This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Infoveillance and Social Listening (209)

Published on in Vol 15, No 11 (2013): November

Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study

Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study

Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study

Authors of this article:

Andrey Zheluk1 ;   Casey Quinn2 ;   Daniel Hercz3 ;   James A Gillespie1
Article Authors Cited by (19) Tweetations (9) Metrics

Journals

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  2. 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 View
  3. Tana J, 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 View
  4. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  5. Cruvinel T, Ayala Aguirre P, Lotto M, Marchini Oliveira T, Rios D, Pereira Cruvinel A. Digital behavior surveillance: Monitoring dental caries and toothache interests of Google users from developing countries. Oral Diseases 2019;25(1):339 View
  6. Generous N, Fairchild G, Deshpande A, Del Valle S, Priedhorsky R, Salathé M. Global Disease Monitoring and Forecasting with Wikipedia. PLoS Computational Biology 2014;10(11):e1003892 View
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  8. 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 View
  9. 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 View
  10. 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 View
  11. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  12. Barros J, 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 View
  13. 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 View
  14. 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 View
  15. Aguirre P, Coelho M, Oliveira T, Rios D, Cruvinel A, Cruvinel T. What Can Google Inform Us about People's Interests regarding Dental Caries in Different Populations?. Caries Research 2018;52(3):177 View
  16. Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph T, 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 View
  17. 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 View
  18. Young L, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470 View