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在COVID-19疫情之前及期间利用谷歌趋势对日本手足口病病例进行的解释:信息流行病学研究

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study.

作者信息

Niu Qian, Liu Junyu, Zhao Zixi, Onishi Miyu, Kawaguchi Asuka, Bandara Anuradhi, Harada Keiko, Aoyama Tomoki, Nagai-Tanima Momoko

机构信息

Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53, Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.

Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Kyoto, Japan.

出版信息

BMC Infect Dis. 2022 Oct 29;22(1):806. doi: 10.1186/s12879-022-07790-9.

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.

摘要

背景

2019冠状病毒病(COVID-19)大流行影响常见疾病,但其对手足口病(HFMD)的影响尚不清楚。谷歌趋势数据有利于近似实时统计,且由于易于获取,有望从信息搜索行为角度用于感染解释。我们旨在利用谷歌趋势解释COVID-19之前和期间的手足口病病例。

方法

手足口病病例数据来自国立传染病研究所,2009年至2021年日本的谷歌搜索数据从谷歌趋势下载。计算2009年至2021年手足口病病例与搜索主题“手足口病”之间的皮尔逊相关系数。检索包含“手足口病”的日语推文以选择搜索词进行进一步分析。保留计数大于1000且属于感染源、易感部位、易感人群、症状、治疗、预防措施和已识别疾病范围的搜索词。进行交叉相关分析以检测COVID-19大流行之前和期间手足口病病例与搜索词之间的滞后变化。使用带有向后消除处理的多元线性回归来确定用于解释手足口病的最重要术语。

结果

除2020年和2021年外,大多数年份手足口病病例和谷歌搜索量在7月左右达到峰值。搜索主题“手足口病”与手足口病病例呈现出强相关性,2020年COVID-19疫情爆发时除外。此外,73个(72.3%)搜索词的滞后差异为负,这可能表明在COVID-19大流行期间公众对手足口病感染的认识有所提高。多元线性回归结果表明,重要搜索词含义相同,但在COVID-19大流行期间扩展了信息搜索内容。

结论

COVID-19之前和期间解释手足口病病例的重要术语不同。在COVID-19大流行期间,日本对手足口病感染的认识可能有所提高。持续监测对于促进公共卫生和预防疫情复发很重要。信息搜索行为中反映的公众兴趣有助于公共卫生监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/464a/9617367/0c557277cbea/12879_2022_7790_Fig1_HTML.jpg

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