Public Health Intelligence and the Internet: Current State of the Art

  • Eun Kyong ShinEmail author
  • Arash Shaban-Nejad
Part of the Lecture Notes in Social Networks book series (LNSN)


The increasing role of Internet and the World Wide Web as a widely accessible health information source creates opportunities, along with challenges, for researchers, healthcare workers and organizations across the globe, enabling them to collect and analyze data to improving patient care, disease surveillance, and delivering online preventive or therapeutic interventions. In this chapter, after reviewing some of the applications of Internet in public health, we analyze the use of online space in clinical trials, experiments, or observations performed in clinical research, in the United States. We provide visual analytics for health data and preliminary findings from a database that systematically comprises clinical trial records. Our study focuses on clinical trial data with an “online” component in its study design. We first parse out historical trajectories of online clinical trials since its first introduction to show the use of the Internet space in health studies.


Internet intervention Clinical trials Social media Population health Surveillance Public health 


  1. 1.
    Fox, S., Duggan, M.: Health Online 2013. Pew Internet & American Life Project, Washington, DC (2013)Google Scholar
  2. 2.
    Moorhead, S.A., Hazlett, D.E., Harrison, L., Carroll, J.K., Irwin, A., Hoving, C.: A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J. Med. Internet Res. 15(4) (2013)Google Scholar
  3. 3.
    Eysenbach, G.: Medicine 2.0: social networking, collaboration, participation, apomediation, and openness. J. Med. Internet Res. 10(3), e22 (2008)CrossRefGoogle Scholar
  4. 4.
    Lampos, V., Cristianini, N.: Tracking the flu pandemic by monitoring the social web. In: 2010 2nd International Workshop on Cognitive Information Processing (CIP), pp. 411–416. IEEE (2010)Google Scholar
  5. 5.
    Culotta, A.: Towards detecting influenza epidemics by analyzing Twitter messages. In: Proceedings of the First Workshop on Social Media Analytics, pp. 115–122. ACM (2010)Google Scholar
  6. 6.
    Corley, C.D., Cook, D.J., Mikler, A.R., Singh, K.P.: Text and structural data mining of influenza mentions in web and social media. Int. J. Environ. Res. Public health 7(2), 596–615 (2010)CrossRefGoogle Scholar
  7. 7.
    Broniatowski, D.A., Paul, M.J., Dredze, M.: National and local influenza surveillance through Twitter: an analysis of the 2012–2013 influenza epidemic. PLoS ONE 8(12), e83672 (2013)CrossRefGoogle Scholar
  8. 8.
    Bernardo, T.M., Rajic, A., Young, I., Robiadek, K., Pham, M.T., Funk, J.A.: Scoping review on search queries and social media for disease surveillance: a chronology of innovation. J. Med. Internet Res. 15(7), e147 (2013)CrossRefGoogle Scholar
  9. 9.
    Chun-Hai Fung, I., Wong, K.: Efficient use of social media during the avian influenza A (H7N9) emergency response. West. Pac. Surveill. Response J. 4(4), 1 (2013)CrossRefGoogle Scholar
  10. 10.
    Salathé, M., Freifeld, C.C., Mekaru, S.R., Tomasulo, A.F., Brownstein, J.S.: Influenza A (H7N9) and the importance of digital epidemiology. N. Engl. J. Med. 369(5), 401 (2013)CrossRefGoogle Scholar
  11. 11.
    Zhang, E.X., Yang, Y., Di Shang, R., Simons, J.J.P., Quek, B.K., Yin, X.F., See, W., Oh, O.S.H., Nandar, K.S.T., Ling, V.R.Y.: Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A (H7N9) outbreak in China. West. Pac. Surveill. Response J. 6(2), 66–72 (2015)CrossRefGoogle Scholar
  12. 12.
    Gu, H., Chen, B., Zhu, H., Jiang, T., Wang, X., Chen, L., Jiang, Z., Zheng, D., Jiang, J.: Importance of Internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks. J. Med. Internet Res. 16(1), e20 (2014)CrossRefGoogle Scholar
  13. 13.
    Chunara, R., Andrews, J.R., Brownstein, J.S.: Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. Am. J. Trop. Med. Hyg. 86(1), 39–45 (2012)CrossRefGoogle Scholar
  14. 14.
    Morse, S.S.: Factors in the emergence of infectious diseases. In: Plagues and Politics, pp. 8–26. Springer (2001)Google Scholar
  15. 15.
    Morens, D.M., Folkers, G.K., Fauci, A.S.: The challenge of emerging and re-emerging infectious diseases. Nature 430(6996), 242–249 (2004)CrossRefGoogle Scholar
  16. 16.
    Heymann, D.L.: The international response to the outbreak of SARS in 2003. Philos. Trans. R. Soc. B Biol. Sci. 359(1447), 1127 (2004)CrossRefGoogle Scholar
