Burden of neurological diseases in the US revealed by web searches

Background Analyzing the disease-related web searches of Internet users provides insight into the interests of the general population as well as the healthcare industry, which can be used to shape health care policies. Methods We analyzed the searches related to neurological diseases and drugs used in neurology using the most popular search engines in the US, Google and Bing/Yahoo. Results We found that the most frequently searched diseases were common diseases such as dementia or Attention Deficit/Hyperactivity Disorder (ADHD), as well as medium frequency diseases with high social impact such as Parkinson’s disease, MS and ALS. The most frequently searched CNS drugs were generic drugs used for pain, followed by sleep disorders, dementia, ADHD, stroke and Parkinson’s disease. Regarding the interests of the healthcare industry, ADHD, Alzheimer’s disease, MS, ALS, meningitis, and hypersomnia received the higher advertising bids for neurological diseases, while painkillers and drugs for neuropathic pain, drugs for dementia or insomnia, and triptans had the highest advertising bidding prices. Conclusions Web searches reflect the interest of people and the healthcare industry, and are based either on the frequency or social impact of the disease.

[1]  Nigam H. Shah,et al.  Predicting hospital visits from geo-tagged Internet search logs , 2016, CRI.

[2]  J. Burke,et al.  Medicare Part D payments for neurologist-prescribed drugs , 2016, Neurology.

[3]  Roberta Lanzillo,et al.  Google Trends: new evidence for seasonality of multiple sclerosis , 2016, Journal of Neurology, Neurosurgery & Psychiatry.

[4]  Roberto Erro,et al.  Why do people google movement disorders? An infodemiological study of information seeking behaviors , 2016, Neurological Sciences.

[5]  Francesco Brigo Impact of news of celebrity illness on online search behavior: the 'Robin Williams' phenomenon'. , 2015, Journal of public health.

[6]  Eugen Trinka,et al.  Google search behavior for status epilepticus , 2015, Epilepsy & Behavior.

[7]  W. Otte,et al.  Wikipedia and neurological disorders , 2015, Journal of Clinical Neuroscience.

[8]  Paolo Curatolo,et al.  Use of the DISCERN tool for evaluating web searches in childhood epilepsy , 2014, Epilepsy & Behavior.

[9]  Paolo Confalonieri,et al.  Web Search Behavior and Information Needs of People With Multiple Sclerosis: Focus Group Study and Analysis of Online Postings , 2014, Interactive journal of medical research.

[10]  Francesco Brigo,et al.  Web search behavior for multiple sclerosis: An infodemiological study. , 2014, Multiple sclerosis and related disorders.

[11]  Eugen Trinka,et al.  Why do people Google epilepsy? An infodemiological study of online behavior for epilepsy-related search terms , 2014, Epilepsy & Behavior.

[12]  Josemir W. Sander,et al.  Web-search trends shed light on the nature of lunacy: Relationship between moon phases and epilepsy information-seeking behavior , 2013, Epilepsy & Behavior.

[13]  Ryen W. White,et al.  Web-scale pharmacovigilance: listening to signals from the crowd , 2013, J. Am. Medical Informatics Assoc..

[14]  G. Siskin,et al.  Internet-based social networking and its role in the evolution of chronic cerebrospinal venous insufficiency. , 2012, Techniques in vascular and interventional radiology.

[15]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[16]  Bernard J. Jansen,et al.  Sponsored search: an overview of the concept, history, and technology , 2008, Int. J. Electron. Bus..

[17]  D. Bergen,et al.  Read Neurological Disorders Public Health Challenges Neurological Disorders Public Health Challenges , 2017 .

[18]  Joav Merrick,et al.  Neurological Disorders: Public Health Challenges , 2007 .

[19]  Gunther Eysenbach,et al.  Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance , 2006, AMIA.