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Published on 27.03.09 in Vol 11, No 1 (2009): Jan-Mar

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

Works citing "Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1157):

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

  1. Sueki H. The association of suicide-related Twitter use with suicidal behaviour: A cross-sectional study of young internet users in Japan. Journal of Affective Disorders 2015;170:155
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  2. 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
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  3. Leal Neto OB, Albuquerque CM, Albuquerque JO, Barbosa CS. The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time. JMIR mhealth and uhealth 2014;2(1):e10
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  4. Brigo F, Igwe SC, Ausserer H, Nardone R, Tezzon F, Bongiovanni LG, Trinka E. Why do people Google epilepsy?. Epilepsy & Behavior 2014;31:67
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  5. Jadhav A, Andrews D, Fiksdal A, Kumbamu A, McCormick JB, Misitano A, Nelsen L, Ryu E, Sheth A, Wu S, Pathak J. Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research 2014;16(7):e160
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  6. Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives. Journal of Medical Internet Research 2014;16(10):e236
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  7. Brigo F, Lochner P, Tezzon F, Nardone R. Web search behavior for multiple sclerosis: An infodemiological study. Multiple Sclerosis and Related Disorders 2014;3(4):440
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  8. Koh S, Gordon AS, Wienberg C, Sood SO, Morley S, Burke DM. Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences. Journal of Medical Internet Research 2014;16(3):e84
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  9. Grajales III FJ, Sheps S, Ho K, Novak-Lauscher H, Eysenbach G. Social Media: A Review and Tutorial of Applications in Medicine and Health Care. Journal of Medical Internet Research 2014;16(2):e13
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  10. Anton C. Adverse drug reactions and social media. Adverse Drug Reaction Bulletin 2014;286(1):1103
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  11. Mao C, Wu X, Fu X, Di M, Yu Y, Yuan J, Yang Z, Tang J. An Internet-Based Epidemiological Investigation of the Outbreak of H7N9 Avian Influenza A in China Since Early 2013. Journal of Medical Internet Research 2014;16(9):e221
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  12. Zhang MW, Ho CS, Fang P, Lu Y, Ho RC. Usage of Social Media and Smartphone Application in Assessment of Physical and Psychological Well-Being of Individuals in Times of a Major Air Pollution Crisis. JMIR mhealth and uhealth 2014;2(1):e16
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  13. Young I, Gropp K, Pintar K, Waddell L, Marshall B, Thomas K, McEwen S, Rajić A. Experiences and Attitudes Towards Evidence-Informed Policy-Making Among Research and Policy Stakeholders in the Canadian Agri-Food Public Health Sector. Zoonoses and Public Health 2014;:n/a
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  14. 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
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  15. Cavazos-Rehg P, Krauss M, Grucza R, Bierut L. Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle. Journal of Medical Internet Research 2014;16(6):e157
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  16. Wallace RM, Stanek D, Griese S, Krulak D, Vora NM, Pacha L, Kan V, Said M, Williams C, Burgess TH, Clausen SS, Austin C, Gabel J, Lehman M, Finelli LN, Selvaggi G, Joyce P, Gordin F, Benator D, Bettano A, Cersovsky S, Blackmore C, Jones SV, Buchanan BD, Fernandez AI, Dinelli D, Agnes K, Clark A, Gill J, Irmler M, Blythe D, Mitchell K, Whitman TJ, Zapor MJ, Zorich S, Witkop C, Jenkins P, Mora P, Droller D, Turner S, Dunn L, Williams P, Richards C, Ewing G, Chapman K, Corbitt C, Girimont T, Franka R, Recuenco S, Blanton JD, Feldman KA. A Large-scale, Rapid Public Health Response to Rabies in an Organ Recipient and the Previously Undiagnosed Organ Donor. Zoonoses and Public Health 2014;:n/a
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  17. Santos J, Matos S. Analysing Twitter and web queries for flu trend prediction. Theoretical Biology and Medical Modelling 2014;11(Suppl 1):S6
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  18. Curtis B, Alanis-Hirsch K, Kaynak , Cacciola J, Meyers K, McLellan AT. Using Web searches to track interest in synthetic cannabinoids (aka ‘herbal incense’). Drug and Alcohol Review 2014;:n/a
