Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context
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[1] Ś. Sen,et al. Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States. , 2011, Urology.
[2] M. Benoist,et al. Whiplash: myth or reality? , 2002, Joint, bone, spine : revue du rhumatisme.
[3] J. Brownstein,et al. Digital disease detection--harnessing the Web for public health surveillance. , 2009, The New England journal of medicine.
[4] W. Castro,et al. No stress--no whiplash? Prevalence of "whiplash" symptoms following exposure to a placebo rear-end collision. , 2001, International journal of legal medicine.
[5] Yanchun Liang,et al. Using Internet Search Engines to Obtain Medical Information: A Comparative Study , 2012, Journal of medical Internet research.
[6] Cécile Viboud,et al. Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales , 2013, PLoS Comput. Biol..
[7] Liwen Vaughan,et al. Webometrics , 2005, Annu. Rev. Inf. Sci. Technol..
[8] Eli Pariser. The Filter Bubble: How the New Personalized Web Is Changing What We Read and How We Think , 2012 .
[9] J. R. Ferrari,et al. The Whiplash Encyclopedia: The Facts and Myths of Whiplash , 1999 .
[10] A. Mykletun,et al. Symptom profile of persons self-reporting whiplash: a Norwegian population-based study (HUNT 2) , 2009, European Spine Journal.
[11] C. Lahmann,et al. Schleudertrauma und Werther-Effekt – das Potenzial von Google Insights for Search für die medizinische Forschung und öffentliche Gesundheit , 2011 .
[12] J. Olesen,et al. The economic cost of brain disorders in Europe , 2012, European journal of neurology.
[13] D. Goulis,et al. Gabapentin and pregabalin in the treatment of fibromyalgia: a systematic review and a meta‐analysis , 2010, Journal of clinical pharmacy and therapeutics.
[14] B. Mednick,et al. Cross-cultural differences in children's concepts of health and illness. , 1997, Revista de saude publica.
[15] N. Christakis,et al. Social Network Sensors for Early Detection of Contagious Outbreaks , 2010, PloS one.
[16] N. Foster,et al. A Cross-Sectional Survey of the Quality of Web-Based Information on Low Back Pain , 2003 .
[17] Prof. Dr. P. Marx. Begutachtung von Beschleunigungsverletzungen der Halswirbelsäule , 2011, Der Nervenarzt.
[18] Gunther Eysenbach,et al. Infodemiology and infoveillance tracking online health information and cyberbehavior for public health. , 2011, American journal of preventive medicine.
[19] Timmo Janitzek,et al. Reining in Whiplash: Better Protection for Europe's Car Occupants , 2007 .
[20] G Eysenbach,et al. Patients looking for information on the Internet and seeking teleadvice: motivation, expectations, and misconceptions as expressed in e-mails sent to physicians. , 1999, Archives of dermatology.
[21] Gunther Eysenbach,et al. Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance , 2006, AMIA.
[22] G. Eysenbach,et al. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.
[23] John Quinn,et al. Surfing the Net for medical information aboutpsychological trauma: An empirical study of thequality and accuracy of trauma-related websites , 2006, Medical informatics and the Internet in medicine.
[24] B. Breyer,et al. Use of Google in study of noninfectious medical conditions. , 2010, Epidemiology.
[25] Michael T Haneline,et al. The notion of a "whiplash culture": a review of the evidence. , 2009, Journal of chiropractic medicine.
[26] J. Friel,et al. A new strategy to support the "chronic injury" model of whiplash: ignore Lithuania. , 2002, Medical science monitor : international medical journal of experimental and clinical research.
[27] G. de Girolamo. Epidemiology and Social Costs of Low Back Pain and Fibromyalgia , 1991, The Clinical journal of pain.
[28] Guy Chappuis,et al. Number and cost of claims linked to minor cervical trauma in Europe: results from the comparative study by CEA, AREDOC and CEREDOC , 2008, European Spine Journal.
