Published on 12.11.13 in Vol 15, No 11 (2013): November
Works citing "Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2936):
(note that this is only a small subset of citations)
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Chiu APY, Lin Q, He D, Ghezzi P. News trends and web search query of HIV/AIDS in Hong Kong. PLOS ONE 2017;12(9):e0185004
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Lee D, Lee H, Choi M. Examining the Relationship Between Past Orientation and US Suicide Rates: An Analysis Using Big Data-Driven Google Search Queries. Journal of Medical Internet Research 2016;18(2):e35
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Tana JC, Kettunen J, Eirola E, Paakkonen H. Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data. JMIR Mental Health 2018;5(2):e43
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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Cruvinel T, Ayala Aguirre PE, Lotto M, Marchini Oliveira T, Rios D, Pereira Cruvinel AF. Digital behavior surveillance: Monitoring dental caries and toothache interests of Google users from developing countries. Oral Diseases 2019;25(1):339
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Generous N, Fairchild G, Deshpande A, Del Valle SY, Priedhorsky R, Salathé M. Global Disease Monitoring and Forecasting with Wikipedia. PLoS Computational Biology 2014;10(11):e1003892
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Domnich A, Arbuzova EK, Signori A, Amicizia D, Panatto D, Gasparini R. Demand-based web surveillance of sexually transmitted infections in Russia. International Journal of Public Health 2014;59(5):841
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Menachemi N, Rahurkar S, Rahurkar M. Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting. JMIR Public Health and Surveillance 2017;3(1):e12
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Wang H, Chen D. Economic Recession and Obesity-Related Internet Search Behavior in Taiwan: Analysis of Google Trends Data. JMIR Public Health and Surveillance 2018;4(2):e37
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Wang H, Chen D, Yu H, Chen Y. Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan. Journal of Medical Internet Research 2015;17(11):e264
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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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Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
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Zheluk A, Quinn C, Meylakhs P. Internet Search and Krokodil in the Russian Federation: An Infoveillance Study. Journal of Medical Internet Research 2014;16(9):e212
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Kim D, Maxwell S, Le Q. Spatial and Temporal Comparison of Perceived Risks and Confirmed Cases of Lyme Disease: An Exploratory Study of Google Trends. Frontiers in Public Health 2020;8
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Aguirre PE, Coelho M, Oliveira T, Rios D, Cruvinel AF, Cruvinel T. What Can Google Inform Us about People's Interests regarding Dental Caries in Different Populations?. Caries Research 2018;52(3):177
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Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph TE, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656
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Samadbeik M, Garavand A, Aslani N, Ebrahimzadeh F, Fatehi F, Kardeş S. Assessing the online search behavior for COVID-19 outbreak: Evidence from Iran. PLOS ONE 2022;17(7):e0267818
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Young LE, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470
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