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ID 63839
フルテキストURL
fulltext.pdf 1.11 MB
著者
Uda, Kazuhiro Department of Pediatrics, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
Hagiya, Hideharu Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science ORCID Kaken ID researchmap
Yorifuji, Takashi Department of Epidemiology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University ORCID Kaken ID publons researchmap
Koyama, Toshihiro Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University ORCID Kaken ID publons researchmap
Tsuge, Mitsuru Department of Pediatrics Acute Diseases, Okayama University Academic Field of Medicine, Dentistry, and Pharmaceutical ORCID Kaken ID researchmap
Yashiro, Masato Department of Pediatrics, Okayama University Hospital Kaken ID
Tsukahara, Hirokazu Department of Pediatrics, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Kaken ID publons researchmap
抄録
Background The respiratory syncytial virus (RSV) disease burden is significant, especially in infants and children with an underlying disease. Prophylaxis with palivizumab is recommended for these high-risk groups. Early recognition of a RSV epidemic is important for timely administration of palivizumab. We herein aimed to assess the correlation between national surveillance and Google Trends data pertaining to RSV infections in Japan. Methods The present, retrospective survey was performed between January 1, 2018 and November 14, 2021 and evaluated the correlation between national surveillance data and Google Trends data. Joinpoint regression was used to identify the points at which changes in trends occurred. Results A strong correlation was observed every study year (2018 [r = 0.87, p < 0.01], 2019 [r = 0.83, p < 0.01], 2020 [r = 0.83, p < 0.01], and 2021 [r = 0.96, p < 0.01]). The change-points in the Google Trends data indicating the start of the RSV epidemic were observed earlier than by sentinel surveillance in 2018 and 2021 and simultaneously with sentinel surveillance in 2019. No epidemic surge was observed in either the Google Trends or the surveillance data from 2020. Conclusions Our data suggested that Google Trends has the potential to enable the early identification of RSV epidemics. In countries without a national surveillance system, Google Trends may serve as an alternative early warning system.
キーワード
RSV
Surveillance
Google Trends
Epidemiology
発行日
2022-08-09
出版物タイトル
BMC Public Health
22巻
1号
出版者
BMC
開始ページ
1517
ISSN
1471-2458
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© The Author(s) 2022.
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1186/s12889-022-13899-y
ライセンス
http://creativecommons.org/licenses/by/4.0/.