Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003

Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003

Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003

Journals

  1. Snyder C, Wu A, Miller R, Jensen R, Bantug E, Wolff A. The Role of Informatics in Promoting Patient-Centered Care. The Cancer Journal 2011;17(4):211 View
  2. Ripberger J. Capturing Curiosity: Using Internet Search Trends to Measure Public Attentiveness. Policy Studies Journal 2011;39(2):239 View
  3. Kim M, Koo P. A Study on Big Data Based Investment Strategy Using Internet Search Trends. Journal of the Korean Operations Research and Management Science Society 2013;38(4):53 View
  4. Passos J, Vasconcellos-Silva P, Santos L. Ciclos de atenção a dietas da moda e tendências de busca na internet pelo Google trends. Ciência & Saúde Coletiva 2020;25(7):2615 View
  5. Ling R, Lee J. 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. JMIR Public Health and Surveillance 2016;2(2):e156 View
  6. Gesualdo F, Stilo G, Agricola E, Gonfiantini M, Pandolfi E, Velardi P, Tozzi A, Cook A. Influenza-Like Illness Surveillance on Twitter through Automated Learning of Naïve Language. PLoS ONE 2013;8(12):e82489 View
  7. Williamson J, Hocken D. Assessing the internet prevalence of cancer. International Journal of Clinical Practice 2011;65(2):178 View
  8. Singh P, Wight C, Sercinoglu O, Wilson D, Boytsov A, Raizada M. Language Preferences on Websites and in Google Searches for Human Health and Food Information. Journal of Medical Internet Research 2007;9(2):e18 View
  9. Goel S, Hofman J, Lahaie S, Pennock D, Watts D. Predicting consumer behavior with Web search. Proceedings of the National Academy of Sciences 2010;107(41):17486 View
  10. Wang J, Xiao N, Rao H. Drivers of information security search behavior: An investigation of network attacks and vulnerability disclosures. ACM Transactions on Management Information Systems 2010;1(1):1 View
  11. Evans W. BIBLIOGRAPHY. Health Communication 2006;19(3):277 View
  12. Santin O, Mills M, Treanor C, McDonald G, Donnelly M. Web Psychosocial Surveys in Cancer Survivorship—A Methodological Note. Journal of Psychosocial Oncology 2013;31(5):556 View
  13. Ayers J, Ribisl K, Brownstein J, Carr J. Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase. PLoS ONE 2011;6(3):e16777 View
  14. Rada R. Retractions, press releases and newspaper coverage. Health Information & Libraries Journal 2007;24(3):210 View
  15. Jensen J, Carcioppolo N, King A, Bernat J, Davis L, Yale R, Smith J. Including Limitations in News Coverage of Cancer Research: Effects of News Hedging on Fatalism, Medical Skepticism, Patient Trust, and Backlash. Journal of Health Communication 2011;16(5):486 View
  16. Han S, Ko Y, Kim J, Hong T. Housing Market Trend Forecasts through Statistical Comparisons based on Big Data Analytic Methods. Journal of Management in Engineering 2018;34(2) View
  17. Phillips C, Hunt A, Salvesen‐Quinn M, Guerra J, Schapira M, Bailey L, Merchant R. Health‐related Google searches performed by parents of pediatric oncology patients. Pediatric Blood & Cancer 2019;66(8) View
  18. Bach R, Wenz A, Borsci S. Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE 2020;15(6):e0234663 View
  19. Phelan N, Kelly J, Kenny P. The effect of the metal-on-metal hip controversy on Internet search activity. European Journal of Orthopaedic Surgery & Traumatology 2014;24(7):1203 View
  20. Metcalfe D, Price C, Powell J. Media coverage and public reaction to a celebrity cancer diagnosis. Journal of Public Health 2011;33(1):80 View
  21. TORUN N. ELEKTRONİK SİGARA TERCİHİNE ETKİ EDEN FAKTÖRLERİN POPÜLERLİK ANALİZİ. Süleyman Demirel Üniversitesi Vizyoner Dergisi 2020;11(27):455 View
