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

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

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

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

Journals

  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 View
  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) View
  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 View
  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 View
  5. Aiello A, Renson A, Zivich P. Social Media– and Internet-Based Disease Surveillance for Public Health. Annual Review of Public Health 2020;41(1):101 View
  6. Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari R, Gningaye Kengni F, 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 View
  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 View
  8. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  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 View
  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 View
  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 View
  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 View
  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 View
  14. Timmins K, Green M, Radley D, Morris M, Pearce J. How has big data contributed to obesity research? A review of the literature. International Journal of Obesity 2018;42(12):1951 View
  15. Scarpino S, Scott J, Eggo R, Clements B, Dimitrov N, Meyers L, Ferrari M. Socioeconomic bias in influenza surveillance. PLOS Computational Biology 2020;16(7):e1007941 View
  16. Kim S, Marsch L, Hancock J, Das A. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353 View
  17. Liu J, Ho M, Lu L, Xiao G. Recent Themes in Social Networking Service Research. PLOS ONE 2017;12(1):e0170293 View
  18. Ayers J, Westmaas J, Leas E, Benton A, Chen Y, Dredze M, Althouse B. 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 View
  19. Nghiem L, Papworth S, Lim F, Carrasco L, 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 View
  20. Saha K, Weber I, Birnbaum M, De Choudhury M. Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates. Journal of Medical Internet Research 2017;19(5):e156 View
  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 View
  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 View
  23. Rempel E, 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 View
  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 View
  25. Schwab-Reese L, 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 View
  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 View
  27. Shieh G, Wu S, Tsai C, Chang C, Chang T, Lui P, Yao Y, Sheu W. A Strategic Imperative for Promoting Hospital Branding: Analysis of Outcome Indicators. Interactive Journal of Medical Research 2020;9(1):e14546 View
  28. ALTINDİŞ S, KIRAN MORKOÇ İ. Sağlık Hizmetlerinde Büyük Veri. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2018;11(2):257 View
  29. Ngai C, Singh R, Lu W, Koon A. 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 View
  30. 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
  31. Allen C, Yakoub D, Macedo F, Dosch A, Brosch J, Dudeja V, Ayala R, Merchant N. Long-term Quality of Life and Gastrointestinal Functional Outcomes After Pancreaticoduodenectomy. Annals of Surgery 2018;268(4):657 View
  32. Strekalova Y. Health Risk Information Engagement and Amplification on Social Media. Health Education & Behavior 2017;44(2):332 View
  33. Wilson C, Jumbert M. The new informatics of pandemic response: humanitarian technology, efficiency, and the subtle retreat of national agency. Journal of International Humanitarian Action 2018;3(1) View
  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 View
  35. Wagaw F, Okoro C, 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 View
  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) View
  37. Gutiérrez-Barroso J, Báez-García A, Flores-Muñoz F. EMERGING PRACTICES IN FACEBOOK AT NATIONAL PARKS. Scientific Annals of Economics and Business 2019;66(4):573 View
  38. Nguyen H, Nguyen T, Nguyen D. A graph-based approach for population health analysis using Geo-tagged tweets. Multimedia Tools and Applications 2021;80(5):7187 View
  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 View
  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 View
  41. Sooknanan J, Mays N. Harnessing Social Media in the Modelling of Pandemics—Challenges and Opportunities. Bulletin of Mathematical Biology 2021;83(5) View
  42. El-Toukhy S. 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 View
  43. Afful-Dadzie E, Afful-Dadzie A, Egala S. Social media in health communication: A literature review of information quality. Health Information Management Journal 2023;52(1):3 View
  44. Hung K, Lee N, 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 View
  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 View
  46. Ivanov A, Sharman R. Impact of User-Generated Internet Content on Hospital Reputational Dynamics. Journal of Management Information Systems 2018;35(4):1277 View
  47. Ngai C, Singh R, 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 View
  48. Boman C. Examining characteristics of prebunking strategies to overcome PR disinformation attacks. Public Relations Review 2021;47(5):102105 View
  49. Hanna J, Nijhawan A, Lehmann C, Medford R. Simulating Facebook Advertisements to Establish Cost per New HIV Diagnosis Using Routine and Targeted Models in a Local Population. Healthcare 2022;10(7):1195 View
  50. Kurz C, König A. Predicting time preference from social media behavior. Future Generation Computer Systems 2022;130:155 View
  51. Lathan H, Kwan A, Takats C, Tanner J, Wormer R, Romero D, Jones H. Ethical considerations and methodological uses of Facebook data in public health research: A systematic review. Social Science & Medicine 2023;322:115807 View
  52. Martínez Rolán X, Míguez González M, Corbacho Valencia J. La comunicación de la sanidad en redes sociales. Una perspectiva institucional europea. Signo y Pensamiento 2022;41 View
  53. Yao L, Ngai C. Engaging social media users with attitudinal messages during health crisis communication. Lingua 2022;268:103199 View
  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 View
  55. Sahu K, Majowicz S, Dubin J, Morita P. NextGen Public Health Surveillance and the Internet of Things (IoT). Frontiers in Public Health 2021;9 View
  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 View
  57. Hanna J, Saleh S, Lehmann C, Nijhawan A, Medford R. Reaching Populations at Risk for HIV Through Targeted Facebook Advertisements: Cost-Consequence Analysis. JMIR Formative Research 2023;7:e38630 View
  58. Jose R, Matero M, Sherman G, Curtis B, Giorgi S, Schwartz H, Ungar L. Using Facebook language to predict and describe excessive alcohol use. Alcoholism: Clinical and Experimental Research 2022;46(5):836 View
  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) View
  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 W. Assessment of the global healthcare industry during COVID-19 pandemic: A content analysis approach. F1000Research 2023;12:1310 View
  61. Lee E, Bao H, Wang Y, Lim Y. From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media. Social Science & Medicine 2023;328:115979 View
  62. Sigalo N, Awasthi N, Abrar S, 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 View
  63. 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 W. Assessment of the global healthcare industry during COVID-19 pandemic: A content analysis approach. F1000Research 2024;12:1310 View
  64. Pavani T, Malla S. A review of deep learning techniques for disaster management in social media: trends and challenges. The European Physical Journal Special Topics 2024 View

Books/Policy Documents

  1. Bahr T, H. Crampton N, Domb S. Health Professionals' Education in the Age of Clinical Information Systems, Mobile Computing and Social Networks. View
  2. Ning X. Theory and Practice of Business Intelligence in Healthcare. View
  3. Natsiavas P, Maglaveras N, Koutkias V. Knowledge Representation for Health Care. View
  4. Ning X. Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering. View
  5. Guidry J, Miller C. The International Encyclopedia of Health Communication. View
  6. Liang B, Wang Y. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. View
  7. Ozkaynak M, Skiba D. Nursing Informatics. View
  8. Shetty S, Singh C, Rao S, Desai U, Srinivas P. Emergent Converging Technologies and Biomedical Systems. View