  17. 17.
    Chan, E.H., Brewer, T.F., Madoff, L.C., Pollack, M.P., Sonricker, A.L., Keller, M., Freifeld, C.C., Blench, M., Mawudeku, A., Brownstein, J.S.: Global capacity for emerging infectious disease detection. Proc. Natl. Acad. Sci. 107(50), 21701–21706 (2010)CrossRefGoogle Scholar
  18. 18.
    Binder, S., Levitt, A.M., Sacks, J.J., Hughes, J.M.: Emerging infectious diseases: public health issues for the 21st century. Science 284(5418), 1311–1313 (1999)CrossRefGoogle Scholar
  19. 19.
    Hartley, D.M.: Using social media and internet data for public health surveillance: the importance of talking. Milbank Q. 92(1), 34–39 (2014)CrossRefGoogle Scholar
  20. 20.
    WHO: The world health report 2007: a safer future: global public health security in the 21st century (2007)Google Scholar
  21. 21.
    Brownstein, J., Freifeld, C.: HealthMap: the development of automated real-time internet surveillance for epidemic intelligence. Euro. Surveill. 12(11), E071129 (2007)Google Scholar
  22. 22.
    Freifeld, C.C., Mandl, K.D., Reis, B.Y., Brownstein, J.S.: HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J. Am. Med. Inform. Assoc. 15(2), 150–157 (2008)CrossRefGoogle Scholar
  23. 23.
    Smolinski, M.S., Crawley, A.W., Baltrusaitis, K., Chunara, R., Olsen, J.M., Wójcik, O., Santillana, M., Nguyen, A., Brownstein, J.S.: Flu near you: crowdsourced symptom reporting spanning 2 influenza seasons. Am. J. Public Health 105(10), 2124–2130 (2015)CrossRefGoogle Scholar
  24. 24.
    Mollema, L., Harmsen, I.A., Broekhuizen, E., Clijnk, R., De Melker, H., Paulussen, T., Kok, G., Ruiter, R., Das, E.: Disease detection or public opinion reflection? Content analysis of tweets, other social media, and online newspapers during the measles outbreak in The Netherlands in 2013. J. Med. Internet Res. 17(5) (2015)Google Scholar
  25. 25.
    Leaman, R., Wojtulewicz, L., Sullivan, R., Skariah, A., Yang, J., Gonzalez, G.: Towards internet-age pharmacovigilance: extracting adverse drug reactions from user posts to health-related social networks. In: Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, pp. 117–125. Association for Computational Linguistics (2010)Google Scholar
  26. 26.
    Brien, S., Naderi, N., Shaban-Nejad, A., Mondor, L., Kroemker, D., Buckeridge, D.L.: Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 683–686. ACM, Rio de Janeiro, Brazil (2013)Google Scholar
  27. 27.
    Salathé, M., Khandelwal, S.: Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput. Biol. 7(10), e1002199 (2011)CrossRefGoogle Scholar
  28. 28.
    Griffiths, F., Cave, J., Boardman, F., Ren, J., Pawlikowska, T., Ball, R., Clarke, A., Cohen, A.: Social networks—the future for health care delivery. Soc. Sci. Med. 75(12), 2233–2241 (2012)CrossRefGoogle Scholar
  29. 29.
    Griffiths, F., Lindenmeyer, A., Powell, J., Lowe, P., Thorogood, M.: Why are health care interventions delivered over the internet? A systematic review of the published literature. J. Med. Internet Res. 8(2), e10 (2006)CrossRefGoogle Scholar
  30. 30.
    Scanfeld, D., Scanfeld, V., Larson, E.L.: Dissemination of health information through social networks: Twitter and antibiotics. Am. J. Infect. Control 38(3), 182–188 (2010)CrossRefGoogle Scholar
  31. 31.
    Capurro, D., Cole, K., Echavarría, M.I., Joe, J., Neogi, T., Turner, A.M.: The use of social networking sites for public health practice and research: a systematic review. J. Med. Internet Res. 16(3), e79 (2014)CrossRefGoogle Scholar
  32. 32.
    Courtney, K.: The use of social media in healthcare: organizational, clinical, and patient perspectives. Enabling Health and Healthcare through ICT: Available, Tailored and Closer 183, 244 (2013)Google Scholar
  33. 33.
    Thompson, L.A., Black, E., Duff, W.P., Black, N.P., Saliba, H., Dawson, K.: Protected health information on social networking sites: ethical and legal considerations. J. Med. Internet Res. 13(1), e8 (2011)CrossRefGoogle Scholar
  34. 34.
    Cooper, C.P., Gelb, C.A., Rim, S.H., Hawkins, N.A., Rodriguez, J.L., Polonec, L.: Physicians who use social media and other internet-based communication technologies. J. Am. Med. Inform. Assoc. 19(6), 960–964 (2012)CrossRefGoogle Scholar
  35. 35.
    Thackeray, R., Neiger, B.L., Smith, A.K., Van Wagenen, S.B.: Adoption and use of social media among public health departments. BMC Public Health 12(1), 242 (2012)CrossRefGoogle Scholar
  36. 36.