  22. HANDFIELD B, TURNBULL S, BELL R. What do obstetricians think about media influences on their patients?. Australian and New Zealand Journal of Obstetrics and Gynaecology 2006;46(5):379 View
  23. Aouadi A, Arouri M, Roubaud D. Information demand and stock market liquidity: International evidence. Economic Modelling 2018;70:194 View
  24. Jensen J, Pokharel M, Scherr C, King A, Brown N, Jones C. Communicating Uncertain Science to the Public: How Amount and Source of Uncertainty Impact Fatalism, Backlash, and Overload. Risk Analysis 2017;37(1):40 View
  25. Pithon M, Santos E. Information available on the internet about pain after orthognathic surgery: A careful review. Dental Press Journal of Orthodontics 2014;19(6):86 View
  26. Strzelecki A. Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?. International Journal of Environmental Research and Public Health 2020;17(4):1160 View
  27. Marcu A, Muller C, Ream E, Whitaker K. Online Information-Seeking About Potential Breast Cancer Symptoms: Capturing Online Behavior With an Internet Browsing Tracking Tool. Journal of Medical Internet Research 2019;21(2):e12400 View
  28. Voukelatou V, Gabrielli L, Miliou I, Cresci S, Sharma R, Tesconi M, Pappalardo L. Measuring objective and subjective well-being: dimensions and data sources. International Journal of Data Science and Analytics 2021;11(4):279 View
  29. Huang X, Baade P, Youlden D, Youl P, Hu W, Kimlin M. Google as a cancer control tool in Queensland. BMC Cancer 2017;17(1) View
  30. Foroughi F, Lam A, Lim M, Saremi N, Ahmadvand A. “Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States. JMIR Cancer 2016;2(1):e5 View
  31. Cousins H, Cousins C, Harris A, Pasquale L. Regional Infoveillance of COVID-19 Case Rates: Analysis of Search-Engine Query Patterns. Journal of Medical Internet Research 2020;22(7):e19483 View
  32. Beall A, Hofer M, Schaller M. Infections and Elections. Psychological Science 2016;27(5):595 View
  33. Abedi V, Mbaye M, Tsivgoulis G, Male S, Goyal N, Alexandrov A, Zand R. Internet-Based Information-Seeking Behavior for Transient Ischemic Attack. International Journal of Stroke 2015;10(8):1212 View
  34. 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
  35. Whitten P, Kreps G, Eastin M. Creating a Framework for Online Cancer Services Research to Facilitate Timely and Interdisciplinary Applications. Journal of Medical Internet Research 2005;7(3):e34 View
  36. Sadilek A, Hswen Y, Bavadekar S, Shekel T, Brownstein J, Gabrilovich E. Lymelight: forecasting Lyme disease risk using web search data. npj Digital Medicine 2020;3(1) View
  37. Ziakas P, Mylonakis E. Web search popularity, publicity, and utilization of direct oral anticoagulants in the United States, 2008–2018. Medicine 2020;99(19):e20005 View
  38. Zheluk A, Gillespie J, 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 View
  39. Friedman D, Tanner A. Reading Difficulty Level of Medical Resources on Television Web Sites. Journal of Consumer Health On the Internet 2007;11(4):43 View
  40. Signorini A, Segre A, Polgreen P, Galvani A. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic. PLoS ONE 2011;6(5):e19467 View
  41. Zhang Z, Zheng X, Zeng D, Leischow S. Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States. Journal of Medical Internet Research 2016;18(9):e252 View
  42. Cooper C, Gelb C, Chu J, Polonec L. Can Donated Media Placements Reach Intended Audiences?. Health Promotion Practice 2013;14(5):656 View
  43. Zhou X, Shen H. Notifiable infectious disease surveillance with data collected by search engine. Journal of Zhejiang University SCIENCE C 2010;11(4):241 View
  44. Yeung D. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94 View
  45. Ryu I, Lee J, Park G, Choi K, Hwang J. Analysis of Highway Traffic Indices Using Internet Search Data. Journal of Korean Society of Transportation 2015;33(1):14 View
