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| CrossRef Text and Data Mining |
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| Google Search Trends Predicting Disease Outbreaks: An Analysis from India |
| Madhur Verma, Kamal Kishore, Mukesh Kumar, Aparajita Ravi Sondh, Gaurav Aggarwal, Soundappan Kathirvel |
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Healthc Inform Res. 2018;24(4):300-308. Published online October 31, 2018 DOI: https://doi.org/10.4258/hir.2018.24.4.300 |
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Google Search Trends Predicting Disease Outbreaks: An Analysis from India Healthcare Informatics Research. 2018;24(4):300  Predicting the Present with Google Trends Economic Record. 2012;88:2-9 Data mining from web search queries: A comparison of google trends and baidu index Journal of the Association for Information Science and Technology. 2014;66(1):13-22 Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends Mathematics. 2019;7(11):1032 Monitoring public interest toward pertussis outbreaks: an extensive Google Trends–based analysis Public Health. 2018;165:9-15 The Study of Google Search Trends for an Effective Communication during COVID-19 Pandemic . 2020; The Study of Google Search Trends for an Effective Communication during COVID-19 Pandemic . 2020; Google Maps and Google Local Search Google It. 2016;237-252 What does dengue disease surveillance contribute to predicting and detecting outbreaks and describing trends? Tropical Medicine & International Health. 2008;13(8):1022-1041 Commentary on: Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Google Trends Aesthetic Surgery Journal. 2020; |