[29] M. Hallett,et al. Movement disorders on YouTube--caveat spectator. , 2011, The New England journal of medicine.
[30] Declan Butler,et al. When Google got flu wrong , 2013, Nature.
[31] D. Metcalfe,et al. Media coverage and public reaction to a celebrity cancer diagnosis. , 2011, Journal of public health.
[32] G. Tobón,et al. The environment, geo-epidemiology, and autoimmune disease: Rheumatoid arthritis. , 2010, Journal of autoimmunity.
[33] John S. Brownstein,et al. Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time , 2014, PLoS Comput. Biol..
[34] R. Ferrari,et al. Laypersons' expectation of the sequelae of whiplash injury: a cross-cultural comparative study between Canada and Greece. , 2003, Medical science monitor : international medical journal of experimental and clinical research.
[35] W. Wallace,et al. Incidence of Distal Forearm Fracture in British Men and Women , 2001, Osteoporosis International.
[36] Bernard J. Jansen,et al. Search log analysis: What it is, what's been done, how to do it , 2006 .
[37] L. Stovner,et al. [Doubtful nosological validity of the chronic whiplash syndrome]. , 2012, Der Orthopade.
[38] D. Fishbain,et al. Secondary Gain Concept: A Review of the Scientific Evidence , 1995, The Clinical journal of pain.
[39] Matthew Mohebbi,et al. Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic , 2011, PloS one.
[40] Kate Muse,et al. Cyberchondriasis: fact or fiction? A preliminary examination of the relationship between health anxiety and searching for health information on the Internet. , 2012, Journal of anxiety disorders.
[41] G. Fava,et al. Information Overload, the Patient and the Clinician , 2006, Psychotherapy and Psychosomatics.
[42] Libby N Brockman,et al. Associations between displayed alcohol references on Facebook and problem drinking among college students. , 2012, Archives of pediatrics & adolescent medicine.
[43] M. Raizada,et al. Language Preferences on Websites and in Google Searches for Human Health and Food Information , 2007, Journal of medical Internet research.
[44] Wei Luo,et al. Web search activity data accurately predict population chronic disease risk in the USA , 2015, Journal of Epidemiology & Community Health.
[45] M. Nordin,et al. The Burden and Determinants of Neck Pain in Whiplash-Associated Disorders After Traffic Collisions: Results of the Bone and Joint Decade 2000–2010 Task Force on Neck Pain and Its Associated Disorders , 2008, Spine.
[46] J. Kopec,et al. Delayed recovery in patients with whiplash-associated disorders. , 2012, Injury.
[47] D Otte,et al. Upper extremity fractures in restrained front-seat occupants. , 2000, The Journal of trauma.
[48] Privacy and medical information on the Internet. , 2006, Respiratory care.
[49] K. Jaracz,et al. Unexplained Painful Physical Symptoms in Patients with Major Depressive Disorder: Prevalence, Pathophysiology and Management , 2016, CNS Drugs.
[50] R. Ferrari,et al. The best approach to the problem of whiplash? One ticket to Lithuania, please. , 1999, Clinical and experimental rheumatology.
[51] Matthew S. Eastin,et al. Worried and Wired: Effects of Health Anxiety on Information-Seeking and Health Care Utilization Behaviors , 2006, Cyberpsychology Behav. Soc. Netw..
[52] D. Clauw,et al. Predicting chronic symptoms after an acute "stressor"--lessons learned from 3 medical conditions. , 2004, Medical hypotheses.
[53] D. Obelieniene,et al. Pain after whiplash: a prospective controlled inception cohort study , 1999, Journal of neurology, neurosurgery, and psychiatry.
[54] Stefan Krause,et al. Swarm intelligence in animals and humans. , 2010, Trends in ecology & evolution.
[55] R. Ferrari,et al. Correlation of clinical findings, collision parameters, and psychological factors in the outcome of whiplash associated disorders , 2004, Journal of Neurology, Neurosurgery & Psychiatry.
