Published on in Vol 5, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at, first published .
Google Trends in Infodemiology and Infoveillance: Methodology Framework

Google Trends in Infodemiology and Infoveillance: Methodology Framework

Google Trends in Infodemiology and Infoveillance: Methodology Framework

Authors of this article:

Amaryllis Mavragani1 Author Orcid Image ;   Gabriela Ochoa1 Author Orcid Image


  1. Ding D, del Pozo Cruz B, Green M, Bauman A. Is the COVID-19 lockdown nudging people to be more active: a big data analysis. British Journal of Sports Medicine 2020;54(20):1183 View
  2. Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Research Protocols 2020;9(7):e16543 View
  3. Muzumdar S, Petriceks A, Hales H, Feng H. Evaluation of public interest in hair removal techniques using Google trends data. Journal of Dermatological Treatment 2022;33(2):1191 View
  4. Wang Y, Zhang H, Zheng Q, Tang K, Sun Q. Public interest in Raynaud's phenomenon: A Google Trends analysis. Dermatologic Therapy 2020;33(6) View
  5. Ganasegeran K, Ch’ng A, Aziz Z, Looi I. Population’s health information-seeking behaviors and geographic variations of stroke in Malaysia: an ecological correlation and time series study. Scientific Reports 2020;10(1) View
  6. Syamsuddin M, Fakhruddin M, Sahetapy-Engel J, Soewono E. Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(7):e17633 View
  7. Mavragani A, Gkillas K, Tsagarakis K. Predictability analysis of the Pound’s Brexit exchange rates based on Google Trends data. Journal of Big Data 2020;7(1) View
  8. Wu G, Cao F, Shen H, Hu L, Hu Y, Sam N. Global public interest in systemic lupus erythematosus: an investigation based on internet search data. Lupus 2019;28(12):1435 View
  9. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  10. Havelka E, Mallen C, Shepherd T. Using Google Trends to assess the impact of global public health days on online health information seeking behaviour in Central and South America. Journal of Global Health 2020;10(1) View
  11. Kawchuk G, Hartvigsen J, Innes S, Simpson J, Gushaty B. The use of internet analytics by a Canadian provincial chiropractic regulator to monitor, evaluate and remediate misleading claims regarding specific health conditions, pregnancy, and COVID-19. Chiropractic & Manual Therapies 2020;28(1) View
  12. Chew A, Ong R, Lei H, Rajendram M, K V G, Verma S, Fung D, Leong J, Gunasekeran D. Digital Health Solutions for Mental Health Disorders During COVID-19. Frontiers in Psychiatry 2020;11 View
  13. Iglesia E, Stone C, Flaherty M, Commins S. Regional and temporal awareness of alpha-gal allergy: An infodemiological analysis using Google Trends. The Journal of Allergy and Clinical Immunology: In Practice 2020;8(5):1725 View
  14. Mavragani A. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance 2020;6(2):e18941 View
  15. Strzelecki A, Azevedo A, Albuquerque A. Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal. Healthcare 2020;8(3):203 View
  16. Caputi T, Ayers J, Dredze M, Suplina N, Burd-Sharps S. Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19369 View
  17. Effenberger M, Kronbichler A, Shin J, Mayer G, Tilg H, Perco P. Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis. International Journal of Infectious Diseases 2020;95:192 View
  18. Hartnett K, Kite-Powell A, Patel M, Haag B, Sheppard M, Dias T, King B, Melstrom P, Ritchey M, Stein Z, Idaikkadar N, Vivolo-Kantor A, Rose D, Briss P, Layden J, Rodgers L, Adjemian J. Syndromic Surveillance for E-Cigarette, or Vaping, Product Use–Associated Lung Injury. New England Journal of Medicine 2020;382(8):766 View
  19. Arshad Ali S, Bin Arif T, Maab H, Baloch M, Manazir S, Jawed F, Ochani R. Global Interest in Telehealth During COVID-19 Pandemic: An Analysis of Google Trends™. Cureus 2020 View
  20. Choi Y, Kim Y, Chung J, Kim K, Kim H, Park R, Park D. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Medical Informatics 2020;8(4):e15124 View
  21. Rovetta A, Bhagavathula A. COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study. JMIR Public Health and Surveillance 2020;6(2):e19374 View
  22. Gesualdo F, Marino F, Mantero J, Spadoni A, Sambucini L, Quaglia G, Rizzo C, Sahinovic I, Zuber P, Tozzi A. The use of web analytics combined with other data streams for tailoring online vaccine safety information at global level: The Vaccine Safety Net’s web analytics project. Vaccine 2020;38(41):6418 View
  23. Sousa-Pinto B, Anto A, Czarlewski W, Anto J, Fonseca J, Bousquet J. Assessment of the Impact of Media Coverage on COVID-19–Related Google Trends Data: Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e19611 View
  25. Husnayain A, Shim E, Fuad A, Su E. Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study. Journal of Medical Internet Research 2020;22(9):e19788 View
  26. Raubenheimer J, Riordan B, Merrill J, Winter T, Ward R, Scarf D, Buckley N. Hey Google! will New Zealand vote to legalise cannabis? Using Google Trends data to predict the outcome of the 2020 New Zealand cannabis referendum. International Journal of Drug Policy 2021;90:103083 View
  27. Xu Q, Shen Z, Shah N, Cuomo R, Cai M, Brown M, Li J, Mackey T. Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e24125 View
  28. Zieger M, Springer S. Thylacine and Tasmanian devil: between hope and reality – a lesson to be learnt from Google Trends search data. Australian Journal of Zoology 2019;67(4):221 View
