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Citing this Article

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Published on 12.11.13 in Vol 15, No 11 (2013): November

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

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)

  1. 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
    CrossRef
  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
    CrossRef
  3. 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
    CrossRef
  4. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  5. 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
    CrossRef
  6. 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
    CrossRef
  7. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  11. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
    CrossRef
  12. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  15. 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
    CrossRef
  16. 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
    CrossRef
  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
    CrossRef
  18. 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
    CrossRef