    Greene, J.A., Choudhry, N.K., Kilabuk, E., Shrank, W.H.: Online social networking by patients with diabetes: a qualitative evaluation of communication with Facebook. J. Gen. Intern. Med. 26(3), 287–292 (2011)CrossRefGoogle Scholar
  37. 37.
    Cobb, N.K., Graham, A.L., Abrams, D.B.: Social network structure of a large online community for smoking cessation. Am. J. Public Health 100(7), 1282–1289 (2010)CrossRefGoogle Scholar
  38. 38.
    Déglise, C., Suggs, L.S., Odermatt, P.: Short message service (SMS) applications for disease prevention in developing countries. J. Med. Internet Res. 14(1), e3 (2012)CrossRefGoogle Scholar
  39. 39.
    Jaganath, D., Gill, H.K., Cohen, A.C., Young, S.D.: Harnessing Online Peer Education (HOPE): integrating C-POL and social media to train peer leaders in HIV prevention. AIDS Care 24(5), 593–600 (2012)CrossRefGoogle Scholar
  40. 40.
    Guse, K., Levine, D., Martins, S., Lira, A., Gaarde, J., Westmorland, W., Gilliam, M.: Interventions using new digital media to improve adolescent sexual health: a systematic review. J. Adolesc. Health 51(6), 535–543 (2012)CrossRefGoogle Scholar
  41. 41.
    Mock, J., McPhee, S.J., Nguyen, T., Wong, C., Doan, H., Lai, K.Q., Nguyen, K.H., Nguyen, T.T., Bui-Tong, N.: Effective lay health worker outreach and media-based education for promoting cervical cancer screening among Vietnamese American women. Am. J. Public Health 97(9), 1693–1700 (2007)CrossRefGoogle Scholar
  42. 42.
    Horvath, K.J., Ecklund, A.M., Hunt, S.L., Nelson, T.F., Toomey, T.L.: Developing Internet-based health interventions: a guide for public health researchers and practitioners. J. Med. Internet Res. 17(1), e28 (2015)CrossRefGoogle Scholar
  43. 43.
    Brokstein, R.T., Cohen, S.O., Walco, G.A.: STARBRIGHT World and psychological adjustment in children with cancer: a clinical series. Child. Health Care 31(1), 29–45 (2002)CrossRefGoogle Scholar
  44. 44.
    Zarin, D.A., Tse, T., Williams, R.J., Califf, R.M., Ide, N.C.: The results database—update and key issues. N. Engl. J. Med. 2011(364), 852–860 (2011)CrossRefGoogle Scholar
  45. 45.
    Califf, R.M., Zarin, D.A., Kramer, J.M., Sherman, R.E., Aberle, L.H., Tasneem, A.: Characteristics of clinical trials registered in, 2007–2010. JAMA 307(17), 1838–1847 (2012)CrossRefGoogle Scholar
  46. 46.
    Ventola, C.L.: Social media and health care professionals: benefits, risks, and best practices. Pharm. Ther. 39(7), 491 (2014)Google Scholar
  47. 47.
    Hesse, B.W., Nelson, D.E., Kreps, G.L., Croyle, R.T., Arora, N.K., Rimer, B.K., Viswanath, K.: Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. Arch. Intern. Med. 165(22), 2618–2624 (2005)CrossRefGoogle Scholar
  48. 48.
    Korda, H., Itani, Z.: Harnessing social media for health promotion and behavior change. Health Promot. Pract. 14(1), 15–23 (2013)CrossRefGoogle Scholar
  49. 49.
    Velasco, E., Agheneza, T., Denecke, K., Kirchner, G., Eckmanns, T.: Social media and internet-based data in global systems for public health surveillance: a systematic review. Milbank Q. 92(1), 7–33 (2014)CrossRefGoogle Scholar
  50. 50.
    Fung, I.C.-H., Tse, Z.T.H., Fu, K.-W.: The use of social media in public health surveillance. West. Pac. Surveill. Response J. 6(2), 3–6 (2015)CrossRefGoogle Scholar
  51. 51.
    Dennison, L., Morrison, L., Conway, G., Yardley, L.: Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J. Med. Internet Res. 15(4), e86 (2013)CrossRefGoogle Scholar
  52. 52.
    Mathers, C., Fat, D.M., Boerma, J.T.: The Global Burden of Disease: 2004 Update. World Health Organization (2008)Google Scholar
  53. 53.
    Paul, M.J., Sarker, A., Brownstein, J.S., Nikfarjam, A., Scotch, M., Smith, K.L., Gonzalez, G.: Social media mining for public health monitoring and surveillance. In: Pacific Symposium on Biocomputing (PSB), pp. 468–479 (2016)Google Scholar
  54. 54.
    Center for Disease Control and Prevention: The Health Communicator’s Social Media Toolkit. Atlanta, GA (2011)Google Scholar
  55. 55.
    Fox, S., Jones, S.: The Social Life of Health Information: Americans’ Pursuit of Health Takes Place Within a Widening Network of Both Online and Offline Sources. Pew Internet & American Life Project Google Scholar, Washington, DC (2010)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of PediatricsCenter for Biomedical Informatics, University of Tennessee Health Science Center—Oak-Ridge National Lab (UTHSC-ORNL)MemphisUSA

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