  29. Kardeş S, Erdem A, Gürdal H. Public interest in musculoskeletal symptoms and disorders during the COVID-19 pandemic. Zeitschrift für Rheumatologie 2022;81(3):247 View
  30. Schnoell J, Besser G, Jank B, Bartosik T, Parzefall T, Riss D, Mueller C, Liu D. The association between COVID-19 cases and deaths and web-based public inquiries. Infectious Diseases 2021;53(3):176 View
  31. Anastasiou M, Pantavou K, Yiallourou A, Bonovas S, Nikolopoulos G. Trends of Online Search of COVID-19 Related Terms in Cyprus. Epidemiologia 2021;2(1):36 View
  32. Mirza E, Mirza G, Belviranli S, Oltulu R, Okka M. Ocular-symptoms-related Google Search Trends during the COVID-19 Pandemic in Europe. International Ophthalmology 2021;41(6):2213 View
  33. Dzaye O, Berning P, Adelhoefer S, Duebgen M, Blankstein R, Mahesh M, Nasir K, Blumenthal R, Mortensen M, Blaha M. Temporal Trends and Interest in Coronary Artery Calcium Scoring Over Time: An Infodemiology Study. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(2):456 View
  34. Adelhoefer S, Henry T, Blankstein R, Graham G, Blaha M, Dzaye O. Declining interest in clinical imaging during the COVID-19 pandemic: An analysis of Google Trends data. Clinical Imaging 2021;73:20 View
  35. Turk P, Tran T, Rose G, McWilliams A. A predictive internet-based model for COVID-19 hospitalization census. Scientific Reports 2021;11(1) View
  36. Kardeş S, Kuzu A, Pakhchanian H, Raiker R, Karagülle M. Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends. Clinical Rheumatology 2021;40(5):2047 View
  37. Szilagyi I, Ullrich T, Lang-Illievich K, Klivinyi C, Schittek G, Simonis H, Bornemann-Cimenti H. Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study. Journal of Medical Internet Research 2021;23(4):e27214 View
  38. Huynh Dagher S, Lamé G, Hubiche T, Ezzedine K, Duong T. The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms: Infodemiology Study. JMIR Public Health and Surveillance 2021;7(2):e25651 View
  39. Rokhmah D, Ali K, Putri S, Khoiron K. Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study. F1000Research 2021;9:1201 View
  40. Pat V, Kosisky S, Keswani A. Paging Dr Google. Annals of Allergy, Asthma & Immunology 2021;126(2):203 View
  41. Asgari Mehrabadi M, Dutt N, Rahmani A. The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends Analysis. JMIR Public Health and Surveillance 2021;7(4):e22880 View
  42. Çimke S, Yıldırım Gürkan D. Determination of interest in vitamin use during COVID-19 pandemic using Google Trends data: Infodemiology study. Nutrition 2021;85:111138 View
  43. Kardeş S. Public interest in spa therapy during the COVID-19 pandemic: analysis of Google Trends data among Turkey. International Journal of Biometeorology 2021;65(6):945 View
  44. Curtis D, Washburn T, Lee H, Smith K, Kim J, Martz C, Kramer M, Chae D. Highly public anti-Black violence is associated with poor mental health days for Black Americans. Proceedings of the National Academy of Sciences 2021;118(17) View
  45. Wong M, Gunasekeran D, Nusinovici S, Sabanayagam C, Yeo K, Cheng C, Tham Y. Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation. JMIR Public Health and Surveillance 2021;7(2):e24445 View
  46. Jimenez A, Estevez-Reboredo R, Santed M, Ramos V. COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study. Journal of Medical Internet Research 2020;22(12):e23518 View
  47. Liu W, Wei Z, Cheng X, Pang R, Zhang H, Li G. Public Interest in Cosmetic Surgical and Minimally Invasive Plastic Procedures During the COVID-19 Pandemic: Infodemiology Study of Twitter Data. Journal of Medical Internet Research 2021;23(3):e23970 View
  48. Mayo-Yáñez M, Calvo‑Henríquez C, Chiesa-Estomba C, Lechien J, González-Torres L. Google Trends application for the study of information search behaviour on oropharyngeal cancer in Spain. European Archives of Oto-Rhino-Laryngology 2021;278(7):2569 View
  49. Dzaye O, Adelhoefer S, Boakye E, Blaha M. Cardiovascular-related health behaviors and lifestyle during the COVID-19 pandemic: An infodemiology study. American Journal of Preventive Cardiology 2021;5:100148 View
  50. 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
  51. Rokhmah D, Ali K, Putri S, Khoiron K. Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study. F1000Research 2020;9:1201 View
  52. Saposnik F, Huber J. Trends in Web Searches About the Causes and Treatments of Autism Over the Past 15 Years: Exploratory Infodemiology Study. JMIR Pediatrics and Parenting 2020;3(2):e20913 View
  53. Sulyok M, Ferenci T, Walker M. Google Trends Data and COVID‐19 in Europe: Correlations and model enhancement are European wide. Transboundary and Emerging Diseases 2021;68(4):2610 View
  54. Burnett D, Eapen V, Lin P. Time Trends of the Public’s Attention Toward Suicide During the COVID-19 Pandemic: Retrospective, Longitudinal Time-Series Study. JMIR Public Health and Surveillance 2020;6(4):e24694 View
  55. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  56. Momynaliev K, Khoperskay L, Pshenichnaya N, Abuova G, Akimkin V. Infodemiological study of coronavirus epidemic using Google Trends in Central Asian Republics of Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan. Medical alphabet 2021;(34):47 View
  57. Pulido-Polo M, Hernández-Santaolalla V, Lozano-González A. Uso institucional de Twitter para combatir la infodemia causada por la crisis sanitaria de la Covid-19. El profesional de la información 2021 View
  58. Kardeş S, Kuzu A, Raiker R, Pakhchanian H, Karagülle M. Public interest in rheumatic diseases and rheumatologist in the United States during the COVID-19 pandemic: evidence from Google Trends. Rheumatology International 2021;41(2):329 View
