Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (10): 82-88.doi: 10.6040/j.issn.1671-7554.0.2020.0735

Previous Articles     Next Articles

Clustering distribution of COVID-19 in Wenzhou from January to March 2020 based on spatiotemporal analysis

LIU Lili, JIA Yan, QI Chang, ZHU Yuchen, LI Chunyu, SHE Kaili, LIU Tingxuan, LI Xiujun   

  1. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
  • Published:2020-10-08

PDF (PC)

269

Abstract: Objective To explore the spatiotemporal distribution of COVID-19 in Wenzhou and to provide theoretical basis for the formulation of preventive and control measures. Methods The epidemic data of COVID-19 cases returning from Wuhan and local secondary cases who contacted with the confirmed cases from 21 January 2020 to 1 March 2020 were collected and analyzed. ArcGIS 10.5 was used to produce a map of the number of cases. Spatiotemporal clustering analysis was performed with SaTScan 9.6 to explore the epidemic characteristics of returning and local cases and to investigate the causes of local cases. Results As of 1 March 2020, the cumulative number of COVID-19 cases was 504, with an incidence of 6.08/100 000. The cumulative number of discharged cases was 447. Of all cases, 168 returned from Wuhan and 221 local secondary cases contacted with the confirmed cases. The spatial-temporal cluster analysis of the two types of cases showed obvious clustering, and the clustering results were basically consistent. Clusters occurred mainly in Yueqing City, Ruian City and Yongjia County. Conclusion There is a spatialtemporal aggregation of COVID-19 in Wenzhou. Counties with more COVID-19 cases returning from Wuhan had more local secondary cases. Prevention and control measures should be taken especially in regions where a large number of people migrated to reduce the risk of COVID-19.

Key words: Coronavirus disease 2019, Spatiotemporal clustering, Spatial analysis, Space epidemiology, Wenzhou City

CLC Number: 

