山东省新型冠状病毒肺炎疫情空间分异
Spatial Distribution of COVID-19 in Shandong Province, China
DOI: 10.12677/GSER.2021.102017, PDF,    科研立项经费支持
作者: 戴怡昕, 秦 鹏*：青岛农业大学资源与环境学院，山东 青岛
关键词: 空间自相关；地理探测；新型冠状病毒肺炎；山东省；Spatial Autocorrelation； Geographic Detection； COVID-19； Shandong
摘要: 新型冠状病毒肺炎目前仍呈现全球大流行趋势，在中国疫情基本结束的情况下，科学探究疫情空间分异特征，对当前国际第二波疫情具有指导意义。基于截至2020年4月16日24时山东省各县(市、区)病例数据，在区县尺度上对病例数进行空间自相关分析。结果显示：山东省疫情经历了爆发、有效控制和稳定的发展过程，累计报告确诊病例763例，病例遍布山东省137个县(市、区)中的99个，覆盖比例达72.26%，各县域疫情空间分布差异明显；山东省疫情呈现空间极化特性，部分区县呈现空间扩散特点，热点区域主要集中于济宁市。由此可知，新型冠状病毒肺炎在山东省存在明显空间分异性，预防和控制传播的措施也应因地制宜。
Abstract: COVID-19 is still showing the trend of global pandemic. With the end of the epidemic situation in China, it is instructive for current international second wave of epidemic to scientifically explore the spatial differentiation characteristics and its socioeconomic influencing factors of epidemic. Based on the case data of each county (city, district) in Shandong Province as of 24:00 on April 16, 2020, the spatial autocorrelation analysis of the number of cases was carried out at the county level. Re-search showed that the epidemic situation in Shandong Province has experienced a process of out-break, effective control and stability. A total of 763 confirmed cases were reported in Shandong Province. The cases were found in 99 of 137 counties in Shandong province, with a coverage rate of 72.26%, and the spatial distribution of COVID-19 in each county is obviously different. The epidemic situation in Shandong province presented spatial polarization, some counties showed the charac-teristics of spatial diffusion. The high-risk areas (hot spots) were mainly concentrated in Jining City. Therefore, there is obvious spatial heterogeneity of COVID-19 in Shandong province and the pre-vention and control measures should also be adapted to local conditions.
文章引用：戴怡昕, 秦鹏. 山东省新型冠状病毒肺炎疫情空间分异[J]. 地理科学研究, 2021, 10(2): 137-143. https://doi.org/10.12677/GSER.2021.102017

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