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“非典(SARS)”应激反应模式及其特征
引用本文:董晨, 申琦, 郭颖, 邱艺, 潘浩, 夏雯, 孙晓冬. 新冠肺炎疫情期间上海市公众疫情相关信息需求情况分析[J]. 中国公共卫生, 2022, 38(6): 800-803. DOI: 10.11847/zgggws1136522
作者姓名:董晨  申琦  郭颖  邱艺  潘浩  夏雯  孙晓冬
作者单位:1.上海市疾病预防控制中心办公室 上海市预防医学研究院办公室,上海 200336;2.南京大学新闻传播学院;3.华东师范大学传播学院;4.上海市疾病预防控制中心传染病防治所
基金项目:上海市科技创新行动计划科普专项(20DZ2312100);上海市科学技术委员会专项课题(20JC1410200)
摘    要:
  目的  分析上海市公众在新型冠状病毒肺炎(新冠肺炎)疫情期间的疫情相关信息需求,为今后重大传染病疫情期间的健康教育和信息发布提供参考依据。  方法  收集“上海疾控”微信公众号和平安AskBob健康管家公众号2020年1月28日 — 2021年5月31日的用户提问并进行清洗,运用通用分词库进行分词分析,在获得关键词频数统计数据后分析关键词的热度。  结果  对清洗后上海市公众的42541条提问数据进行词频分析,共获得11780个分词,剔除地名和无意义的动词后,居于提及频次前20位的关键词可分为新冠疫苗、防控政策、个人防护措施和感染症状四类。上海市公众在新冠肺炎疫情暴发期(2020年1月28日 — 2月20日)对个人防护措施类问题最为关注,其中“口罩”被提及次数最多,为2889次(21.22 %);在新冠肺炎疫情消退期(2020年2月21日 — 4月28日)对防控政策类问题最为关注,其中“隔离”被提及次数最多,为1278次(23.85 %);在新冠肺炎常态化疫情防控期(2020年4月29日 — 2021年5月31日)对新冠疫苗类问题最为关注,其中“新冠疫苗/疫苗”被提及次数最多,为9384次(39.82 %)。  结论  上海市公众在新冠肺炎疫情期间普遍关注与己相关的信息,政府部门应从公众角度考虑,提供更直观、更可操作的信息以提升其对相关信息的理解能力和执行能力。

关 键 词:疫情  新型冠状病毒肺炎(新冠肺炎)  信息需求  公众
收稿时间:2021-08-12

Anticipated and current preventive behaviors in response to an anticipated human-to-human H5N1 epidemic in the Hong Kong Chinese general population
DONG Chen, SHEN Qi, GUO Ying, . Needs for information on COVID-19 prevention and control among the public in Shanghai during epidemic period – an analysis on network queries[J]. Chinese Journal of Public Health, 2022, 38(6): 800-803. DOI: 10.11847/zgggws1136522
Authors:DONG Chen  SHEN Qi  GUO Ying
Affiliation:1.Office of Shanghai Municipal Center for Disease Control and Prevention, Office of Shanghai Institutes of Preventive Medicine, Shanghai 200336, China
Abstract:
  Objective  To examine the needs for information relevant to prevention and control of coronavirus disease 2019 (COVID-19) among the public during epidemic period and to provide references for health education and information dissemination in major infectious disease epidemic.   Methods  All network user′s queries from January 28, 2020 through May 31, 2021 were extracted from two WeChat accounts (an official account of Shanghai Municipal Center for Disease Control and Prevention and the Ping′an AskBob account sponsored by an intelligent medication company). After data cleaning, word segmentation analysis was performed with general word segmentation database. Keyword popularity was assessed based on keyword frequency.   Results  After excluding place names and irrelevant verbs, totally 11 780 words were obtained with segmentation analysis on 42 541 cleaned queries. The top 20 most mentioned keywords were classified into 4 groups about COVID-19 vaccine, prevention and control policy, personal protective measures and infection symptoms. During the epidemic outbreak period (January 28 – February 20, 2020), the most of the queries were about issues related to self-protection, with the highest frequently involved word
Keywords:epidemic  COVID-19  information need  the public
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