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关于印度尼西亚、马来西亚和新加坡政府对新冠疫情新病例防控政策的公众搜索兴趣分析。

Analysis of public search interest regarding government containment policy on COVID-19 new cases in Indonesia, Malaysia and Singapore.

作者信息

Rizqullah Muhammad Farid, Syakurah Rizma Adlia

机构信息

Medical Faculty, Sriwijaya University, Indonesia.

Public Health Faculty, Sriwijaya University, Indonesia.

出版信息

Health Promot Perspect. 2021 Aug 18;11(3):360-368. doi: 10.34172/hpp.2021.46. eCollection 2021.

DOI:10.34172/hpp.2021.46
PMID:34660232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8501482/
Abstract

As preventive measures to curb coronavirus disease 2019 (COVID-19)transmission, Indonesia, Malaysia and Singapore had imposed web-accessible regulations where the popularity of relative internet search volume can be obtained from Google Trends(GT). This research aimed to seek the relationship between public search interest and countries policies, furthermore to observe whether the GT data could be utilized as a tool to make a risk communication during this pandemic. This retrospective study used GT to analyze the relative search volume (RSV) of keywords large-scale social restrictions (Pembatasan Sosial Berskala Besar - PSBB ), MovementControl Order (MCO) or Perintah Kawalan Pergerakan (PKP) and Circuit Breaker (CB) for Indonesia, Malaysia and Singapore respectively. Daily number of COVID-19 confirmed cases were collected and analyzed using Pearson correlation and time-lag with P<0.05. Every search interest peak and mobility trends changes were qualitatively analyzed. The results exhibited the relationship between the government containment policy, the peaks of analyzed RSV keywords and the mobility trends. The containment policy has significant relationships with COVID-19 daily cases (P<0.05). These results indicated that the government could use GT RSV as a strategy of crisis and risk communication to intervene public behavior towards the pandemic.

摘要

作为遏制2019冠状病毒病(COVID-19)传播的预防措施,印度尼西亚、马来西亚和新加坡实施了可通过网络获取的规定,通过谷歌趋势(GT)可以获取相关互联网搜索量的热度。本研究旨在探寻公众搜索兴趣与各国政策之间的关系,进而观察GT数据是否可作为此次疫情期间进行风险沟通的工具。这项回顾性研究利用GT分别分析了印度尼西亚、马来西亚和新加坡关于大规模社会限制(Pembatasan Sosial Berskala Besar - PSBB)、行动管制令(MCO)或Perintah Kawalan Pergerakan(PKP)以及断路器(CB)等关键词的相对搜索量(RSV)。收集了COVID-19确诊病例的每日数量,并使用Pearson相关性分析和时间滞后分析,P<0.05。对每次搜索兴趣高峰和流动性趋势变化进行了定性分析。结果显示了政府遏制政策、所分析的RSV关键词峰值与流动性趋势之间的关系。遏制政策与COVID-19每日病例数有显著关系(P<0.05)。这些结果表明,政府可以将GT RSV作为危机和风险沟通的策略,以干预公众对疫情的行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fbe/8501482/3ef7f7147d4d/hpp-11-360-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fbe/8501482/41f172613ab4/hpp-11-360-g002.jpg
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