  59. Zhang H, Wang Y, Zheng Q, Tang K, Fang R, Wang Y, Sun Q. Research Interest and Public Interest in Melanoma: A Bibliometric and Google Trends Analysis. Frontiers in Oncology 2021;11 View
  60. Alsancak Y, Gul M. A Google Trends Analysis: Change in internet searches related to cardiovascular disease during COVID-19 outbreak. Cor et Vasa 2020;62(6):583 View
  61. Singh S, Sharma P, Balhara Y. The impact of nationwide alcohol ban during the COVID‐19 lockdown on alcohol use‐related internet searches and behaviour in India: An infodemiology study. Drug and Alcohol Review 2021;40(2):196 View
  62. Zimmerman F, Anderson N. Association of the Timing of School Closings and Behavioral Changes With the Evolution of the Coronavirus Disease 2019 Pandemic in the US. JAMA Pediatrics 2021;175(5):501 View
  63. Sousa-Pinto B, Heffler E, Antó A, Czarlewski W, Bedbrook A, Gemicioglu B, Canonica G, Antó J, Fonseca J, Bousquet J. Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic. Clinical and Translational Allergy 2020;10(1) View
  64. Bellaire C, Rutland J, Sayegh F, Pesce R, Tijerina J, Taub P. Going Viral: A Systematic Review of Google Trends in Plastic Surgery and a Recommended Framework for Its Use. Aesthetic Surgery Journal 2021;41(12):NP2034 View
  65. Ortega J, Bernabé-Moreno J. Modelling the Degree of Emotional Concern: COVID-19 Response in Social Media. Applied Sciences 2021;11(9):3872 View
  66. Fang J, Zhang X, Tong Y, Xia Y, Liu H, Wu K. Baidu Index and COVID-19 Epidemic Forecast: Evidence From China. Frontiers in Public Health 2021;9 View
  67. Ho J, Hussain S, Sparagano O. Did the COVID-19 Pandemic Spark a Public Interest in Pet Adoption?. Frontiers in Veterinary Science 2021;8 View
  68. Rovetta A. Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance During COVID-19 Pandemic and for Future Research. Frontiers in Research Metrics and Analytics 2021;6 View
  69. Rotter D, Doebler P, Schmitz F. Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers. Journal of Medical Internet Research 2021;23(6):e26385 View
  70. Mavragani A, Gkillas K. Exploring the role of non-pharmaceutical interventions (NPIs) in flattening the Greek COVID-19 epidemic curve. Scientific Reports 2021;11(1) View
  71. Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph T, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656 View
  72. Kardeş E, Kardeş S. Google searches for bruxism, teeth grinding, and teeth clenching during the COVID-19 pandemic. Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie 2022;83(6):1 View
  73. Maccarone M, Kamioka H, Cheleschi S, Tenti S, Masiero S, Kardeş S. Italian and Japanese public attention toward balneotherapy in the COVID-19 era. Environmental Science and Pollution Research 2021;28(43):61781 View
  74. Cardenas-Rojas A, Pacheco-Barrios K, Castelo-Branco L, Giannoni-Luza S, Balbuena-Pareja A, Luna-Cuadros M, Vasconcelos Felippe L, Uygur-Kucukseymen E, Gonzalez-Mego P, Gunduz M, Shaikh E, Gianlorenco A, Fregni F. Barriers and facilitators for clinical trial participation of underrepresented and non-underrepresented fibromyalgia patients: A cross-sectional internet survey. Heliyon 2021;7(7):e07475 View
  75. Springer S, Zieger M, Strzelecki A. The rise of infodemiology and infoveillance during COVID-19 crisis. One Health 2021;13:100288 View
  76. Wang P, Xu Q, Cao R, Deng F, Lei S. Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e25422 View
  77. Sousa-Pinto B, Halonen J, Antó A, Jormanainen V, Czarlewski W, Bedbrook A, Papadopoulos N, Freitas A, Haahtela T, Antó J, Fonseca J, Bousquet J. Prediction of Asthma Hospitalizations for the Common Cold Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e27044 View
  78. Lee E, Bekalu M, McCloud R, Viswanath K. Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication. Health Communication 2023;38(2):335 View
  79. Gao Z, Fujita S, Shimizu N, Liew K, Murayama T, Yada S, Wakamiya S, Aramaki E. Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(7):e29865 View
  80. Bauman A, Kamada M, Reis R, Troiano R, Ding D, Milton K, Murphy N, Hallal P. An evidence-based assessment of the impact of the Olympic Games on population levels of physical activity. The Lancet 2021;398(10298):456 View
  81. Sycinska-Dziarnowska M, Paradowska-Stankiewicz I, Woźniak K. The Global Interest in Vaccines and Its Prediction and Perspectives in the Era of COVID-19. Real-Time Surveillance Using Google Trends. International Journal of Environmental Research and Public Health 2021;18(15):7841 View
  82. Oto O, Kardeş S, Guller N, Safak S, Dirim A, Başhan Y, Demir E, Artan A, Yazıcı H, Turkmen A. Impact of the COVID-19 pandemic on interest in renal diseases. Environmental Science and Pollution Research 2022;29(1):711 View
  83. Alshahrani R, Babour A. An Infodemiology and Infoveillance Study on COVID-19: Analysis of Twitter and Google Trends. Sustainability 2021;13(15):8528 View
  84. Sycinska-Dziarnowska M, Maglitto M, Woźniak K, Spagnuolo G. Oral Health and Teledentistry Interest during the COVID-19 Pandemic. Journal of Clinical Medicine 2021;10(16):3532 View
  85. Radziwon J, Waszak P. Seasonal changes of internet searching suggest circannual rhythmicity of primary headache disorders. Headache: The Journal of Head and Face Pain 2022;62(7):811 View
  86. Cai O, Sousa-Pinto B. United States Influenza Search Patterns Since the Emergence of COVID-19: Infodemiology Study. JMIR Public Health and Surveillance 2022;8(3):e32364 View
