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利用谷歌趋势监测冠状病毒疫苗关注度和犹豫度。

Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies.

机构信息

Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Division of Infectious Diseases, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.

出版信息

Vaccine. 2022 Jun 26;40(30):4057-4063. doi: 10.1016/j.vaccine.2022.05.070. Epub 2022 May 30.

DOI:10.1016/j.vaccine.2022.05.070
PMID:35660035
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9149202/
Abstract

INTRODUCTION

Vaccine hesitancy remains a serious challenge for ending the coronavirus disease 2019 (COVID-19) pandemic. Digital media has played an immense role in the spread of information during the pandemic. One method to gauge public interest in COVID-19 related information is to examine patterns of online search queries.

METHODS

Google Trends (GT) was used to analyze results for search terms relating to COVID-19 vaccine misinformation, information, and accessibility from October 1st, 2020 to May 27th, 2021. GT allows you to compare multiple queries at one time. The resultant relative search volumes (RSVs)range from 0 to 100. The search term andpoint in time on the graph that has the greatest search volume is given a score of 100 and all other terms and times are given values relative to that maximum. Search interest peaks were analyzed by subgroups (misinformation, information seeking, and access seeking) and across key time points throughout the pandemic.

RESULTS

GT analysis revealed that search interest related to vaccine misinformation, general information, and access seeking changed in relation to events taking place throughout the pandemic. The most commonly searched terms in each subgroup were: "Covid vaccine infertility", "Covid vaccine side effects", and "Covid vaccine appointment". Searches related to misinformation peaked in December 2020. Search terms in the general information category peaked in April 2021. RSVs for access seeking terms peaked in March 2021 and have decreased since April 2021.

CONCLUSION

Misinformation RSVs were highest after FDA authorization and have multiple repeated spikes after subsequent vaccine announcements. General information seeking terms peaked concurrently with increased vaccination uptake in the United States. Search interest has decreased with wider vaccine availability, despite many individuals in the United States remaining unvaccinated. GT can be used to monitor trends in public attitudes and misinformation regarding COVID-19 vaccines and further target education.

摘要

引言

疫苗犹豫仍然是结束 2019 年冠状病毒病(COVID-19)大流行的严重挑战。数字媒体在大流行期间的信息传播中发挥了巨大作用。衡量公众对 COVID-19 相关信息兴趣的一种方法是检查在线搜索查询模式。

方法

使用 Google Trends(GT)分析与 COVID-19 疫苗错误信息、信息和可及性相关的搜索词的结果,从 2020 年 10 月 1 日至 2021 年 5 月 27 日。GT 允许您同时比较多个查询。所得相对搜索量(RSV)范围从 0 到 100。图形中具有最大搜索量的搜索词和时间点得分为 100,所有其他词和时间点的得分均相对于该最大值。按子组(错误信息、信息搜索和获取搜索)和整个大流行期间的关键时间点分析搜索兴趣峰值。

结果

GT 分析显示,与疫苗错误信息、一般信息和获取搜索相关的搜索兴趣与大流行期间发生的事件有关而发生变化。每个子组中搜索最多的词是:“Covid 疫苗不孕”、“Covid 疫苗副作用”和“Covid 疫苗预约”。与错误信息相关的搜索在 2020 年 12 月达到顶峰。一般信息类搜索词在 2021 年 4 月达到峰值。获取搜索词的 RSV 在 2021 年 3 月达到峰值,自 2021 年 4 月以来呈下降趋势。

结论

FDA 授权后,错误信息 RSV 最高,随后疫苗发布后出现多次重复峰值。一般信息搜索词在美国疫苗接种率增加的同时达到峰值。尽管美国仍有许多人未接种疫苗,但随着疫苗供应的增加,搜索兴趣已下降。GT 可用于监测公众对 COVID-19 疫苗的态度和错误信息趋势,并进一步针对教育目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/079bf747ef29/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/501e0f8533bf/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/239f3f5d84e9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/4a27f1e84e29/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/079bf747ef29/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/501e0f8533bf/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/239f3f5d84e9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/4a27f1e84e29/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96aa/9149202/079bf747ef29/gr4_lrg.jpg

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