School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China.
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430070, China.
Int J Environ Res Public Health. 2021 Sep 30;18(19):10313. doi: 10.3390/ijerph181910313.
At the end of 2019, the COVID-19 pandemic began to emerge on a global scale, including China, and left deep traces on all societies. The spread of this virus shows remarkable temporal and spatial characteristics. Therefore, analyzing and visualizing the characteristics of the COVID-19 pandemic are relevant to the current pressing need and have realistic significance. In this article, we constructed a new model based on time-geography to analyze the movement pattern of COVID-19 in Hebei Province. The results show that as time changed COVID-19 presented an obvious dynamic distribution in space. It gradually migrated from the southwest region of Hebei Province to the northeast region. The factors affecting the moving patterns may be the migration and flow of population between and within the province, the economic development level and the development of road traffic of each city. It can be divided into three stages in terms of time. The first stage is the gradual spread of the epidemic, the second is the full spread of the epidemic, and the third is the time and again of the epidemic. Finally, we can verify the accuracy of the model through the standard deviation ellipse and location entropy.
2019 年末，COVID-19 疫情在全球范围内开始出现，包括中国，并在所有社会留下了深刻的痕迹。该病毒的传播具有显著的时空特征。因此，分析和可视化 COVID-19 疫情的特征与当前紧迫的需求相关，具有现实意义。在本文中，我们构建了一个基于时间地理学的新模型，用于分析河北省 COVID-19 的运动模式。结果表明，随着时间的变化，COVID-19 在空间上呈现出明显的动态分布。它逐渐从河北省的西南地区迁移到东北地区。影响移动模式的因素可能是省内和省内人口的迁移和流动、各城市的经济发展水平和道路交通发展。就时间而言，它可以分为三个阶段。第一阶段是疫情的逐渐传播，第二阶段是疫情的全面传播，第三阶段是疫情的一再出现。最后，我们可以通过标准差椭圆和位置熵来验证模型的准确性。