  87. Sycinska-Dziarnowska M, Bielawska-Victorini H, Budzyńska A, Woźniak K. Reply to Livas, C.; Delli, K. Comment on “Sycinska-Dziarnowska et al. The Implications of the COVID-19 Pandemic on the Interest in Orthodontic Treatment and Perspectives for the Future. Real-Time Surveillance Using Google Trends. Int. J. Environ. Res. Public Health 2021, 18, 5647”. International Journal of Environmental Research and Public Health 2021;18(23):12840 View
  88. Kow R, Mohamad Rafiai N, Ahmad Alwi A, Low C, Ahmad M, Zakaria Z, Zulkifly A. COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population. Cureus 2022 View
  89. Senecal C, Mahowald M, Lerman L, Lopes-Jimenez F, Lerman A. Increasing utility of Google Trends in monitoring cardiovascular disease. DIGITAL HEALTH 2021;7:205520762110334 View
  90. Cheng R, Fisher A, Nicholson S. Interest in Home Birth During the COVID‐19 Pandemic: Analysis of Google Trends Data. Journal of Midwifery & Women's Health 2022;67(4):427 View
  91. Yu H, Zeng W, Zhang M, Zhao G, Wu W, Feng Y. Utilizing Baidu Index to Investigate Seasonality, Spatial Distribution and Public Attention of Dry Eye Diseases in Chinese Mainland. Frontiers in Public Health 2022;10 View
  92. Güneri F, Forestier F, Forestier R, Karaarslan F, Odabaşi E. YouTube as a source of information for water treatments. International Journal of Biometeorology 2022;66(4):781 View
  93. Ma M, Ye S. Coronavirus-Related Searches on the Internet Predict COVID-19 Vaccination Rates in the Real World: A Behavioral Immune System Perspective. Social Psychological and Personality Science 2023;14(5):572 View
  94. Elsalti A, Darkhabani M, Alrifaai M, Mahroum N. Celebrities and Medical Awareness—The Case of Celine Dion and Stiff-Person Syndrome. International Journal of Environmental Research and Public Health 2023;20(3):1936 View
  95. Kaatz M, Springer S, Schubert R, Zieger M. Representation of long COVID syndrome in the awareness of the population is revealed by Google Trends analysis. Brain, Behavior, & Immunity - Health 2022;22:100455 View
  96. Lee J, Kim S, Kim K, Chai Y, Yu H, Kim S, Choi J, Chung Y, Lee K, Yi K. Assessment of Inter-Institutional Post-Operative Hypoparathyroidism Status Using a Common Data Model. Journal of Clinical Medicine 2021;10(19):4454 View
  97. Mondia M, Espiritu A, Jamora R. Brain Tumor Infodemiology: Worldwide Online Health-Seeking Behavior Using Google Trends and Wikipedia Pageviews. Frontiers in Oncology 2022;12 View
  98. Stańdo J, Piechnik-Czyż G, Adamski A, Fechner Ż. The COVID-19 Pandemic and the Interest in Prayer and Spirituality in Poland According to Google Trends Data in the CONTEXT of the Mediatisation of Religion Processes. Religions 2022;13(7):655 View
  99. Yuan K, Huang G, Wang L, Wang T, Liu W, Jiang H, Yang A. Predicting Norovirus in the United States Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(9):e24554 View
  100. Oke I, Gaier E, Mantagos I, Shah A. Periodic Trends in Internet Searches for Ocular Symptoms in the US. Ophthalmic Epidemiology 2023;30(4):352 View
  101. Demirgüç-Kunt A, Lokshin M, Torre I. Opening-Up Trajectories and Economic Recovery: Lessons after the First Wave of the COVID-19 Pandemic. CESifo Economic Studies 2021;67(3):332 View
  102. USTA G. Afet Yönetimi Odağında Orman Yangınlarının Değerlendirilmesi. Afet ve Risk Dergisi 2023;6(1):18 View
  103. Harb M, Veiga e Silva L, Vijaykumar N, Silva da Silva M, Lisboa Frances C. The COVID-19 infodemic in Brazil: trends in Google search data. PeerJ 2022;10:e13747 View
  104. 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
  105. Deiner M, Seitzman G, Kaur G, McLeod S, Chodosh J, Lietman T, Porco T. Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study. JMIR Infodemiology 2022;2(1):e31732 View
  106. Zieger M, Strzelecki A, Springer S. Public awareness for “classic” childhood diseases and inflammatory syndromes in children during the COVID-19 pandemic. Journal of Pediatric Nursing 2022;66:191 View
  107. Alibudbud R. Decreasing public interest in social psychiatry: An infodemiological study of worldwide Google search volumes from 2004 to 2021. International Journal of Social Psychiatry 2023;69(1):216 View
  108. Tudor C. A Novel Approach to Modeling and Forecasting Cancer Incidence and Mortality Rates through Web Queries and Automated Forecasting Algorithms: Evidence from Romania. Biology 2022;11(6):857 View
  109. Simsek H, Kardes S, Kilic M, Kardes E. Trends and seasonality in public interest in dental trauma: Insights from Google Trends. International Journal of Paediatric Dentistry 2022;32(4):464 View
  110. Liu X, Milam E. Seasonality of photosensitive eruptions: Using google trends data to monitor peaks and troughs. Photodermatology, Photoimmunology & Photomedicine 2023;39(1):62 View
  112. Rovetta A, Castaldo L. Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis. JMIRx Med 2021;2(4):e32233 View
  113. Di Simone E, Panattoni N, De Giorgi A, Rodríguez-Muñoz P, Bondanelli M, Rodríguez-Cortés F, López-Soto P, Giannetta N, Dionisi S, Di Muzio M, Fabbian F. Googling Insomnia, Light, Metabolism, and Circadian: A Population Interest Simple Report. Brain Sciences 2022;12(12):1683 View
  114. Bağcı N, Peker I. Interest in dentistry in early months of the COVID‐19 global pandemic: A Google Trends approach. Health Information & Libraries Journal 2022;39(3):284 View