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  19. Nascimento TD, DosSantos MF, Danciu T, DeBoer M, van Holsbeeck H, Lucas SR, Aiello C, Khatib L, Bender MA, Zubieta J, DaSilva AF. Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2014;16(4):e96
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  20. Kim M, Jung Y, Jung D, Hur C. Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics. Journal of Medical Internet Research 2014;16(2):e29
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  21. 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 Quarterly 2014;92(1):7
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  22. 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. Journal of Medical Internet Research 2014;16(1):e20
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  23. Zhang Y, Arab A, Cowling BJ, Stoto MA. Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data. BMC Public Health 2014;14(1):850
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  24. Lau EH, Zheng J, Tsang TK, Liao Q, Lewis B, Brownstein JS, Sanders S, Wong JY, Mekaru SR, Rivers C, Wu P, Jiang H, Li Y, Yu J, Zhang Q, Chang Z, Liu F, Peng Z, Leung GM, Feng L, Cowling BJ, Yu H. Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China. BMC Medicine 2014;12(1):88
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  25. Chen P, Chai J, Zhang L, Wang D. Development and Application of a Chinese Webpage Suicide Information Mining System (Sims). Journal of Medical Systems 2014;38(11)
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  26. Harris JK, Moreland-Russell S, Choucair B, Mansour R, Staub M, Simmons K. Tweeting for and Against Public Health Policy: Response to the Chicago Department of Public Health's Electronic Cigarette Twitter Campaign. Journal of Medical Internet Research 2014;16(10):e238
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  27. Harris JK, Moreland-Russell S, Tabak RG, Ruhr LR, Maier RC. Communication About Childhood Obesity on Twitter. American Journal of Public Health 2014;104(7):e62
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  28. Adams S. POST-PANOPTIC SURVEILLANCE THROUGH HEALTHCARE RATING SITES. Information, Communication & Society 2013;16(2):215
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  29. Gao X, Hamzah S, Yiu CKY, McGrath C, King NM. Dental Fear and Anxiety in Children and Adolescents: Qualitative Study Using YouTube. Journal of Medical Internet Research 2013;15(2):e29
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  30. Wong PW, Fu K, Yau RS, Ma HH, Law Y, Chang S, Yip PS. Accessing Suicide-Related Information on the Internet: A Retrospective Observational Study of Search Behavior. Journal of Medical Internet Research 2013;15(1):e3
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  31. Hanson CL, Burton SH, Giraud-Carrier C, West JH, Barnes MD, Hansen B. Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students. Journal of Medical Internet Research 2013;15(4):e62
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  32. Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation. Journal of Medical Internet Research 2013;15(7):e147
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  33. Williams SA, Terras M, Warwick C. How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed. Medicine 2.0 2013;2(2):e2
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  34. Liang B, Scammon DL. Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception. Journal of Medical Internet Research 2013;15(6):e114
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  35. Mooney P, Corcoran P, Ciepluch B. The potential for using volunteered geographic information in pervasive health computing applications. Journal of Ambient Intelligence and Humanized Computing 2013;4(6):731
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  36. Fung IC, Fu K, Ying Y, Schaible B, Hao Y, Chan C, Tse ZT. Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks. Infectious Diseases of Poverty 2013;2(1):31
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  37. Nagel AC, Tsou M, Spitzberg BH, An L, Gawron JM, Gupta DK, Yang J, Han S, Peddecord KM, Lindsay S, Sawyer MH. The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets. Journal of Medical Internet Research 2013;15(10):e237
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  38. Hua M, Alfi M, Talbot P. Health-Related Effects Reported by Electronic Cigarette Users in Online Forums. Journal of Medical Internet Research 2013;15(4):e59
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  39. Olds C. Assessing Presidential Agenda-Setting Capacity: Dynamic Comparisons of Presidential, Mass Media, and Public Attention to Economic Issues. Congress & the Presidency 2013;40(3):255
