College of Economics, Hangzhou Dianzi University, Hangzhou, China.
Front Public Health. 2022 Aug 10;10:897784. doi: 10.3389/fpubh.2022.897784. eCollection 2022.
Based on the epidemic data of COVID-19 in 50 states of the United States (the US) from December 2021 to January 2022, the spatial and temporal clustering characteristics of COVID-19 in the US are explored and analyzed. First, the retrospective spatiotemporal analysis is performed by using SaTScan 9.5, and 17 incidence areas are obtained. Second, the reliability of the results is tested by the circular distribution method in the time latitude and the clustering method in the spatial latitude, and it is confirmed that the retrospective spatiotemporal analysis accurately measures in time and reasonably divides regions according to the characteristics in space. Empirical results show that the first-level clustering area of the epidemic has six states with an average relative risk of 1.28 and the second-level clustering area includes 18 states with an average relative risk of 0.86. At present, the epidemic situation in the US continues to expand. It is necessary to do constructive work in epidemic prevention, reduce the impact of epidemic, and effectively control the spread of the epidemic.
基于 2021 年 12 月至 2022 年 1 月美国 50 个州的 COVID-19 疫情数据,探索和分析了美国 COVID-19 的时空聚集特征。首先,使用 SaTScan 9.5 进行回顾性时空分析,得到 17 个发病地区。其次,通过时间纬度的圆形分布方法和空间纬度的聚类方法对结果的可靠性进行检验,确认回顾性时空分析能够准确地进行时间测量,并根据空间特征合理地进行区域划分。实证结果表明,疫情一级聚类区有六个州,平均相对风险为 1.28,二级聚类区包括 18 个州,平均相对风险为 0.86。目前,美国疫情仍在蔓延,有必要在疫情防控方面开展建设性工作,减轻疫情影响,有效控制疫情传播。