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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"

Steven Gittelman, Victor Lange, Carol A Gotway Crawford, Catherine A Okoro, Eugene Lieb, Satvinder S Dhingra, Elaine Trimarchi

J Med Internet Res 2015 (Apr 20); 17(4):e98 

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)

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  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
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  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
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  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
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  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
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  28. ALTINDİŞ S, KIRAN MORKOÇ . Sağlık Hizmetlerinde Büyük Veri. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2018;11(2):257
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  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
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  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
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  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
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  32. . Health Risk Information Engagement and Amplification on Social Media. Health Education & Behavior 2017;44(2):332
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  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)
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  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
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  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
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  36. Tassone J, Yan P, Simpson M, Mendhe C, Mago V, Choudhury S. Utilizing deep learning and graph mining to identify drug use on Twitter data. BMC Medical Informatics and Decision Making 2020;20(S11)
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  37. Gutiérrez-Barroso J, Báez-García AJ, Flores-Muñoz F. EMERGING PRACTICES IN FACEBOOK AT NATIONAL PARKS. Scientific Annals of Economics and Business 2019;66(4):573
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  38. Nguyen H, Nguyen T, Nguyen DT. A graph-based approach for population health analysis using Geo-tagged tweets. Multimedia Tools and Applications 2021;80(5):7187
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  39. Kuchler T, Russel D, Stroebel J. JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook. Journal of Urban Economics 2022;127:103314
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  40. Roszczyńska-Kurasińska M, Domaradzka A, Ślosarski B, Żbikowska A. Facebook Data as Part of Cultural Heritage Investments Toolbox: Pilot Analysis of Users Interests and Preferences Concerning Adaptive Reuse. Sustainability 2021;13(4):2410
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  41. Sooknanan J, Mays N. Harnessing Social Media in the Modelling of Pandemics—Challenges and Opportunities. Bulletin of Mathematical Biology 2021;83(5)
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  42. . Insights From the SmokeFree.gov Initiative Regarding the Use of Smoking Cessation Digital Platforms During the COVID-19 Pandemic: Cross-sectional Trends Analysis Study. Journal of Medical Internet Research 2021;23(3):e24593
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  43. Afful-Dadzie E, Afful-Dadzie A, Egala SB. Social media in health communication: A literature review of information quality. Health Information Management Journal 2023;52(1):3
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  44. Hung K, Lee NA, Peng K, Sui J. Profile Pictures in the Digital World: Self-Photographs Predict Better Life Satisfaction. International Journal of Environmental Research and Public Health 2021;18(12):6667
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  45. Guo S, Fang F, Zhou T, Zhang W, Guo Q, Zeng R, Chen X, Liu J, Lu X. Improving Google Flu Trends for COVID-19 estimates using Weibo posts. Data Science and Management 2021;3:13
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  46. Ivanov A, Sharman R. Impact of User-Generated Internet Content on Hospital Reputational Dynamics. Journal of Management Information Systems 2018;35(4):1277
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  47. Ngai CSB, Singh RG, Yao L. Impact of COVID-19 Vaccine Misinformation on Social Media Virality: Content Analysis of Message Themes and Writing Strategies. Journal of Medical Internet Research 2022;24(7):e37806
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  48. . Examining characteristics of prebunking strategies to overcome PR disinformation attacks. Public Relations Review 2021;47(5):102105
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  49. Hanna JJ, Nijhawan AE, Lehmann CU, Medford RJ. Simulating Facebook Advertisements to Establish Cost per New HIV Diagnosis Using Routine and Targeted Models in a Local Population. Healthcare 2022;10(7):1195
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  50. Kurz CF, König AN. Predicting time preference from social media behavior. Future Generation Computer Systems 2022;130:155
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  51. Lathan HS, Kwan A, Takats C, Tanner JP, Wormer R, Romero D, Jones HE. Ethical considerations and methodological uses of Facebook data in public health research: A systematic review. Social Science & Medicine 2023;322:115807
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  52. Martínez Rolán X, Míguez González MI, Corbacho Valencia JM. La comunicación de la sanidad en redes sociales. Una perspectiva institucional europea. Signo y Pensamiento 2022;41
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  53. Yao L, Ngai CSB. Engaging social media users with attitudinal messages during health crisis communication. Lingua 2022;268:103199
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  54. Lorenzoni V, Andreozzi G, Bazzani A, Casigliani V, Pirri S, Tavoschi L, Turchetti G. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media. International Journal of Environmental Research and Public Health 2022;19(13):7785
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  55. Sahu KS, Majowicz SE, Dubin JA, Morita PP. NextGen Public Health Surveillance and the Internet of Things (IoT). Frontiers in Public Health 2021;9
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  56. Wang D, Lu J. How News Agencies’ Twitter Posts on COVID-19 Vaccines Attract Audiences’ Twitter Engagement: A Content Analysis. International Journal of Environmental Research and Public Health 2022;19(5):2716
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  57. Hanna JJ, Saleh SN, Lehmann CU, Nijhawan AE, Medford RJ. Reaching Populations at Risk for HIV Through Targeted Facebook Advertisements: Cost-Consequence Analysis. JMIR Formative Research 2023;7:e38630
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  58. Jose R, Matero M, Sherman G, Curtis B, Giorgi S, Schwartz HA, Ungar LH. Using Facebook language to predict and describe excessive alcohol use. Alcoholism: Clinical and Experimental Research 2022;46(5):836
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  59. Munaf S, Swingler K, Brülisauer F, O’Hare A, Gunn G, Reeves A. Text mining of veterinary forums for epidemiological surveillance supplementation. Social Network Analysis and Mining 2023;13(1)
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  60. Ladki M, Daher L, Abou Chacra R, Kassis E, Ayrout C, Moubayed H, Abbas A, Boudani N, A Doumit R, Bitar S, Kizirian A, Hasna R, Barakat D, Faour WH. Assessment of the global healthcare industry during COVID-19 pandemic: A content analysis approach. F1000Research 2023;12:1310
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  61. Lee EW, Bao H, Wang Y, Lim YT. From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media. Social Science & Medicine 2023;328:115979
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  62. Sigalo N, Awasthi N, Abrar SM, Frias-Martinez V. Using COVID-19 Vaccine Attitudes on Twitter to Improve Vaccine Uptake Forecast Models in the United States: Infodemiology Study of Tweets. JMIR Infodemiology 2023;3:e43703
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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
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  2. . Theory and Practice of Business Intelligence in Healthcare. 2020. chapter 8:166
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  3. Natsiavas P, Maglaveras N, Koutkias V. Knowledge Representation for Health Care. 2017. Chapter 4:51
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  4. . Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering. 2021. chapter 47:969
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  5. Guidry JPD, Miller CA. The International Encyclopedia of Health Communication. 2022. :1
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  6. Liang B, Wang Y. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. 2021. Chapter 10:185
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  7. Ozkaynak M, Skiba D. Nursing Informatics. 2022. Chapter 19:267
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  8. Shetty SS, Singh C, Rao SB, Desai U, Srinivas PM. Emergent Converging Technologies and Biomedical Systems. 2023. Chapter 50:647
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