PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2018.24.4.3002018244300Google Search Trends Predicting Disease Outbreaks: An Analysis from IndiaMadhur Verma, Kamal Kishore, Mukesh Kumar, Aparajita Ravi Sondh, Gaurav Aggarwal, Soundappan Kathirvelhttps://synapse.koreamed.org/pdf/10.4258/hir.2018.24.4.300, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2018.24.4.300, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2018.24.4.300
Healthcare Informatics Research10.4258/hir.2020.26.3.1752020263175-184Prediction of COVID-19 Outbreaks Using Google Trends in India: A Retrospective AnalysisU Venkatesh, Periyasamy Aravind Gandhihttp://e-hir.org/upload/pdf/hir-2020-26-3-175.pdf, http://e-hir.org/journal/view.php?doi=10.4258/hir.2020.26.3.175, http://e-hir.org/upload/pdf/hir-2020-26-3-175.pdf
Economic Record10.1111/j.1475-4932.2012.00809.x2012882-9Predicting the Present with Google TrendsHYUNYOUNG CHOI, HAL VARIANhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1475-4932.2012.00809.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1475-4932.2012.00809.x/fullpdf
Journal of the Association for Information Science and Technology10.1002/asi.23201201466113-22Data mining from web search queries: A comparison of google trends and baidu indexLiwen Vaughan, Yue Chenhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fasi.23201, https://onlinelibrary.wiley.com/doi/full/10.1002/asi.23201
International Review of Financial Analysis10.1016/j.irfa.2022.1023042022102304Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherenceJan Jakub Szczygielski, Ailie Charteris, Lidia Obojskahttps://api.elsevier.com/content/article/PII:S1057521922002587?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1057521922002587?httpAccept=text/plain
Mathematics10.3390/math711103220197111032Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends Maneejuk, Yamakahttps://www.mdpi.com/2227-7390/7/11/1032/pdf
Public Health10.1016/j.puhe.2018.09.00120181659-15Monitoring public interest toward pertussis outbreaks: an extensive Google Trends–based analysisV. Gianfredi, N.L. Bragazzi, M. Mahamid, B. Bisharat, N. Mahroum, H. Amital, M. Adawihttps://api.elsevier.com/content/article/PII:S0033350618302828?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0033350618302828?httpAccept=text/plain
International Journal of Infectious Diseases10.1016/j.ijid.2021.12.0842022116S35Public Search Interests Related to COVID-19: Insights from Google Search Trends in BangladeshM. Ahamad, M. Ahmed, D. Udenhttps://api.elsevier.com/content/article/PII:S1201971221009760?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1201971221009760?httpAccept=text/plain
10.21203/rs.3.rs-1398923/v12022Infodemiology of autoimmune encephalitis: An analysis of online search behavior using Google TrendsKatrina Torres Roberto, Roland Dominic G. Jamora, Kevin Michael C. Moalong, Adrian I. Espirituhttps://www.researchsquare.com/article/rs-1398923/v1, https://www.researchsquare.com/article/rs-1398923/v1.html
Healthcare10.3390/healthcare1009167620221091676Seasonal Variation for Plantar Fasciitis: Evidence from Google Trends Search Query DataSeok-Min Hwang, Seok Kim, Suk-Hyun Hwanghttps://www.mdpi.com/2227-9032/10/9/1676/pdf