究中,我们研究了与 COVID-19 在马萨诸塞州和密歇根州两个州的最初传播有关的这些变化。具体来说,我们使用线性和广义线性混合效应模型来量化四项 NPI 与个人销售点(POS)信用卡交易之间的关系,以及 POS 交易随后的变化与县级 COVID-19 病例增长率之间的关系。我们的分析表明,NPI 与每日 POS 交易之间存在显著的负相关关系,尤其是存在剂量反应关系,其中严格的工作场所关闭、居家要求和聚会限制都与 POS 交易减少有关。我们还发现,与大流行前基线相比,12 天滞后的 POS 交易变化与县级 COVID-19 病例增长率之间存在显著的正相关关系。总的来说,我们的研究支持了先前的发现,即早期的 NPI 减少了美国的人员流动和 COVID-19 的传播,为政策制定者提供了有关 NPI 有效性的定量证据。