  115. Gómez-Romero J, Rivas-García R, Valencia-Valencia A, Fragoso-Cano H, García-Jiménez O, Ortíz-Acle J. From Sustainable Development to Social Responsibility: A perspective of Scientific Production Indicators and General Interest in Spanish. Tecnura 2022;26(74):190 View
  116. Piamonte B, Anlacan V, Jamora R, Espiritu A. Googling Alzheimer Disease: An Infodemiological and Ecological Study. Dementia and Geriatric Cognitive Disorders Extra 2021;11(3):333 View
  117. Marcec R, Stjepanovic J, Likic R. Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data. JMIR Bioinformatics and Biotechnology 2022;3(1):e38976 View
  118. Harb M, Silva L, Vijaykumar N, Silva M, Francês C. An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography. International Journal of Environmental Research and Public Health 2022;19(6):3208 View
  119. Alibudbud R. A web-based analysis of public concern about Post-Traumatic Stress Disorder (PTSD) Ukraine during the 2022 military conflict: An infodemiological study. European Journal of Trauma & Dissociation 2022;6(3):100286 View
  120. Amusa L, Twinomurinzi H, Phalane E, Phaswana-Mafuya R. Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda. Interactive Journal of Medical Research 2023;12:e42292 View
  121. Sands W, Bogdanis G, Penitente G, Donti O. ASSESSING INTEREST IN ARTISTIC GYMNASTICS. Science of Gymnastics Journal 2021;13(1):5 View
  122. Ji Q, Yang J, He Q, Chen H, Wang X, Tang F, Ge Q, Wang Y, Ding F. Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index. Land 2021;10(11):1169 View
  123. Ilias I, Milionis C, Koukkou E. COVID-19 and thyroid disease: An infodemiological pilot study. World Journal of Methodology 2022;12(3):99 View
  124. Sinha A, Ghosal S, Tyagi N, Singh N, Singh K. Population-level interest and trends in meditation and yoga during lockdown imposed due to coronavirus disease 2019 pandemic In India: Evidence from Google Trends. Indian Journal of Community and Family Medicine 2021;7(2):119 View
  125. Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1) View
  126. Alonto A, Jamora R, Leochico C, Espiritu A. Low online search interest in teleneurology before and during COVID-19 pandemic: an infodemiological study. Neurological Sciences 2022;43(5):2929 View
  127. Patton T, Abramovitz D, Johnson D, Leas E, Nobles A, Caputi T, Ayers J, Strathdee S, Bórquez A. Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis. Journal of Medical Internet Research 2022;24(12):e41527 View
  128. Tselebis A, Zabuliene L, Milionis C, Ilias I. Pandemic and precocious puberty - a Google trends study. World Journal of Methodology 2023;13(1):1 View
  129. USTA G. Google Trend Özelinde Kullanıcıların Afetlere Yönelik İlgi Düzeylerinin Belirlenmesi. IBAD Sosyal Bilimler Dergisi 2022;(13):96 View
  130. Lima R, Santos J, Santos D, Marinho P, Silva G, Kameo S. Internet Search Trends on Breast Cancer Between 2017 and 2021 in Brazil: an Infoveillance Investigation. Revista Brasileira de Cancerologia 2023;69(1) View
  131. Guendelman S, Pleasants E, Cheshire C, Kong A. Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples. JMIR Infodemiology 2022;2(1):e33184 View
  132. Wang P, Chen C, Wang X, Zhang N, Lv D, Li W, Peng F, Wang X. Does seasonality affect snoring? A study based on international data from the past decade. Sleep and Breathing 2023;27(4):1297 View
  133. Akosman S, Qi L, Pakhchanian H, Foos W, Maliakkal J, Raiker R, Belyea D, Geist C. Using infodemiology metrics to assess patient demand for oculoplastic surgeons in the United States: insights from Google Search Trends. Orbit 2023;42(5):510 View
  134. Alsancak A. A google trends analysis: evaluation of the search frequency about alternative treatment methods during the COVID-19 pandemic in Turkey. International Journal of Complementary & Alternative Medicine 2021;14(3):158 View
  135. Chandy P, Rebekah J G, Jeya Rani K. A, Kanthi. K E, Sathianathan. P, Walling K, Varghese Pulikkottil A. Global COVID 19 distribution and its association with the selected demographic variables of the countries: A Cross-sectional Infodemiological approach at 10th month of Pandemic. International Journal of Nursing Education and Research 2022:99 View
  136. Tudor C, Sova R. Infodemiological study on the impact of the COVID-19 pandemic on increased headache incidences at the world level. Scientific Reports 2022;12(1) View
  137. Berning P, Maybody M, Deipolyi A, Solomon S, Dzaye O. Internet Search Trends Relevant to Interventional Oncology: A Google Trends Study (2004–2020). Journal of Vascular and Interventional Radiology 2021;32(10):1445 View
  138. TİRGİL M, ÇULHA E, DEMİRCİ Ş. Google arama motoru Türkiye’de Covid-19 salgınının yayılımının izlenmesinde ve tahmininde kullanılabilir mi?. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2021;14(3):520 View
  139. ERDEM SULTANOĞLU T, ATAOĞLU S. COVID-19 Pandemisi Döneminde Romatizmal Hastalıklara Halkın İlgisi: Google Trends Verilerinin Analizi. Sağlık Bilimlerinde Değer 2022;12(1):147 View
  140. Maaß C, Chia R. Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends. PLOS ONE 2022;17(10):e0276485 View
  141. Serrazina F, Salavisa M, Correia A. Trends in online search for multiple sclerosis symptoms – Is pain a hot topic?. Multiple Sclerosis and Related Disorders 2022;64:103939 View
  142. Satpathy P, Kumar S, Prasad P. Suitability of Google Trends™ for Digital Surveillance During Ongoing COVID-19 Epidemic: A Case Study from India. Disaster Medicine and Public Health Preparedness 2023;17 View
  143. Alonto A, Apor A, Jamora R. Burden of Neurological Diseases in the Philippines as Revealed by Web Searches: An Infodemiological Study. International Journal of Environmental Research and Public Health 2022;19(24):16736 View