  46. Polgreen P, Chen Y, Pennock D, Nelson F. Using Internet Searches for Influenza Surveillance. Clinical Infectious Diseases 2008;47(11):1443 View
  47. Cooper C, Gelb C, Hawkins N. How many “Get Screened” messages does it take? Evidence from colorectal cancer screening promotion in the United States, 2012. Preventive Medicine 2014;60:27 View
  48. Reed M, Ankouri K. Collective Perception and Exchange Rates. Journal of Behavioral Finance 2019;20(1):53 View
  49. Lee B. Epidemiologic Research and Web 2.0—the User-driven Web. Epidemiology 2010;21(6):760 View
  50. Wang W, Peng G. The Improvement of a Prediction Study of Transactions Based on E-Commerce Site Search Data. Applied Mechanics and Materials 2012;263-266:2738 View
  51. Ledford C, Willett K, Kreps G. Communicating Immunization Science: The Genesis and Evolution of the National Network for Immunization Information. Journal of Health Communication 2012;17(1):105 View
  52. Hurley R, Tewksbury D. News Aggregation and Content Differences in Online Cancer News. Journal of Broadcasting & Electronic Media 2012;56(1):132 View
  53. Purtle J, Roman L. Health Awareness Days: Sufficient Evidence to Support the Craze?. American Journal of Public Health 2015;105(6):1061 View
  54. Zhou X, Li Q, Zhu Z, Zhao H, Tang H, Feng Y. Monitoring Epidemic Alert Levels by Analyzing Internet Search Volume. IEEE Transactions on Biomedical Engineering 2013;60(2):446 View
  55. CHOI H, VARIAN H. Predicting the Present with Google Trends. Economic Record 2012;88(s1):2 View
  56. Jeon S, Chung Y, Lee D. The Relationship between Internet Search Volumes and Stock Price Changes: An Empirical Study on KOSDAQ Market. Journal of Intelligence and Information Systems 2016;22(2):81 View
  57. Chandukala S, Dotson J, Liu Q, Conrady S. Exploring the Relationship Between Online Search and Offline Sales for Better “Nowcasting”. Customer Needs and Solutions 2014;1(3):176 View
  58. Feinkohl I, Flemming D, Cress U, Kimmerle J. The Impact of Personality Factors and Preceding User Comments on the Processing of Research Findings on Deep Brain Stimulation: A Randomized Controlled Experiment in a Simulated Online Forum. Journal of Medical Internet Research 2016;18(3):e59 View
  59. Park S, Kim J. The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data. Renewable Energy 2018;127:1004 View
  60. Glynn R, Kelly J, Coffey N, Sweeney K, Kerin M. The effect of breast cancer awareness month on internet search activity - a comparison with awareness campaigns for lung and prostate cancer. BMC Cancer 2011;11(1) View
  61. Liang B, Scammon D. Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception. Journal of Medical Internet Research 2013;15(6):e114 View
  62. Laurent M, Vickers T. Seeking Health Information Online: Does Wikipedia Matter?. Journal of the American Medical Informatics Association 2009;16(4):471 View
  63. Ayers J, Althouse B, Allem J, Ford D, Ribisl K, Cohen J. A Novel Evaluation of World No Tobacco Day in Latin America. Journal of Medical Internet Research 2012;14(3):e77 View
  64. Vakrman T, Kristoufek L. Underpricing, underperformance and overreaction in initial public offerings: Evidence from investor attention using online searches. SpringerPlus 2015;4(1) View
  65. Ledford C. Content Analysis of Internet Marketing Strategies: How Pharmaceutical Companies Communicate about Contraceptives with Consumers Online. Social Marketing Quarterly 2009;15(1_suppl):55 View
  66. Hulth A, Rydevik G. GET WELL: an automated surveillance system for gaining new epidemiological knowledge. BMC Public Health 2011;11(1) View
  67. 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
  68. Yang J, Min D, Kim J. The Use of Big Data and Its Effects in a Diffusion Forecasting Model for Korean Reverse Mortgage Subscribers. Sustainability 2020;12(3):979 View
