Hong Jinwook, Jung Jaehun
Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.
Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
J Korean Med Sci. 2025 Jan 13;40(2):e6. doi: 10.3346/jkms.2025.40.e6.
The coronavirus disease 2019 (COVID-19) pandemic has altered daily behavioral patterns based on government healthcare policies, including consumption and movement patterns. We aimed to examine the extent to which changes in the government's healthcare policy have affected people's lives, primarily focusing on changes in consumption and population movements.
We collected consumption data using weekly credit card transaction data from the Hana Card Corporation and population mobility data using mobile phone data from SK Telecom in Seoul, South Korea. Interrupted time-series analysis was used to calculate the relative risk ratio and perform the intervention effects when government healthcare policy changes.
We found that leisure and outside movements were the most immediately affected by changes in government healthcare policies. It took over 2 years and 11 months, respectively, for these sectors to return to their pre-COVID-19 routines.
Enhancing healthcare policies presents advantages and disadvantages. Although such policies help prevent the spread of COVID-19, they also reduce consumption and mobility, extending the time needed to return to pre-COVID-19 levels. Government healthcare policymakers should consider not only disease prevention but also the impact of these policies on social behaviors, economic activity, and mobility.
2019年冠状病毒病（COVID-19）大流行根据政府医疗政策改变了日常行为模式，包括消费和出行模式。我们旨在研究政府医疗政策的变化在多大程度上影响了人们的生活，主要关注消费和人口流动的变化。
我们使用韩国首尔韩亚卡公司的每周信用卡交易数据收集消费数据，并使用SK电信的手机数据收集人口流动数据。采用中断时间序列分析来计算相对风险比，并在政府医疗政策变化时进行干预效果分析。
我们发现休闲和外出活动最直接受到政府医疗政策变化的影响。这些行业分别花了2年11个月以上的时间才恢复到COVID-19之前的日常状态。
加强医疗政策有其利弊。虽然这些政策有助于防止COVID-19的传播，但它们也会减少消费和流动性，延长恢复到COVID-19之前水平所需的时间。政府医疗政策制定者不仅应考虑疾病预防，还应考虑这些政策对社会行为、经济活动和流动性的影响。
