このアイテムのアクセス数: 181

このアイテムのファイル:
ファイル 記述 サイズフォーマット 
s12879-022-07790-9.pdf1.05 MBAdobe PDF見る/開く
完全メタデータレコード
DCフィールド言語
dc.contributor.authorNiu, Qianen
dc.contributor.authorLiu, Junyuen
dc.contributor.authorZhao, Zixien
dc.contributor.authorOnishi, Miyuen
dc.contributor.authorKawaguchi, Asukaen
dc.contributor.authorBandara, Anuradhien
dc.contributor.authorHarada, Keikoen
dc.contributor.authorAoyama, Tomokien
dc.contributor.authorNagai-Tanima, Momokoen
dc.contributor.alternative牛, 茜ja
dc.contributor.alternative劉, 君宇ja
dc.contributor.alternative大西, 実由ja
dc.contributor.alternative川口, 明日香ja
dc.contributor.alternative原田, 圭子ja
dc.contributor.alternative青山, 朋樹ja
dc.contributor.alternative谷間, 桃子ja
dc.date.accessioned2023-05-23T01:52:16Z-
dc.date.available2023-05-23T01:52:16Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/2433/282754-
dc.description.abstract[Background] Coronavirus Disease 2019 (COVID-19) pandemic affects common diseases, but its impact on hand, foot, and mouth disease (HFMD) is unclear. Google Trends data is beneficial for approximate real-time statistics and because of ease in access, is expected to be used for infection explanation from an information-seeking behavior perspective. We aimed to explain HFMD cases before and during COVID-19 using Google Trends. [Methods] HFMD cases were obtained from the National Institute of Infectious Diseases, and Google search data from 2009 to 2021 in Japan were downloaded from Google Trends. Pearson correlation coefficients were calculated between HFMD cases and the search topic “HFMD” from 2009 to 2021. Japanese tweets containing “HFMD” were retrieved to select search terms for further analysis. Search terms with counts larger than 1000 and belonging to ranges of infection sources, susceptible sites, susceptible populations, symptoms, treatment, preventive measures, and identified diseases were retained. Cross-correlation analyses were conducted to detect lag changes between HFMD cases and search terms before and during the COVID-19 pandemic. Multiple linear regressions with backward elimination processing were used to identify the most significant terms for HFMD explanation. [Results] HFMD cases and Google search volume peaked around July in most years, excluding 2020 and 2021. The search topic “HFMD” presented strong correlations with HFMD cases, except in 2020 when the COVID-19 outbreak occurred. In addition, the differences in lags for 73 (72.3%) search terms were negative, which might indicate increasing public awareness of HFMD infections during the COVID-19 pandemic. The results of multiple linear regression demonstrated that significant search terms contained the same meanings but expanded informative search content during the COVID-19 pandemic. [Conclusions] The significant terms for the explanation of HFMD cases before and during COVID-19 were different. Awareness of HFMD infections in Japan may have improved during the COVID-19 pandemic. Continuous monitoring is important to promote public health and prevent resurgence. The public interest reflected in information-seeking behavior can be helpful for public health surveillance.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.publisherBMCen
dc.rights© The Author(s) 2022.en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectHFMDen
dc.subjectInfodemiologyen
dc.subjectGoogle Trendsen
dc.subjectInfectionen
dc.subjectExplanationen
dc.titleExplanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology studyen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleBMC Infectious Diseasesen
dc.identifier.volume22-
dc.relation.doi10.1186/s12879-022-07790-9-
dc.textversionpublisher-
dc.identifier.artnum806-
dc.identifier.pmid36309663-
dcterms.accessRightsopen access-
dc.identifier.eissn1471-2334-
出現コレクション:学術雑誌掲載論文等

アイテムの簡略レコードを表示する

Export to RefWorks


出力フォーマット 


このアイテムは次のライセンスが設定されています: クリエイティブ・コモンズ・ライセンス Creative Commons