Application research on local epidemic surveillance and early warning of novel coronavirus pneumoniain Sichuan Province based on internet big data
Objective Taking the outbreak of novel coronavirus pneumonia(renamed"corona virus disease 2019(CO VID-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 50 896 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 CO VID-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 220 295 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 warning role during the local epidemic of COVID-19,and the characteristics of public opinion information reflect the focus of the society on the disease from multiple angles.This study suggests that internet big data could be used as one of the important supplementary channels for traditional infectious disease monitoring and early warning.
emerging infectious diseasesbig data monitoringmonitoring and early warningCOVID-19
万方数据
维普