  144. Walker M, Sulyok M. Internet searching on the head louse in the UK since the COVID‐19 pandemic. Pediatric Dermatology 2023;40(1):96 View
  145. Rovetta A, Castaldo L. A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy. BMC Medical Research Methodology 2022;22(1) View
  146. Deiner M, Kaur G, McLeod S, Schallhorn J, Chodosh J, Hwang D, Lietman T, Porco T. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study. Journal of Medical Internet Research 2022;24(7):e27310 View
  147. Kaatz M, Springer S, Zieger M. Influence of the COVID-19 pandemic measures on incidence and representation of other infectious diseases in Germany: a lesson to be learnt. Journal of Public Health 2023;31(10):1673 View
  148. Zhou X, Li Y. Forecasting the COVID-19 vaccine uptake rate: an infodemiological study in the US. Human Vaccines & Immunotherapeutics 2022;18(1) View
  149. Fritsch C, Duong V, Chen L, Hunter D, McLachlan A, Ferreira P, Ferreira M. Use of Online Information in Musculoskeletal Conditions. JCR: Journal of Clinical Rheumatology 2022;28(3):162 View
  150. Kamboj A, Agarwal S, Chedid V, Iyer P, Bailey K, Harmsen W, Katzka D. Changes in National Google Trends and Local Healthcare Utilization After High-Impact Gastroenterology Publications. American Journal of Gastroenterology 2021;116(12):2465 View
  151. Bhagavathula A, Massey P, Khubchandani J. COVID-19 testing demand amidst Omicron variant surge: Mass hysteria or population health need?. Brain, Behavior, and Immunity 2022;101:394 View
  152. Gizzi F, Potenza M. Earthquake Insurance in California, USA: What Does Community-Generated Big Data Reveal to Us?. Big Data and Cognitive Computing 2022;6(2):60 View
  153. Kontowicz E, Brown G, Torner J, Carrel M, Baker K, Petersen C, Telford S. Inclusion of environmentally themed search terms improves Elastic net regression nowcasts of regional Lyme disease rates. PLOS ONE 2022;17(3):e0251165 View
  154. van Kessel R, Kyriopoulos I, Wong B, Mossialos E. The Effect of the COVID-19 Pandemic on Digital Health–Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends. Journal of Medical Internet Research 2023;25:e42401 View
  155. Khakimova A, Abdollahi L, Zolotarev O, Rahim F. Global interest in vaccines during the COVID‐19 pandemic: Evidence from Google Trends. Vaccine: X 2022;10:100152 View
  156. . Impact of COVID-19 Pandemic on Population-Level Interest in Skincare: Evidence from a Google Trends. European Journal of Medical and Health Sciences 2021:147 View
  157. Akpan I, Aguolu O, Kobara Y, Razavi R, Akpan A, Shanker M. Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study. Journal of Medical Internet Research 2021;23(9):e28975 View
  158. Bhagavathula A, Raubenheimer J. A Real-Time Infodemiology Study on Public Interest in Mpox (Monkeypox) following the World Health Organization Global Public Health Emergency Declaration. Information 2022;14(1):5 View
  159. Jin P, Zhao Q, Zang Y, Zhang Q, Shen C, Zhang H, Zhang H, Zhi L. A Google Trends analysis revealed global public interest and awareness of nasal polyps. European Archives of Oto-Rhino-Laryngology 2023;280(6):2831 View
  160. Hu F, Qiu L, Xia W, Liu C, Xi X, Zhao S, Yu J, Wei S, Hu X, Su N, Hu T, Zhou H, Jin Z. Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China. Frontiers in Public Health 2022;10 View
  161. Alibudbud R. An infodemiological study of worldwide google search volumes for major depressive disorder and persistent depressive disorder from 2004 to 2021. Clinical Epidemiology and Global Health 2023;19:101211 View
  162. Batrimenko A, Denisova S, Lisovskii D, Orlov S, Soshnikov S. The Internet search engines as an additional tool in public health research in the context of disease outbreaks. International Journal of Health Governance 2022;27(2):194 View
  163. YÜCESOY H, ATMACA AYDIN E, KARAARSLAN F. COVID-19 Pandemisi Sırasında Anti Romatizmal İlaçlara Halkın İlgisi: Türkiye’deki Google Trends Analizi, Kesitsel Çalışma. Sakarya Medical Journal 2022 View
  164. Jiang S, You C, Zhang S, Chen F, Peng G, Liu J, Xie D, Li Y, Guo X. Using search trends to analyze web-based users’ behavior profiles connected with COVID-19 in mainland China: infodemiology study based on hot words and Baidu Index. PeerJ 2022;10:e14343 View
  165. Sajjadi N, Feldman K, Shepard S, Reddy A, Torgerson T, Hartwell M, Vassar M. Public Interest and Behavior Change in the United States Regarding Colorectal Cancer Following the Death of Chadwick Boseman: Infodemiology Investigation of Internet Search Trends Nationally and in At-Risk Areas. JMIR Infodemiology 2021;1(1):e29387 View
  166. Sousa‐Pinto B, Sá‐Sousa A, Vieira R, Amaral R, Klimek L, Czarlewski W, Antó J, Pfaar O, Bedbrook A, Kvedariene V, Ventura M, Ansotegui I, Bergmann K, Brussino L, Canonica G, Cardona V, Carreiro‐Martins P, Casale T, Cecchi L, Chivato T, Chu D, Cingi C, Costa E, Cruz A, De Feo G, Devillier P, Fokkens W, Gaga M, Gemicioğlu B, Haahtela T, Ivancevich J, Ispayeva Z, Jutel M, Kuna P, Kaidashev I, Kraxner H, Larenas‐Linnemann D, Laune D, Lipworth B, Louis R, Makris M, Monti R, Morais‐Almeida M, Mösges R, Mullol J, Odemyr M, Okamoto Y, Papadopoulos N, Patella V, Pham‐Thi N, Regateiro F, Reitsma S, Rouadi P, Samolinski B, Sova M, Todo‐Bom A, Taborda‐Barata L, Tomazic P, Toppila‐Salmi S, Sastre J, Tsiligianni I, Valiulis A, Vandenplas O, Wallace D, Waserman S, Yorgancioglu A, Zidarn M, Zuberbier T, Fonseca J, Bousquet J. Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK‐air® real‐world data. Allergy 2022;77(9):2699 View