  69. Seth D, Gittleman H, Barnholtz-Sloan J, Bordeaux J. Association of Socioeconomic and Geographic Factors With Google Trends for Tanning and Sunscreen. Dermatologic Surgery 2018;44(2):236 View
  70. Eysenbach G. Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet. Journal of Medical Internet Research 2009;11(1):e11 View
  71. Jimenez A, Santed-Germán M, Ramos V. Google Searches and Suicide Rates in Spain, 2004-2013: Correlation Study. JMIR Public Health and Surveillance 2020;6(2):e10919 View
  72. Vernon E, Gottesman Z, Warren R. The value of health awareness days, weeks and months: A systematic review. Social Science & Medicine 2021;268:113553 View
  73. Johnson B, Shepard S, Torgeson T, Johnson A, McMurray M, Vassar M. Using Google Trends and Twitter for Prostate Cancer Awareness: A Comparative Analysis of Prostate Cancer Awareness Month and Breast Cancer Awareness Month. Cureus 2021 View
  74. Ni D, Li X, Xiao Z, Gong K, He L. The Power of Words: A Study of How Search Contents Can Affect Financial Decisions. Discrete Dynamics in Nature and Society 2020;2020:1 View
  75. Ene A. Distance Education in Romanian Higher Education. HOLISTICA – Journal of Business and Public Administration 2018;9(1):65 View
  76. Popescu M. Modelling prediction of unemployment statistics using web technologies. HOLISTICA – Journal of Business and Public Administration 2017;8(3):55 View
  77. Mangono T, Smittenaar P, Caplan Y, Huang V, Sutermaster S, Kemp H, Sgaier S. Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data. Journal of Medical Internet Research 2021;23(5):e22933 View
  78. Xu R, Brown P, Baxter N, Sawka A. Online Public Interest in Cancer During the COVID-19 Pandemic. JCO Clinical Cancer Informatics 2021;(5):695 View
  79. Cao M, Guan T, Han X, Shen B, Chao B, Liu Y. Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data. BMJ Open 2021;11(12):e054463 View
  80. Ming W, Huang F, Chen Q, Liang B, Jiao A, Liu T, Wu H, Akinwunmi B, Li J, Liu G, Zhang C, Huang J, Liu Q. Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries. JMIR Public Health and Surveillance 2021;7(12):e26644 View
  81. Turner P, Rushby T, Gauthier S, James P, Bahaj A, Aragon V, Sweetnam T, Ellis D. An Online ‘Face to Face’ Focus Group Approach for Understanding How Household Energy Use and Green Investment Decisions Differ by Personality Traits. International Journal of Qualitative Methods 2021;20 View
  82. Turvy A. State-Level COVID-19 Symptom Searches and Case Data: Quantitative Analysis of Political Affiliation as a Predictor for Lag Time Using Google Trends and Centers for Disease Control and Prevention Data. JMIR Formative Research 2022;6(12):e40825 View
  83. Richman J, Roberts R. Assessing Spurious Correlations in Big Search Data. Forecasting 2023;5(1):285 View
  84. Ziakas P, Mylonakis E, Lai Y. Public interest trends for Covid-19 and alignment with the disease trajectory: A time-series analysis of national-level data. PLOS Digital Health 2023;2(6):e0000271 View
  85. Fu Y, Cai Z, Fang C. Hotspot Identification and Causal Analysis of Chinese Rural Tourism at Different Spatial and Temporal Scales Based on Tourism Big Data. Sustainability 2024;16(3):1165 View
  86. Ziakas P, Mylonakis E, Lai Y. Public interest trends for COVID-19 and pandemic trajectory: A time-series analysis of US state-level data. PLOS Digital Health 2024;3(3):e0000462 View
  87. Konfortion J, Jack R, Davies E. Coverage of common cancer types in UK national newspapers: a content analysis. BMJ Open 2014;4(7):e004677 View
  88. Ayala M, Gonzálvez-Gallego N, Arteaga-Sánchez R. Google search volume index and investor attention in stock market: a systematic review. Financial Innovation 2024;10(1) View