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  40. Bragazzi NL. Infodemiology and Infoveillance of Multiple Sclerosis in Italy. Multiple Sclerosis International 2013;2013:1
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  41. Chary M, Genes N, McKenzie A, Manini AF. Leveraging Social Networks for Toxicovigilance. Journal of Medical Toxicology 2013;9(2):184
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  42. French M, Mykhalovskiy E. Public health intelligence and the detection of potential pandemics. Sociology of Health & Illness 2013;35(2):174
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  43. Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189
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  44. Zheluk A, Quinn C, Hercz D, Gillespie JA. Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study. Journal of Medical Internet Research 2013;15(11):e256
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  45. Park S, Lee SW, Kwak J, Cha M, Jeong B. Activities on Facebook Reveal the Depressive State of Users. Journal of Medical Internet Research 2013;15(10):e217
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  46. Robillard JM, Whiteley L, Johnson TW, Lim J, Wasserman WW, Illes J. Utilizing Social Media to Study Information-Seeking and Ethical Issues in Gene Therapy. Journal of Medical Internet Research 2013;15(3):e44
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  47. Betsch C, Schmid P. Angst essen Impfbereitschaft auf?. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2013;56(1):124
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  48. Yom-Tov E, Gabrilovich E. Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries. Journal of Medical Internet Research 2013;15(6):e124
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  49. Chan K, Ho S, Lam T. Infodemiology of Alcohol Use in Hong Kong Mentioned on Blogs: Infoveillance Study. Journal of Medical Internet Research 2013;15(9):e192
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  50. Stockwell MS, Fiks AG. Utilizing health information technology to improve vaccine communication and coverage. Human Vaccines & Immunotherapeutics 2013;9(8):1802
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  51. Zhang N, Campo S, Janz KF, Eckler P, Yang J, Snetselaar LG, Signorini A. Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study. Journal of Medical Internet Research 2013;15(11):e261
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  52. Myslín M, Zhu S, Chapman W, Conway M. Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products. Journal of Medical Internet Research 2013;15(8):e174
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  53. Pervaiz F, Pervaiz M, Abdur Rehman N, Saif U. FluBreaks: Early Epidemic Detection from Google Flu Trends. Journal of Medical Internet Research 2012;14(5):e125
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  54. Marcus MA, Westra HA, Eastwood JD, Barnes KL. What Are Young Adults Saying About Mental Health? An Analysis of Internet Blogs. Journal of Medical Internet Research 2012;14(1):e17
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  55. Eriksson M. On-line Strategic Crisis Communication: In Search of a Descriptive Model Approach. International Journal of Strategic Communication 2012;6(4):309
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  56. van Velsen L, van Gemert-Pijnen JE, Beaujean DJ, Wentzel J, van Steenbergen JE. Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak. Journal of Medical Internet Research 2012;14(6):e181
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  57. de Vries H, Logister M, Krekels G, Klaasse F, Servranckx V, van Osch L. Internet based Computer Tailored Feedback on Sunscreen Use. Journal of Medical Internet Research 2012;14(2):e48
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  58. Choi BCK. The Past, Present, and Future of Public Health Surveillance. Scientifica 2012;2012:1
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  59. Meidani Z, Sadoughi F, Ahmadi M, Maleki MR, Zohoor A, Saddik B. National Health Information Infrastructure Model: A Milestone for Health Information Management Education Realignment. Telemedicine and e-Health 2012;18(6):475
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  60. Kim S, Pinkerton T, Ganesh N. Assessment of H1N1 questions and answers posted on the Web. American Journal of Infection Control 2012;40(3):211
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  61. Zheluk A, Gillespie JA, Quinn C. Searching for Truth: Internet Search Patterns as a Method of Investigating Online Responses to a Russian Illicit Drug Policy Debate. Journal of Medical Internet Research 2012;14(6):e165
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  62. Barker K. Infectious Insecurities: H1N1 and the politics of emerging infectious disease. Health & Place 2012;18(4):695
