中国COVID-19疫情时空演化与综合防控

doi:10.11821/dlxb202011015

Abstract

Abstract:

The sudden outbreak of the novel coronavirus disease (COVID-19), an unexpected emergency event in human society, is spreading globally and has severe impacts on human health and social development. Based on the confirmed COVID-19 cases' details manually extracted from the official reports and the relevant Point of Interest (POI) data, this paper aims to explore the sociodemographic characteristics of confirmed COVID-19 cases and examine the spatio-temporal evolution patterns on different spatial scales in China by using text analysis, spatial analysis and other methods. Furthermore, we provide targeted measures for prevention and control of this epidemic. The results indicate that: (1) In contrast to the twenty-four solar terms, the epidemic started at Heavy Snow, ran rampant in the Beginning of Spring, declined in the Awakening of Insects, and stagnated at the Vernal Equinox. It experienced four stages: the early period of Wuhan dominant outbreak, the middle period of cross-country diffusion, the later period of Wuhan dominant decline and the ending period of rare local epidemic transmission. (2) The spatial distribution presents a pattern of "one core, two arcs and multiple islands", mainly affected by the distance to Wuhan and the flow of population; the spatial evolution is manifested in the mode of "core outbreak - cluster occurrence - dispersion occurrence - point occurrence". The core aggregation area in each stage was located in Hubei province. Finally, by integrating the influencing factors and effective measures of the epidemic evolution in China, this paper proposes effective countermeasures for the spread of the current epidemic and the coordinated development of human resources in response to similar challenges in the future, which are manifested in instant response, coordinated cooperation, regular prevention and control, and strict prevention of importation, etc. Also, the directions of in-depth study in the future are pointed out.

Key words: COVID-19, major epidemic, spatio-temporal evolution, prevention and control measures, China

LI Gang, WANG Jiaobei, XU Tingting, GAO Xing, JIN Annan, YU Yue. Spatio-temporal evolution process and integrated measures for prevention and control of COVID-19 epidemic in China[J].Acta Geographica Sinica, 2020, 75(11): 2475-2489.

Figures/Tables 7

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References 33

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地域	平均值	属性	地域	平均值	属性	地域	平均值	属性
广东	27.79	沿海弧	安徽	2.60	邻近	海南	0.59	其他
浙江	14.29	沿海弧	陕西	2.27	邻近	辽宁	0.42	其他
湖南	7.81	邻近	四川	2.23	其他	甘肃	0.37	其他
江苏	7.00	沿海弧	山东	1.88	沿海弧	西藏	0.33	其他
河南	5.94	邻近	河北	1.57	沿海弧	新疆	0.31	其他
上海	4.31	多岛	广西	1.35	其他	黑龙江	0.22	多岛
福建	4.29	沿海弧	贵州	1.15	其他	内蒙古	0.21	其他
江西	3.66	邻近	云南	1.07	其他	吉林	0.20	其他
重庆	3.39	邻近	天津	0.71	多岛	宁夏	0.13	其他
北京	3.17	多岛	山西	0.68	其他	青海	0.12	其他

时间	高—高型	低—高型
随机扩散期	武汉市、黄冈市、孝感市	鄂州市^*
高度集聚期	十堰市^*、宜昌市、襄阳市、荆门市、随州市、孝感市、武汉市、仙桃市、荆州市、咸宁市、黄石市、黄冈市、鄂州市
集聚衰退期	随州市^、孝感市、武汉市、荆州市^、黄石市、黄冈市、鄂州市
集聚停滞期	随州市^、孝感市、武汉市、荆州市^、黄石市^*、黄冈市、鄂州市

Spatio-temporal evolution process and integrated measures for prevention and control of COVID-19 epidemic in China

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