陆殷昊, 王进, 张放, 陶芳芳, 黄晓燕. 202216月上海市新型冠状病毒感染疫情网络媒体信息监测分析[J]. 上海预防医学, 2023, 35(7): 644-649. DOI: 10.19428/j.cnki.sjpm.2023.22469
引用本文: 陆殷昊, 王进, 张放, 陶芳芳, 黄晓燕. 202216月上海市新型冠状病毒感染疫情网络媒体信息监测分析[J]. 上海预防医学, 2023, 35(7): 644-649. DOI: 10.19428/j.cnki.sjpm.2023.22469
LU Yinhao, WANG Jin, ZHANG Fang, TAO Fangfang, HUANG Xiaoyan. Analysis of media information monitoring results of COVID-19 in Shanghai in 2022 based on an internet surveillance system[J]. Shanghai Journal of Preventive Medicine, 2023, 35(7): 644-649. DOI: 10.19428/j.cnki.sjpm.2023.22469
Citation: LU Yinhao, WANG Jin, ZHANG Fang, TAO Fangfang, HUANG Xiaoyan. Analysis of media information monitoring results of COVID-19 in Shanghai in 2022 based on an internet surveillance system[J]. Shanghai Journal of Preventive Medicine, 2023, 35(7): 644-649. DOI: 10.19428/j.cnki.sjpm.2023.22469

202216月上海市新型冠状病毒感染疫情网络媒体信息监测分析

Analysis of media information monitoring results of COVID-19 in Shanghai in 2022 based on an internet surveillance system

  • 摘要:
    目的 了解2022年上海市本土新型冠状病毒感染疫情(简称“新冠疫情”)的网络媒体信息情况,为卫生健康部门应对突发公共卫生事件和建立完善公共卫生媒体信息监测系统提供依据。
    方法 收集2022年1月1日至6月30日媒体信息监测系统中的网络媒体信息数据和上海市本土新冠疫情数据并进行分析。
    结果 全网媒体监测总信息量共9 019.73万条,按信息来源前4位分别为微博(36.84%)、小视频(26.19%)、网媒(14.47%)、论坛(13.31%)。网络媒体监测每日信息量与每日新增报告病例数变化趋势一致,并存在相关性(r=0.770,7 d移动平均后,r=0.796)。上海、加油、核酸、新增、本土、无症状、防控、感谢、隔离、防疫、物资、抗疫、患者、求助、清零等是该疫情时期的高频关键词。微博信息中,除该市网民(782.31万条)高度关注外,北京市(274.91万条)、广东省(235.23万条)、江苏省(218.91万条)、浙江省(153.21万条)发布的上海市疫情相关信息相对较高。
    结论 重大传染病疫情的出现会引发网络热度,微博、小视频等新媒体是当前网络媒体信息的重要平台。在疫情防控中加强媒体信息监测和分析,密切关注热点事件,及时采取应对措施,积极引导沟通,有助于突发公共卫生事件的应对处置。

     

    Abstract:
    Objective To understand the internet media information of COVID-19 in Shanghai in 2022, to provide evidence for health administration departments to respond to public health emergencies, and to establish a comprehensive public health media surveillance system.
    Methods Data on internet media information and the local COVID-19 epidemic data in Shanghai from January 1 to June 30, 2022 were collected and analyzed.
    Results A total of 90.197 3 million pieces of internet media information were monitored. The top four sources of the information were Weibo (36.84%), short videos (26.19%), internet media (14.47%), and forums (13.31%). The variation trend of daily internet media surveillance information was identified with the number of newly reported cases per day, and a correlation was found (r=0.770. After the seven-day moving average,r=0.796). Frequent keywords included Shanghai, cheer up, nucleic acid, new cases, local, asymptomatic, prevention and control, gratitude, isolation, epidemic prevention, supplies, pandemic response, patient, seeking help, and clearing the cases. Within the information on Weibo, in addition to netizens in Shanghai (7 823 100) who were highly concerned about the pandemic, netizens from Beijing (2 749 100), Guangdong Province (2 352 300), Jiangsu Province (2 189 100) and Zhejiang Province (1 532 100) also posted a relatively high amount of information related to COVID-19 in Shanghai.
    Conclusion The outbreak of major infectious diseases triggers significant online activity, and platforms such as Weibo and short video platforms play crucial roles in disseminating internet media information. Weibo, short videos etc. are important platforms for current internet media information. Strengthening media information monitoring and analysis, paying close attention to hot events, taking timely response measures and actively engaging in risk communication contribute to the response and management of public health emergencies.

     

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