  • R574
[1] 中华人民共和国国家卫生健康委员会. 国家卫生健康委办公厅关于印发新型冠状病毒感染的肺炎防控方案(第三版)的通知[EB/OL].(2020-01-28)[2020-02-26]. http://www.nhc.gov.cn/xcs/zhengcwj/202001/470b128513fe46f086d79667db9f76a5.shtml.
[2] Zhu N, Zhang D, Wang W, et al. A novel coronavirus frompatients with pneumonia in China, 2019 [J]. N Engl J Med,2020, 382(8): 727-733.
[3] Li Q, Guan X, Wu P, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia[J]. N Engl J Med, 2020,382(13):1199-1207.
[4] 国家卫生健康委员会. 新型冠状病毒感染的肺炎诊疗方案(试行第六版)[EB/OL].(2020-02-19)[2020-02-21]. http://www. nhe. gov. cn/yzygi/s7653p/202002/8334a8326dd94d329df351d7da8aefc2. shtml.
[5] Zhao S, Zhuang Z, Cao P, et al. Quantifying the association between domestic travel and the exportation of novel coronavirus(2019-nCoV)cases from Wuhan, China in 2020: a correlational analysis [J]. J Travel Med, 2020, 27(2):taaa022.doi: 10.1093/jtm/taaa022.
[6] Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study [J]. Lancet, 2020,395(10225): 689-697.
[7] Li R, Cheng S, Luo C, et al. Epidemiological characteristics and spatial-temporal clusters of mumps in Shandong Province, China, 2005-2014 [J]. Sci Rep, 2017, 7: 46328. doi:10.1038/srep46328.
[8] Wu X, Hu S, Kwaku A B, et al. Spatio-temporal clustering analysis and its determinants of hand, foot and mouth disease in Hunan, China, 2009-2015 [J]. BMC Infect Dis, 2017,17(1): 645.
[9] Zhang H, Yang L, Li L, et al. The epidemic characteristics and spatial autocorrelation analysis of hand, foot and mouth disease from 2010 to 2015 in Shantou, Guangdong, China [J]. BMC Public Health, 2019,19(1): 998.
[10] Xu L, Shi Y, Rainey JJ, et al. Epidemiological features and spatial clusters of hand, foot, and mouth disease in Qinghai Province, China, 2009-2015 [J]. BMC Infect Dis, 2018,18(1): 624.
[11] 朱红, 涂珍, 吴家利, 等. 2015-2016年湖北省人群血吸虫病病情流行特征及时空聚集性分析[J]. 中国血吸虫病防治杂志, 2018, 30(4): 404-410. ZHU Hong, TU Zhen, WU Jiali, et al. Epidemiologic features and space-time clustering analysis of human schisto-somiasis in Hubei Province from 2015 to 2016 [J]. Chinese Journal of Schistosomiasis Control, 2018, 30(4): 404-410.
[12] World Health Organization. WHO Director-Generals opening remarks at the media briefing on COVID-19 [EB/OL].(2020-04-22)[2020-04-24]. https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19 - 22-april-2020.
[13] Biao Tang, Xia Wang, Qian Li, et al. Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions [J]. J Clin Med, 2020, 9(2): 462.
[14] Sahoo S, Rani S, Parveen S, et al. Self-harm and COVID-19 pandemic: an emerging concern – a report of 2 cases from India [J]. Asian J Psychiatr, 2020, 51: 102104. doi:10.1016/j.ajp.2020.102104.
[15] Gui J, Liu Z, Zhang T, et al. Epidemiological characteristics and spatial-temporal clusters of hand, foot, and mouth disease in Zhejiang Province, China, 2008-2012 [J]. PLoS One, 2015,10(9): e139109. doi:10.1371/journal.pone.0139109.
[16] 李明子. 温州“封城”的双重压力:18万温商在武汉,33万湖北人来温工作[EB/OL].(2020-03-10)[2020-05-04]. http://www.inewsweek.cn/society/2020-03-10/8721.html.
[17] 王智慧, 曾江忠, 张理想, 等. 温州地区52例新型冠状病毒肺炎治愈患者的临床特征分析[J]. 浙江医学, 2020, 42(4): 321-324. WANG Zhihui, ZENG Jiangzhong, ZHANG Lixiang, et al. Clinical characteristics of 52 patients with coronavirus disease 2019 in Wenzhou [J]. Zhejiang Medical Journal, 2020, 42(4): 321-324.
[18] 凌锋, 刘社兰, 倪朝荣, 等. 浙江省首例新型冠状病毒肺炎报告病例流行病学调查[J]. 预防医学, 2020, 32(2): 109-112. LING Feng, LIU Shelan, NI Chaorong, et al. Epidemiological investigation of the first reported case of coronavirus disease 2019(COVID-19)in Wenzhou city [J]. Prev Med, 2020, 32(2): 109-112.
[19] 林君芬, 吴梦娜, 吴昊澄, 等. 浙江省新型冠状病毒肺炎病例流行特征分析[J]. 预防医学, 2020, 32(3): 217-221. LIN Junfen, WU Mengna, WU Haocheng, et al. Epidemiological characteristics of coronavirus disease 2019 in Wenzhou city [J]. Preventive Medicine, 2020, 32(3): 217-221.
[20] Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China [J]. The Lancet, 2020, 395(10223): 497-506.
[21] 王小军, 高婧, 王小博, 等. 甘肃省新型冠状病毒肺炎病例的临床及流行病学特征[J]. 中国感染控制杂志, 2020, 19(3): 223-226. WANG Xiaojun, GAO Jing, WANG Xiaobo, et al. Clinical and epidemiological characteristics of patients with COVID-19 in Gansu Province [J]. Chinese Journal of Infection Control, 2020, 19(3): 223-226.