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  63. Wu SJ, Raghupathi W. A Panel Analysis of the Strategic Association Between Information and Communication Technology and Public Health Delivery. Journal of Medical Internet Research 2012;14(5):e147
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  64. Oehler RL. An Overview of Social Media in the Practice of Infectious Diseases. Infectious Diseases in Clinical Practice 2012;20(6):370
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  65. Neumark Y, Flum L, Lopez-Quintero C, Shtarkshall R. Quality of online health information about oral contraceptives from Hebrew-language websites. Israel Journal of Health Policy Research 2012;1(1):38
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  66. Fisher J, Clayton M. Who Gives a Tweet: Assessing Patients’ Interest in the Use of Social Media for Health Care. Worldviews on Evidence-Based Nursing 2012;9(2):100
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  67. Burton SH, Tanner KW, Giraud-Carrier CG. Leveraging social networks for anytime-anyplace health information. Network Modeling Analysis in Health Informatics and Bioinformatics 2012;1(4):173
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  68. Nerlich B, Koteyko N. Crying wolf? Biosecurity and metacommunication in the context of the 2009 swine flu pandemic. Health & Place 2012;18(4):710
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  69. Johansen MA, Henriksen E, Horsch A, Schuster T, Berntsen GKR. Electronic Symptom Reporting Between Patient and Provider for Improved Health Care Service Quality: A Systematic Review of Randomized Controlled Trials. Part 1: State of the Art. Journal of Medical Internet Research 2012;14(5):e118
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  70. Ayers JW, Althouse BM, Allem J, Ford DE, Ribisl KM, Cohen JE. A Novel Evaluation of World No Tobacco Day in Latin America. Journal of Medical Internet Research 2012;14(3):e77
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  71. Burton SH, Tanner KW, Giraud-Carrier CG, West JH, Barnes MD. "Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information. Journal of Medical Internet Research 2012;14(6):e156
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  72. Eysenbach G. Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact. Journal of Medical Internet Research 2011;13(4):e123
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  73. Hill S, Mao J, Ungar L, Hennessy S, Leonard CE, Holmes J. Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet. Journal of Medical Internet Research 2011;13(2):e36
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  74. Lau AY, Kwok TMY, Coiera E. How Online Crowds Influence the Way Individual Consumers Answer Health Questions. Applied Clinical Informatics 2011;2(2):177
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  75. Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. Journal of Medical Internet Research 2011;13(1):e15
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  76. Jones R, Sharkey S, Smithson J, Ford T, Emmens T, Hewis E, Sheaves B, Owens C. Using Metrics to Describe the Participative Stances of Members Within Discussion Forums. Journal of Medical Internet Research 2011;13(1):e3
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  79. Ripberger JT. Capturing Curiosity: Using Internet Search Trends to Measure Public Attentiveness. Policy Studies Journal 2011;39(2):239
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  80. Bekhuis T, Kreinacke M, Spallek H, Song M, O'Donnell JA. Using Natural Language Processing to Enable In-depth Analysis of Clinical Messages Posted to an Internet Mailing List: A Feasibility Study. Journal of Medical Internet Research 2011;13(4):e98
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1157)

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  1. Chapman LE, Tyson JN. Concepts and Methods in Infectious Disease Surveillance. 2014. :161
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  2. Murphy J, Dean E, Hill CA, Richards A. Health Survey Methods. 2014. :315
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  3. French M, Mykhalovskiy E. Pandemics and Emerging Infectious Diseases. 2013. :8
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  4. Kim A, Murphy J, Richards A, Hansen H, Powell R, Haney C. Social Media, Sociality, and Survey Research. 2013. :61
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  5. Pavlin JA. Infectious Disease Surveillance. 2013. :470
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  6. Cartwright L. The International Encyclopedia of Media Studies. 2012.
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