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Citing this Article

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Published on 20.04.15 in Vol 17, No 4 (2015): April

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

Works citing "A New Source of Data for Public Health Surveillance: Facebook Likes"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3970):

(note that this is only a small subset of citations)

  1. Mejova Y, Weber I, Fernandez-Luque L. Online Health Monitoring using Facebook Advertisement Audience Estimates in the United States: Evaluation Study. JMIR Public Health and Surveillance 2018;4(1):e30
    CrossRef
  2. Bhattacharya S, Srinivasan P, Polgreen P. Social media engagement analysis of U.S. Federal health agencies on Facebook. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  3. Zhao Z, Li M, Li C, Wang T, Xu Y, Zhan Z, Dong W, Shen Z, Xu M, Lu J, Chen Y, Lai S, Fan W, Bi Y, Wang W, Ning G. Dietary preferences and diabetic risk in China: A large‐scale nationwide Internet data‐based study. Journal of Diabetes 2020;12(4):270
    CrossRef
  4. Gupta A, Katarya R. Social media based surveillance systems for healthcare using machine learning: A systematic review. Journal of Biomedical Informatics 2020;108:103500
    CrossRef
  5. Aiello AE, Renson A, Zivich PN. Social Media– and Internet-Based Disease Surveillance for Public Health. Annual Review of Public Health 2020;41(1):101
    CrossRef
  6. Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari RM, Gningaye Kengni FL, Bazzoli F, Montagnani M. Attitudes of Crohn’s Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts. JMIR Public Health and Surveillance 2017;3(3):e51
    CrossRef
  7. Yang P, Lee W, Liu H, Shih M, Chen T, Chou L, Hwang S. Use of Facebook by Hospitals in Taiwan: A Nationwide Survey. International Journal of Environmental Research and Public Health 2018;15(6):1188
    CrossRef
  8. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  9. Abdellaoui R, Schück S, Texier N, Burgun A. Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?. JMIR Public Health and Surveillance 2017;3(2):e36
    CrossRef
  10. Lwin M, Lu J, Sheldenkar A, Schulz P. Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model. International Journal of Environmental Research and Public Health 2018;15(9):1974
    CrossRef
  11. Tourassi G, Yoon H, Xu S. A novel web informatics approach for automated surveillance of cancer mortality trends. Journal of Biomedical Informatics 2016;61:110
    CrossRef
  12. Yan S, Chughtai A, Macintyre C. Utility and potential of rapid epidemic intelligence from internet-based sources. International Journal of Infectious Diseases 2017;63:77
    CrossRef
  13. Becker D, van Breda W, Funk B, Hoogendoorn M, Ruwaard J, Riper H. Predictive modeling in e-mental health: A common language framework. Internet Interventions 2018;12:57
    CrossRef
  14. Timmins KA, Green MA, Radley D, Morris MA, Pearce J. How has big data contributed to obesity research? A review of the literature. International Journal of Obesity 2018;42(12):1951
    CrossRef
  15. Scarpino SV, Scott JG, Eggo RM, Clements B, Dimitrov NB, Meyers LA, Ferrari M. Socioeconomic bias in influenza surveillance. PLOS Computational Biology 2020;16(7):e1007941
    CrossRef
  16. Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
    CrossRef
  17. Liu JS, Ho MH, Lu LYY, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293
    CrossRef
  18. Ayers JW, Westmaas JL, Leas EC, Benton A, Chen Y, Dredze M, Althouse BM. Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout. JMIR Public Health and Surveillance 2016;2(1):e16
    CrossRef
  19. Nghiem LTP, Papworth SK, Lim FKS, Carrasco LR, Gao Z. Analysis of the Capacity of Google Trends to Measure Interest in Conservation Topics and the Role of Online News. PLOS ONE 2016;11(3):e0152802
    CrossRef
  20. Saha K, Weber I, Birnbaum ML, De Choudhury M. Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates. Journal of Medical Internet Research 2017;19(5):e156
    CrossRef
  21. D´Agostino M, Medina Mejía F, Martí M, Novillo-Ortiz D, Hazrum F, G. de Cosío F. Infoxicación en salud. La sobrecarga de información sobre salud en la web y el riesgo de que lo importante se haga invisible. Revista Panamericana de Salud Pública 2017;41:1
    CrossRef
  22. Mackey T, Purushothaman V, Li J, Shah N, Nali M, Bardier C, Liang B, Cai M, Cuomo R. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health and Surveillance 2020;6(2):e19509
    CrossRef
  23. Rempel ES, Barnett J, Durrant H. Public engagement with UK government data science: Propositions from a literature review of public engagement on new technologies. Government Information Quarterly 2018;35(4):569
    CrossRef
  24. Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41
    CrossRef
  25. Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187
    CrossRef
  26. Sanz-Lorente M, Wanden-Berghe C, Castejón-Bolea R, Sanz-Valero J. Web 2.0 Tools in the Prevention of Curable Sexually Transmitted Diseases: Scoping Review. Journal of Medical Internet Research 2018;20(3):e113
    CrossRef
  27. Shieh G, Wu S, Tsai C, Chang C, Chang T, Lui P, Yao Y, Sheu WH. A Strategic Imperative for Promoting Hospital Branding: Analysis of Outcome Indicators. Interactive Journal of Medical Research 2020;9(1):e14546
    CrossRef
  28. Altındiş S, Kıran Morkoç . SAĞLIK HİZMETLERİNDE BÜYÜK VERİ. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2018;
    CrossRef
  29. Ngai CSB, Singh RG, Lu W, Koon AC. Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media. Journal of Medical Internet Research 2020;22(8):e21360
    CrossRef
  30. 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
  31. Allen CJ, Yakoub D, Macedo FI, Dosch AR, Brosch J, Dudeja V, Ayala R, Merchant NB. Long-term Quality of Life and Gastrointestinal Functional Outcomes After Pancreaticoduodenectomy. Annals of Surgery 2018;268(4):657
    CrossRef
  32. Strekalova YA. Health Risk Information Engagement and Amplification on Social Media. Health Education & Behavior 2017;44(2):332
    CrossRef
  33. Wilson C, Jumbert MG. The new informatics of pandemic response: humanitarian technology, efficiency, and the subtle retreat of national agency. Journal of International Humanitarian Action 2018;3(1)
    CrossRef
  34. Bidargaddi N, Musiat P, Makinen V, Ermes M, Schrader G, Licinio J. Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies. Molecular Psychiatry 2017;22(2):164
    CrossRef
  35. Wagaw F, Okoro CA, Kim S, Park J, Rachman F. Linking Data From Health Surveys and Electronic Health Records: A Demonstration Project in Two Chicago Health Center Clinics. Preventing Chronic Disease 2018;15
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3970):

  1. Bahr TJ, H. Crampton N, Domb S. Health Professionals' Education in the Age of Clinical Information Systems, Mobile Computing and Social Networks. 2017. :65
    CrossRef
  2. Ning X. Theory and Practice of Business Intelligence in Healthcare. 2020. chapter 8:166
    CrossRef
  3. Natsiavas P, Maglaveras N, Koutkias V. Knowledge Representation for Health Care. 2017. Chapter 4:51
    CrossRef