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新型冠状病毒肺炎的流行及公众关注度研究 被引量:2

Prevalence and public attention of coronavirus disease 2019
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摘要 目的通过对北京市2020年6月11日—7月20日新型冠状病毒肺炎(简称新冠肺炎)疫情流行情况及网络关注点进行分析,为疫情防控提供参考。方法利用北京市卫生健康委员会官方网站新冠肺炎疫情通报和互联网搜索引擎,回顾性搜集整理疫情数据和网络搜索指数数据,并采用描述性统计和Spearman秩相关分析方法进行数据分析。结果6月11日—7月20日北京市新冠肺炎累计确诊335例,累计发病率为1.56/10万;累计确诊病例主要集中在丰台区(230例,占68.66%)。网络搜索指数研究显示,"北京疫情最新情况"和"新发地"搜索指数均与疫情数据存在相关关系(r=0.711,P<0.05;r=0.861,P<0.05);"北京疫情"搜索指数最高,并与日新增确诊病例数呈高度正相关(r=0.919,P<0.05)。结论北京市新型冠状病毒肺炎疫情已取得阶段性成效。网络搜索指数与疫情发展高度相关,应加强网络搜索指数在疫情防控中的应用。 Objective To analyze the epidemic situation and network concerns of coronavirus disease 2019 in Beijing from June 11 to July 20,2020,and to provide references for the epidemic prevention and control.Methods Using the notification of coronavirus disease 2019(COVID-19)issued by the official website of Beijing Municipal Health Commission and Internet search engine,the epidemic data and Internet search index data were retrospectively collected and organized,and then data analysis was conducted using descriptive statistics and Spearman rank correlation analysis method.Results From June 11 to July 20,335 confirmed COVID-19 cases were reported accumulatively in Beijing,with a cumulative incidence rate of 1.56/100,000.The cumulative confirmed cases were mainly concentrated in Fengtai District(230 cases,accounting for 68.66%).Research on the Internet search index showed that the search indexes of Beijing Epidemic Update and Xinfadi were both correlated with the epidemic data(r=0.711,P<0.05;r=0.861,P<0.05).The search index of Beijing Epidemic was the highest;moreover,it was highly positively correlated with the daily number of new confirmed cases(r=0.919,P<0.05).Conclusion The epidemic situation of COVID-19 in Beijing has achieved phased results.Network search index is highly related to development of the epidemic situation;and hence,it is necessary to strengthen the application of network search index to epidemic prevention and control.
作者 周璐璐 李武德 符昌艳 闻杰 黄丽莉 张天成 ZHOU Lu-lu;LI Wu-de;FU Chang-yan;WEN Jie;HUANG Li-li;ZHANG Tian-cheng(School of Public Health,University of South China,Hengyang,Hunan 421001,China)
出处 《实用预防医学》 CAS 2021年第7期807-810,共4页 Practical Preventive Medicine
基金 湖南省科技厅创新型省份建设专项(2020ZK4057) 南华大学新冠肺炎疫情防控科研攻关应急专项(200XZX003)。
关键词 新型冠状病毒肺炎 北京 疫情 搜索指数 coronavirus disease 2019 Beijing epidemic situation search index
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