[56] G. Eysenbach. Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet , 2009, Journal of medical Internet research.
[57] R. Ferrari,et al. From railway spine to whiplash--the recycling of nervous irritation. , 2003, Medical science monitor : international medical journal of experimental and clinical research.
[58] D. Mickevičienė,et al. Natural evolution of late whiplash syndrome outside the medicolegal context , 1996, The Lancet.
[59] C. Court-Brown,et al. The epidemiology of acute sports-related fractures in adults. , 2008, Injury.
[60] Camille Pelat,et al. A Method to Assess Seasonality of Urinary Tract Infections Based on Medication Sales and Google Trends , 2013, PloS one.
[61] M. De Hert,et al. Cost of disorders of the brain in Europe. , 2006, European journal of neurology.
[62] D. Cummings,et al. Prediction of Dengue Incidence Using Search Query Surveillance , 2011, PLoS neglected tropical diseases.
[63] J. Pearce,et al. Whiplash injury: a reappraisal. , 1989, Journal of neurology, neurosurgery, and psychiatry.
[64] R. Ferrari,et al. A prospective cohort study of the outcome of acute whiplash injury in Greece. , 2000, Clinical and experimental rheumatology.
[65] M. Makela,et al. Prevalence of primary fibromyalgia in the Finnish population. , 1991, BMJ.
[66] H L Hamburger,et al. Cognitive complaints in patients after whiplash injury: the impact of malingering , 1998, Journal of neurology, neurosurgery, and psychiatry.
[67] S. A. Iverson,et al. Impact of Internet Use on Health-Related Behaviors and the Patient-Physician Relationship: A Survey-Based Study and Review , 2008, The Journal of the American Osteopathic Association.
[68] R. Shanmugam. Introduction to Time Series and Forecasting , 1997 .
[69] Michael J. Paul,et al. Twitter Improves Influenza Forecasting , 2014, PLoS currents.
[70] Ying Chen,et al. IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research. , 2016, Clinical therapeutics.
[71] Armin R Mikler,et al. Using Web and Social Media for Influenza Surveillance , 2010, Advances in experimental medicine and biology.
[72] Nadine E Foster,et al. Back Pain Online: A Cross-Sectional Survey of the Quality of Web-Based Information on Low Back Pain , 2003, Spine.
[73] P. Cuijpers,et al. Do Compensation Processes Impair Mental Health? A Meta-Analysis , 2010, Injury.
[74] W. Castro,et al. No stress – no whiplash? , 2001, International Journal of Legal Medicine.
[75] L. Engelen,et al. Definition of Health 2.0 and Medicine 2.0: A Systematic Review , 2010, Journal of medical Internet research.
[76] Jae Ho Lee,et al. Correlation between National Influenza Surveillance Data and Google Trends in South Korea , 2013, PloS one.
[77] Joon Lee,et al. Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study , 2016, JMIR public health and surveillance.
[78] Paul W Thompson,et al. The annual incidence and seasonal variation of fractures of the distal radius in men and women over 25 years in Dorset, UK. , 2004, Injury.
[79] J. Branco,et al. Prevalence of fibromyalgia: a survey in five European countries. , 2010, Seminars in arthritis and rheumatism.
[80] C. Peng,et al. Do Seasons Have an Influence on the Incidence of Depression? The Use of an Internet Search Engine Query Data as a Proxy of Human Affect , 2010, PloS one.
[81] A. Levy,et al. Geographic trends in incidence of hip fractures: a comprehensive literature review , 2011, Osteoporosis International.
[82] S. Nuti,et al. The Use of Google Trends in Health Care Research: A Systematic Review , 2014, PloS one.
[83] Shawndra Hill,et al. Using Twitter to Measure Public Discussion of Diseases: A Case Study , 2015, JMIR public health and surveillance.
