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Methods: This study used multiple regression models to analyze the correlation between ILI incidents, GT keyword searches, and climate variables during influenza outbreaks. It compared the predictive capabilities of time-series and deep learning models against ILI emergency incidents. Results: The GT searches for \u201cfever\u201d and \u201ccough\u201d were significantly associated with ILI cases (p &lt; 0.05). Temperature had a more substantial impact on ILI incidence than humidity. Among the tested models, ARIMA provided the best predictive power. Conclusions: GT and climate data can forecast ILI trends, aiding governmental decision making. Temperature is a crucial predictor, and ARIMA models excel in forecasting ILI incidences.<\/jats:p>","DOI":"10.3390\/jcm13071946","type":"journal-article","created":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T12:41:57Z","timestamp":1711543317000},"page":"1946","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Infodemiology of Influenza-like Illness: Utilizing Google Trends\u2019 Big Data for Epidemic Surveillance"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1605-8488","authenticated-orcid":false,"given":"Dong-Her","family":"Shih","sequence":"first","affiliation":[{"name":"Department of Information Management, National Yunlin University of Science and Technology, Douliu 64002, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Huei","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Information Management, National Yunlin University of Science and Technology, Douliu 64002, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting-Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Information Management, National Yunlin University of Science and Technology, Douliu 64002, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu-Chi","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Information Management, National Yunlin University of Science and Technology, Douliu 64002, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming-Hung","family":"Shih","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Iowa State University, 2520 Osborn Drive, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"40841","DOI":"10.1038\/srep40841","article-title":"Temporal topic modeling to assess associations between news trends and infectious disease outbreaks","volume":"7","author":"Ghosh","year":"2017","journal-title":"Sci. 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