  167. Sands W, Bogdanis G, Penitente G, Donti O. ASSESSING INTEREST IN ARTISTIC GYMNASTICS. Science of Gymnastics Journal 2021;13(1):5 View
  168. 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
  169. Wang B, Liang B, Chen Q, Wang S, Wang S, Huang Z, Long Y, Wu Q, Xu S, Jinna P, Yang F, Ming W, Liu Q. COVID-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures. International Journal of Environmental Research and Public Health 2023;20(4):3007 View
  170. Sylvestre E, Cécilia-Joseph E, Bouzillé G, Najioullah F, Etienne M, Malouines F, Rosine J, Julié S, Cabié A, Cuggia M. The Role of Heterogenous Real-world Data for Dengue Surveillance in Martinique: Observational Retrospective Study. JMIR Public Health and Surveillance 2022;8(12):e37122 View
  171. Cuomo R, Purushothaman V, Calac A, McMann T, Li Z, Mackey T. Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study. JMIR Formative Research 2023;7:e42162 View
  172. Çalışkan C, Özsezer G, Pay M, Demir G, Çelebi I, Koçak H. Web search behaviors and infodemic attitudes regarding COVID-19 in Turkey: A framework study for improving response and informing policy on the COVID-19 infodemic. Frontiers in Public Health 2022;10 View
  173. Bhagavathula A, Massey P. Google Trends on Human Papillomavirus Vaccine Searches in the United States From 2010 to 2021: Infodemiology Study. JMIR Public Health and Surveillance 2022;8(8):e37656 View
  174. Jeganathan N, Nagori E, Sathananthan M. Assessing population interest in interstitial lung diseases in the USA using Google Trends. ERJ Open Research 2022;8(2):00092-2022 View
  175. Alibudbud R. Insights from an infodemiological study of mental health in Malaysia, the Philippines, Singapore, and Thailand from 2004 to 2021. Asian Journal of Psychiatry 2022;78:103311 View
  176. Yan M, Pakhchanian H, Raiker R, Boustany O, Khan A, Singh S. COVID-19’s impact on interest in gastrointestinal topics. Environmental Science and Pollution Research 2022;29(52):79041 View
  177. Ma M, Ye S. The COVID-19 pandemic and seeking information about condoms online: an infodemiology approach. Psychology & Health 2023;38(9):1128 View
  178. Alibudbud R, Cleofas J. Global utilization of online information for substance use disorder: An infodemiological study of Google and Wikipedia from 2004 to 2022. Journal of Nursing Scholarship 2023;55(3):665 View
  179. Nazar W, Plata-Nazar K. Changes in Air Pollution-Related Behaviour Measured by Google Trends Search Volume Index in Response to Reported Air Quality in Poland. International Journal of Environmental Research and Public Health 2021;18(21):11709 View
  180. Alibudbud R. A Case of Pharmaceutical Messianism Amidst the COVID-19 Pandemic: An Infodemiological Study of Ivermectin in the Philippines. Policy, Politics, & Nursing Practice 2023;24(1):17 View
  181. ÇİMKE S, YILDIRIM GÜRKAN D. Determining the Global Corona Agenda via Google Trends. Black Sea Journal of Public and Social Science 2022;5(1):17 View
  182. Beauharnais C, Aulet T, Rodriguez-Silva J, Konen J, Sturrock P, Alavi K, Maykel J, Davids J. Assessing the Quality of Online Health Information and Trend Data for Colorectal Malignancies. Journal of Surgical Research 2023;283:923 View
  183. Jin P, Shen C, Zi X, Zhi L. Monkeypox global outbreak implicated in the otolaryngology clinical practice: A Google Trends analysis. Asian Journal of Surgery 2023;46(7):2931 View
  184. Neumann K, Mason S, Farkas K, Santaularia N, Ahern J, Riddell C. Harnessing Google Health Trends Data for Epidemiologic Research. American Journal of Epidemiology 2022 View
  185. Sebopelo L, Bourcier A, Dada O, Adegboyega G, Nteranya D, Kanmounye U. Retrospective review of Google Trends to gauge the popularity of global surgery worldwide: A cross-sectional study. Annals of Medicine and Surgery 2021;71:102950 View
  186. Dzaye O, Berning P, Razavi A, Adhikari R, Jha K, Nasir K, Ayers J, Mortensen M, Blaha M. Online searches for SGLT-2 inhibitors and GLP-1 receptor agonists correlate with prescription rates in the United States: An infodemiological study. Frontiers in Cardiovascular Medicine 2022;9 View
  187. Katz A, Tepper Y, Birk O, Eran A. Web and social media searches highlight menstrual irregularities as a global concern in COVID-19 vaccinations. Scientific Reports 2022;12(1) View
  188. Springer S, Strzelecki A, Zieger M. Maximum generable interest: A universal standard for Google Trends search queries. Healthcare Analytics 2023;3:100158 View
  189. Imani M, Fakour H, Lo S, Yuan M, Chen C, Mobasser S, Muangthai I. Aquavoltaics Feasibility Assessment: Synergies of Solar PV Power Generation and Aquaculture Production. Water 2023;15(5):987 View
  190. Mehra M, Brody P, Mehrotra S, Sakhalkar O, Maugans T. Google Trends™ and Quality of Information Analyses of Google™ Searches Pertaining to Concussion. Neurotrauma Reports 2023;4(1):159 View
  191. Alibudbud R. The Worldwide Utilization of Online Information about Dementia from 2004 to 2022: An Infodemiological Study of Google and Wikipedia. Issues in Mental Health Nursing 2023;44(3):209 View
  192. Alibudbud R. Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology. Frontiers in Big Data 2023;6 View
  193. Oliveira L, Pelissari T, Zanatta F. Interest on cold sores increases during the winter: An infoveillance from 2004 to 2022. Oral Diseases 2024;30(3):1737 View
