AJGH Volume 14 Issue 1

Page 85

June 2020 Issue 1 Volume 14

Media, and News Report Data. PLoS Negl Trop Dis. 2017 Jan 13;11(1):e0005295. doi:10.1371/journal.pntd.0005295 19. Samaras L, García-Barriocanal E, Sicilia MA. Syndromic Surveillance Models Using Web Data: The Case of Influenza in Greece and Italy Using Google Trends. JMIR Public Health Surveill. 2017 Nov 20;3(4):e90. doi:10.2196/publichealth.8015 20. Young SD, Torrone EA, Urata J, Aral SO. Using Search Engine Data as a Tool to Predict Syphilis. Epidemiology. 2018 Jul;29(4):574-578. doi:10.1097/EDE.0000000000000836 21. Young SD, Zhang Q. Using search engine big data for predicting new HIV diagnoses. PLoS One. 2018 Jul 12;13(7):e0199527. doi:10.1371/journal.pone.0199527 22. Oren E, Frere J, Yom-Tov E, Yom-Tov E. Respiratory syncytial virus tracking using internet search engine data. BMC Public Health. 2018 Apr 3;18(1):445. doi:10.1186/ s12889-018-5367-z 23. Arehart CH, David MZ, Dukic V. Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State. Sci Rep. 2019 Dec 24;9(1):19801. doi:10.1038/s41598-019-56385-z 24. Malik MT, Gumel A, Thompson LH, Strome T, Mahmud SM. “Google flu trends” and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba. Can J Public Health. 2011 Jul-Aug;102(4):294-7.doi: 10.1007/bf03404053 25. Olson DR, Konty KJ, Paladini M, Viboud C, Simonsen L. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. PLoS Comput Biol. 2013;9(10):e1003256. doi:10.1371/journal.pcbi.1003256 26. Cook S, Conrad C, Fowlkes AL, Mohebbi MH. Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS One. 2011;6(8):e23610. doi:10.1371/journal.pone.0023610 27. Dugas AF, Hsieh YH, Levin SR, Pines JM, Mareiniss DP, Mohareb A, et al. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. Clin Infect Dis. 2012;54(4):463‐469. doi:10.1093/cid/cir883 28. Gluskin RT, Johansson MA, Santillana M, Brownstein JS. Evaluation of Internet-based dengue query data: Google Dengue Trends. PLoS Negl Trop Dis. 2014 Feb 27;8(2):e2713. doi:10.1371/journal.pntd.0002713 29. Ho HT, Carvajal TM, Bautista JR, Capistrano JDR, Viacrusis KM, Hernandez LFT, et al. Using Google Trends to Examine the Spatio-Temporal Incidence and Behavioral Patterns of Dengue Disease: A Case Study in Metropolitan Manila, Philippines. Trop Med Infect Dis. 2018 Nov 11;3(4):118. doi:10.3390/tropicalmed3040118 30. Strauss RA, Castro JS, Reintjes R, Torres JR. Google dengue trends: An indicator of epidemic behaviour. The Venezuelan Case. Int J Med Inform. 2017 Aug;104:26-30. doi:10.1016/j.ijmedinf.2017.05.003 31. Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, et al. The use of google trends in health care research: a systematic review. PLoS One. 2014 Oct 22;9(10):e109583. doi:10.1371/journal.pone.0109583 32. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health Surveill. 2019 May 29;5(2):e13439. doi:10.2196/13439

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