[22] Jia JS, Lu X, Yuan Y, et al. Population flow drives spatio-temporal distribution of COVID-19 in China [J]. Nature, 2020, 582(7812): 389-394.
[23] 温州市卫生健康委员会.我市积极防控新型冠状病毒感染的肺炎疫情[EB/OL].(2020-1-21)[2020-05-04]. http://wjw.wenzhou.gov.cn/art/2020/1/24/art_1209919_41855393.html.
[24] 何志辉, 宋铁, 黄琼, 等. 快速风险评估方法在城市防控新冠肺炎疫情工作的探索与运用——以温州市为例[J]. 华南预防医学, 2020, 46(2): 101-105. HE Zhihui, SONG Tie, HUANG Qiong, et al. Exploration and application of rapid risk assessment method in prevention and control of COVID-19 in urban areas: a case study based on data of Wenzhou [J]. South China Journal of Preventive Medicine, 2020, 46(2): 101-105.
[1] WANG Bin, BU Xuehui, KONG Xianggen, ZHANG Zhaohua, WU Anzhao, XIAO Di, JIANG Xuemei. Comparison of the clinical characteristics between 37 adults and 10 children with COVID-19 [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 112-116.
[2] WANG Ling, CAO Haixia, ZHANG Ling, ZHANG Wenna, PAN Yanping, SHI Ying, ZHANG Wei, CUI Feng. Investigation and analysis of the characteristics of a family cluster of coronavirus disease 2019 in Zibo [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 100-104.
[3] BAI Yao, CHEN Zhijun, SONG Shuxuan, HE Zhen, CHEN Baozhong, SHAO Zhongjun, LIU Kun. Investigation of a family cluster outbreak of coronavirus disease 2019 in Xian [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 95-99.
[4] ZHANG Hui, SONG Shuxuan, LIU Jifeng, HE Zhen, SHAO Zhongjun, LIU Kun. Epidemiological characteristics of COVID-19 in Xi’an city [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 89-94.
[5] LIU Tingxuan, QI Chang, SHE Kaili, JIA Yan, ZHU Yuchen, LI Chunyu, LIU Lili, WANG Xu, ZHANG Zhihua, LI Xiujun. Epidemiological characteristics and spatial-temporal clustering of COVID-19 in Hebei Province [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 74-81.
[6] JIA Yan, LI Chunyu, LIU Lili, SHE Kaili, LIU Tingxuan, ZHU Yuchen, QI Chang, ZHANG Dandan, WANG Xu, CHEN Enfu, LI Xiujun. Epidemic characteristics and spatial analysis of COVID-19 in Zhejiang Province [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 66-73.
[7] LIU Jun, LI Huan, ZHANG Shiyu, ZHANG Peng, AI Siqi, TIAN Fei, LIN Hualiang. Risk factors of severe and critical patients with COVID-19 in Hubei, China [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 60-65.
[8] QI Chang, ZHU Yuchen, LI Chunyu, LIU Lili, ZHANG Dandan, WANG Xu, SHE Kaili, CHEN Ming, KANG Dianmin, LI Xiujun. Influence factors of COVID-19 in Shandong Province based on geographically weighted generalized linear model [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 53-59.
[9] SHE Kaili, ZHANG Dandan, QI Chang, LIU Tingxuan, JIA Yan, ZHU Yuchen, LI Chunyu, LIU Lili, WANG Xu, SU Hong, LI Xiujun. Epidemiological characteristics and incubation period of coronavirus disease 2019 in Anhui Province [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 44-52.
[10] LI Chunyu, ZHU Yuchen, QI Chang, LIU Lili, ZHANG Dandan, WANG Xu, XU Xueli, LI Xiujun. Epidemic dynamics of COVID-19 in Xinyang City, Henan Province [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 38-43.
[11] JIN Xinye, LU Zhenzhen, DING Zhongxing, CHEN Feng, PENG Zhihang. A dynamic modeling study on the effects of Wuhan traffic control and centralized quarantine measures on COVID-19 epidemic [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 25-31.
[12] XU Lijun, LIU Wenhui, LIU Yuan, LI Meixia, LUO Lei, OU Chunquan. Construction of SEIQCR epidemic model and its application in the evaluation of public health interventions on COVID-19 in Guangzhou [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 20-24.
[13] LI Xiujun, LI Xinlou, LIU Kun, ZHAO Xiaobo, MA Meng, SUN Bo. Application of geographic information system in the control of COVID-19 epidemic [J]. Journal of Shandong University (Health Sciences), 2020, 58(10): 13-19.
[14] LI Qi, SUN Yixin, LI Yixue, ZHANG Cuiqin, WU Rongshan, XUE Fuzhong. Spacial distribution of fertility rate in Shandong Province and its influencing factors [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2014, 52(12): 107-112.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Health Sciences)
Supported by Beijing Magtech Co.Ltd