Published on 10.05.11 in Vol 13, No 2 (2011): Apr-Jun
Works citing "Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1722):
(note that this is only a small subset of citations)
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Kalichman SC, Kegler C. Vaccine-Related Internet Search Activity Predicts H1N1 and HPV Vaccine Coverage: Implications for Vaccine Acceptance. Journal of Health Communication 2015;20(3):259
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of Medical Internet Research 2017;19(9):e315
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Yom-Tov E, Gabrilovich E. Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries. Journal of Medical Internet Research 2013;15(6):e124
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Liang B, Scammon DL. Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception. Journal of Medical Internet Research 2013;15(6):e114
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Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189
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Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
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Seo D, Jo M, Sohn CH, Shin S, Lee J, Yu M, Kim WY, Lim KS, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289
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Hill S, Merchant R, Ungar L. Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 2013;1(3):160
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Vaughan Sarrazin MS, Cram P, Mazur A, Ward M, Reisinger HS. Patient Perspectives of Dabigatran: Analysis of Online Discussion Forums. The Patient - Patient-Centered Outcomes Research 2014;7(1):47
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Wong PW, Fu K, Yau RS, Ma HH, Law Y, Chang S, Yip PS. Accessing Suicide-Related Information on the Internet: A Retrospective Observational Study of Search Behavior. Journal of Medical Internet Research 2013;15(1):e3
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Troumbis AY, Hatziantoniou M, Vasios GK. Nutritional Culturomics and Big Data: Macroscopic Patterns of Change in Food, Nutrition and Diet Choices. Current Pharmaceutical Biotechnology 2019;20(10):895
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Sharma V, Holmes J, Sarkar I. Identifying Complementary and Alternative Medicine Usage Information from Internet Resources. Methods of Information in Medicine 2016;55(04):322
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Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K, Voracek M. The Use of Google Trends in Health Care Research: A Systematic Review. PLoS ONE 2014;9(10):e109583
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Alvarez-Galvez J, Suarez-Lledo V, Rojas-Garcia A. Determinants of Infodemics During Disease Outbreaks: A Systematic Review. Frontiers in Public Health 2021;9
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Kristensen K, Lorenz E, May J, Strauss R. Exploring the use of web searches for risk communication during COVID-19 in Germany. Scientific Reports 2021;11(1)
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Acharya B, Chowdhury B, Pattnaik G, Behera A, Behera S. Food Safety during Pregnancy: Current Consideration. International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN) 2023;16(1):6362
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Hu F, Qiu L, Xia W, Liu C, Xi X, Zhao S, Yu J, Wei S, Hu X, Su N, Hu T, Zhou H, Jin Z. Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China. Frontiers in Public Health 2022;10
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Widyasari V, Putra KT, Wang J. Community Curiosity on COVID-19 Based on Google Trends in Indonesia: An Infodemic Study. Journal of Consumer Health on the Internet 2022;26(1):48
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Yang L, Zhang T, Han X, Yang J, Sun Y, Ma L, Chen J, Li Y, Lai S, Li W, Feng L, Yang W. Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study. Journal of Medical Internet Research 2023;25:e45085
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1722):