痛風に対する公衆の関心における季節的変動:Google Trends (2014年−2024年) を用いた長期的感染症学研究
Naomi Schlesinger1, Ioannis P Androulakis2
1Division of Rheumatology, Department of Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, United States.
Journal of medical Internet research
|August 27, 2025
まとめ
痛風のオンライン検索は 季節的なパターンを明らかにし 爆発的な活動を反映しています このインフォデミオロギーアプローチは公衆衛生の洞察のための伝統的な方法を補完します.
科学分野:
- 流行病学について
- インフォデミオロジー
- デジタル・ヘルス
背景:
- 痛風は世界で最も一般的な炎症性関節炎で 季節的な発作が起こります
- 伝統的な流行病学的方法は洞察力を提供しますが,リアルタイムでの解決には欠けています.
- オンライン検索の行動は 病気の活動傾向を把握するための 拡張可能でタイムリーな補足を提供します
研究 の 目的:
- グーグル検索で 痛風の季節的変化を調査する
- 国,州,都市圏の違いを分析する.
- 症状と言語特有の検索条件の影響を評価し,バイモダルのパターンを探求する.
主な方法:
- 2014年から2024年までのグーグル・トレンドのデータを活用し,70の国,州,都市でガウトに関するクエリを行いました.
- 14ヶ国語に翻訳された一般的,症状特有のクエリが含まれています.
- 季節性評価のためのコシノアモデリングを適用し,統計的修正 (FDR,Bonferroni) によるバイモダルパターンの12ヶ月と6ヶ月間のハーモニックを比較した.
主要な成果:
- 多様な地理的・言語的なカテゴリーで 痛風に関連する検索の関心が 大きく季節的に変化していることがわかりました
- ピークは一般的に春の終わり/夏の初め (北半球) に発生し,南半球では季節的に変化した.
- 複合的な周期的な関心を示す"肥満"や"足の大きな指"のような特定の用語で バイモダルのパターンが特定されました
結論:
- グーグルの検索活動は 痛風の季節性を反映し 人口規模の監視ツールとして インフォデミオロギーを検証しています
- このアプローチは 介護のニーズを予測し 季節的な状況に対応する デジタル・ヘルス戦略を導くことができます
- 地理的,気候的,言語的な文脈は,これらのデジタルトレンドデータを解釈する上で極めて重要です.
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