[84] A. Silman,et al. Predictors of persistent neck pain after whiplash injury , 2006, Emergency Medicine Journal.
[85] C. Chronaki,et al. Informed citizen and empowered citizen in health: results from an European survey , 2011, BMC family practice.
[86] C. Goss,et al. Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends , 2011, PloS one.
[87] L. Stovner,et al. Prevalence of headache in Europe: a review for the Eurolight project , 2010, The Journal of Headache and Pain.
[88] Michael Cross,et al. How the internet is changing health care , 2008, BMJ : British Medical Journal.
[89] Yossi Matias,et al. On the Predictability of Search Trends , 2009 .
[90] G. Eysenbach. Infodemiology: The epidemiology of (mis)information. , 2002, The American journal of medicine.
[91] Paul C. Tang,et al. Democratization of Health Care. , 2016, JAMA.
[92] N. Heaivilin,et al. Public Health Surveillance of Dental Pain via Twitter , 2011, Journal of dental research.
[93] P. A. Blight. The Analysis of Time Series: An Introduction , 1991 .
[94] Eli Pariser. FILTER BUBBLE: Wie wir im Internet entmündigt werden , 2012 .
[95] Alexander Domnich,et al. Age-Related Differences in the Accuracy of Web Query-Based Predictions of Influenza-Like Illness , 2015, PloS one.
[96] R. Ferrari,et al. An examination of coping styles and expectations for whiplash injury in Germany: comparison with Canadian data , 2011, Clinical Rheumatology.
[97] M. Nordin,et al. Treatment of neck pain: noninvasive interventions: results of the Bone and Joint Decade 2000-2010 Task Force on Neck Pain and Its Associated Disorders. , 2009, Journal of manipulative and physiological therapeutics.
[98] Joshua M. Pearce,et al. The late whiplash syndrome: a biopsychosocial approach , 2001, Journal of neurology, neurosurgery, and psychiatry.
[99] Johan Bollen,et al. Computational Models of Consumer Confidence from Large-Scale Online Attention Data: Crowd-Sourcing Econometrics , 2014, PloS one.
[100] Dallas Snider,et al. IBM Watson Analytics: Automating Visualization, Descriptive, and Predictive Statistics , 2016, JMIR public health and surveillance.
[101] T. V. D. van der Cammen,et al. The Epidemic of Hip Fractures: Are We on the Right Track? , 2011, PloS one.
[102] G. Bannister,et al. Whiplash injury. , 2009, The Journal of bone and joint surgery. British volume.
[103] Å. Nygren,et al. Effect of eliminating compensation for pain and suffering on the outcome of insurance claims for whiplash injury. , 2000, The New England journal of medicine.
[104] Marc Hermeking,et al. Culture and Internet Consumption: Contributions from Cross-Cultural Marketing and Advertising Research , 2005, J. Comput. Mediat. Commun..
[105] Anthony F Jorm,et al. Stigma and mood disorders , 2007, Current opinion in psychiatry.
[106] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[107] J. Os,et al. The size and burden of mental disorders and other disorders of the brain in Europe 2010 , 2011, European Neuropsychopharmacology.
[108] D. Buskila,et al. Epidemiology of fibromyalgia , 2003, Current pain and headache reports.
[109] Gunther Eysenbach,et al. The FA4CT Algorithm: A New Model and Tool for Consumers to Assess and Filter Health Information on the Internet , 2007, MedInfo.
[110] T. Bernardo,et al. Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation , 2013, Journal of medical Internet research.
[111] S. Rutherford,et al. Using Google Trends for Influenza Surveillance in South China , 2013, PloS one.
[112] J. Os,et al. Cost of disorders of the brain in Europe 2010 , 2011, European Neuropsychopharmacology.
[113] O. Airaksinen,et al. Whiplash injuries in Finland: a prospective 1-year follow-up study. , 2002, Clinical and experimental rheumatology.