摘要
目的以2020—2022年新型冠状病毒肺炎(2022年底更名为“新型冠状病毒感染”)疫情为例,回顾性研究互联网大数据在新发传染病监测预警中的应用,为建立基于互联网大数据的新发传染病早期监测预警机制提供科学参考。方法基于互联网大数据,收集2020—2022年四川省新型冠状病毒肺炎(以下简称“新冠肺炎”)本土疫情网络舆情数据,通过百度指数(大众版)获取四川省内新冠肺炎的百度搜索指数,利用Excel 2013软件对数据进行描述性分析,计算构成比和比值。结果根据定制的预警主题,2020—2022年间四川省共接收新冠肺炎疫情预警信息50896条,主要分布在成都、南充、绵阳等6个地区。三年间共有9起新冠肺炎本土疫情,网络舆情系统均发出预警信息,其中7起预警时间早于传染病监测系统。监测到全网新冠肺炎相关舆情220295条,峰值在2020年3月,负面舆情占比逐年下降。舆情集中在微信、微博、网媒和APP,2022年微信舆情构成较2020年上升104.41%。关键词主要集中在“确诊病例”“肺炎”“无症状”“冠状病毒”等。新冠肺炎的百度搜索指数水平在2020年度最高,资讯指数在2022年最高。四川省和成都市搜索指数均分别位于全国同级地区前十位。结论互联网大数据监测在新冠肺炎本土疫情期间发挥了早期监测预警作用,舆情信息特征多角度反映社会对疾病的关注重点,本研究认为互联网大数据可以作为传统传染病监测预警的重要补充渠道之一。
Objective Taking the outbreak of novel coronavirus pneumonia(renamed“corona virus disease 2019(COVID-19)”at the end of 2022)from 2020 to 2022 as an example,to retrospectively study the application of Internet big data in the monitoring and early warning of emerging infectious diseases,and to provide scientific reference for the establishment of an early monitoring and early warning mechanism for emerging infectious diseases based on Internet big data.Methods Based on internet big data,public opinion data of novel coronavirus pneumonia(hereinafter referred to as“COVID-19”)in Sichuan Province from 2020 to 2022 were obtained,and Baidu Index(public edition)was used to obtain Baidu search index of COVID-19 in Sichuan Province.By using Excel 2013,the data were descriptively analyzed,and composition and ratio were calculated.Results According to the customized warning theme,Sichuan Province received 50896 early warning messages on COVID-19 from 2020 to 2022,mainly in six regions including Chengdu City,Nanchong City and Mianyang City.In the past three years,there had been nine local outbreaks of COVID-19,and the online public opinion system had issued early warning information,seven of which were earlier than the infectious disease surveillance system.A total of 220295 public opinions related to COVID-19 were monitored across the network,with the peak in March 2020,and the proportion of negative public opinions decreased year by year.Public opinion was concentrated in Wechat,Weibo,online media and APP,and the composition of Wechat public opinion in 2022 increased by 104.41%compared with 2020.The key words were mainly“confirmed cases”,“pneumonia”,“asymptomatic”and“coronavirus”.The level of Baidu search index for COVID-19 was the highest in 2020,and the information index was the highest in 2022.The search index of Sichuan Province and Chengdu City were in the top ten of the same level regions in China respectively.Conclusions Internet big data monitoring had played an early monitoring and early warn
作者
马莉珍
刘毅纯
杨春梅
吕强
刘润友
MA Lizhen;LIU Yichun;YANG Chunmei;LYU Qiang;LIU Runyou(Sichuan Center for Disease Control and Prevention,Chengdu 610041,Sichuan Province,China)
出处
《预防医学情报杂志》
CAS
2024年第8期982-987,共6页
Journal of Preventive Medicine Information
基金
四川省2023年第一批科技计划项目(项目编号:2023JDR0256)。
关键词
新发传染病
大数据监测
监测预警
新型冠状病毒感染
emerging infectious diseases
big data monitoring
monitoring and early warning
COVID-19