  194. Lima F. O Uso do Google Trends para Análise de Interesse por Informações sobre o Câncer no Brasil: Aspectos Teórico-Metodológicos. Revista Brasileira de Cancerologia 2023;69(2) View
  195. Van Haaren P, Tijdink J, Gerritse F. Web Search Query Volume Correlates With Prescription Volumes of Antidepressants and Antipsychotics in the Netherlands and United Kingdom. Journal of Clinical Psychopharmacology 2023;43(3):220 View
  196. Di Spirito F, Bramanti A, Cannatà D, Coppola N, Di Palo M, Savarese G, Amato M. Oral and Dental Needs and Teledentistry Applications in the Elderly: Real-Time Surveillance Using Google Trends. Applied Sciences 2023;13(9):5416 View
  197. Zhu A, Mahajan J, Oydanich M, Luo M, Khouri A. Analysis of google trends and search results for ophthalmic symptoms of monkeypox. International Ophthalmology 2023;43(9):3149 View
  198. Sharma P, Singh S, Balhara Y. Impact of the lockdown following COVID-19 on online interest for digital gaming in India: Findings from a google trend study. Indian Journal of Social Psychiatry 2021;37(3):335 View
  199. van Kessel R, Kyriopoulos I, Mastylak A, Mossialos E, Ayatollahi H. Changes in digital healthcare search behavior during the early months of the COVID-19 pandemic: A study of six English-speaking countries. PLOS Digital Health 2023;2(5):e0000241 View
  200. Laubach L, Chiang B, Sharma V, Jacobs J, Krumme J, Kuester V. Alternative and Adjunct Treatments for Scoliosis: A Google Trends Analysis of Public Popularity Compared With Scientific Literature. Cureus 2023 View
  201. Malhotra K, Dagli M, Santangelo G, Wathen C, Ghenbot Y, Goyal K, Bawa A, Ozturk A, Welch W. The Digital Impact of Neurosurgery Awareness Month: Retrospective Infodemiology Study. JMIR Formative Research 2023;7:e44754 View
  202. Ondrikova N, Harris J, Douglas A, Hughes H, Iturriza-Gomara M, Vivancos R, Elliot A, Cunliffe N, Clough H. Predicting Norovirus in England Using Existing and Emerging Syndromic Data: Infodemiology Study. Journal of Medical Internet Research 2023;25:e37540 View
  203. Mehra M, Brody P, Kollapaneni S, Sakhalkar O, Rahimi S. Evaluating the Quality, Readability, and Activity of Online Information on Brain Arteriovenous Malformations. Cureus 2023 View
  204. Rovetta A. An integrated infoveillance approach using google trends and Talkwalker: Listening to web concerns about COVID-19 vaccines in Italy. Healthcare Analytics 2023;4:100272 View
  206. Lin L, Lin C, Kuan C, Chiou H. Potential Determinants Contributing to COVID-19 Vaccine Acceptance and Hesitancy in Taiwan: Rapid Qualitative Mixed Methods Study. JMIR Formative Research 2023;7:e41364 View
  207. Cinar C. Analyzing Public Interest in Osteoarthritis and Its Minimally Invasive Treatments: A Google Trends Analysis. Cureus 2023 View
  208. Thakur N, Cui S, Patel K, Hall I, Duggal Y. A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions. Data 2023;8(11):163 View
  209. Alibudbud R. Expanded Limitations and Recommendations for Using Google Trends for Public Interest and Psychiatric Research. Psychiatry Investigation 2023;20(8):786 View
  210. Boligarla S, Laison E, Li J, Mahadevan R, Ng A, Lin Y, Thioub M, Huang B, Ibrahim M, Nasri B. Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. BMC Medical Informatics and Decision Making 2023;23(1) View
  211. Han S, Safeek R, Ockerman K, Trieu N, Mars P, Klenke A, Furnas H, Sorice-Virk S. Public Interest in the Off-Label Use of Glucagon-like Peptide 1 Agonists (Ozempic) for Cosmetic Weight Loss: A Google Trends Analysis. Aesthetic Surgery Journal 2023;44(1):60 View
  212. Tudor C, Sova R. Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence. PeerJ Computer Science 2023;9:e1518 View
  213. Liu Y, Wolff K, Lo T. Big data in crime statistics: Using Google Trends to measure victimization in designated market areas across the United States. Methodological Innovations 2023;16(3):341 View
  214. Munaf S, Swingler K, Brülisauer F, O’Hare A, Gunn G, Reeves A. Text mining of veterinary forums for epidemiological surveillance supplementation. Social Network Analysis and Mining 2023;13(1) View
  215. Melián-Fleitas L, Franco-Pérez Á, Sanz-Valero J, Wanden-Berghe C. Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study. Nutrients 2023;15(17):3773 View
  216. Akosman S, Tran E, Rosenberg S, Pakhchanian H, Raiker R, Belyea D. Patient Demand for Ophthalmologists in the United States: A Google Trends Analysis. Ophthalmic Epidemiology 2023:1 View
  217. Li Z, Fan Y, Su H, Xu Z, Ho H, Zheng H, Tao J, Zhang Y, Hu K, Hossain M, Zhao Q, Huang C, Cheng J. The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China. BMJ Global Health 2023;8(9):e013231 View
  218. Grandieri A, Trevisan C, Gentili S, Vetrano D, Liotta G, Volpato S. Relationship between People’s Interest in Medication Adherence, Health Literacy, and Self-Care: An Infodemiological Analysis in the Pre- and Post-COVID-19 Era. Journal of Personalized Medicine 2023;13(7):1090 View
  219. Brody P, Mehra M, Horinek M, Herzstein S, Chan J. Assessing Patterns in Childhood Obesity Patient Education: A Quality of Online Health Information and Google Trends Analysis. Childhood Obesity 2023 View
  220. ÖZKENT Y. The Effect of Psychological Disease Portrayals in TV Series on Internet Searches: A Google Trends Based Analysis. İletişim Kuram ve Araştırma Dergisi 2023;(63):36 View
  221. Mazzone C, Pezzino S, Sofia M, Litrico G, Sarvà I, Agosta M, La Greca G, Latteri S. Scientific and Public Interest in Bariatric Surgery for Obesity: The Italian Scenario. Gastrointestinal Disorders 2023;5(4):438 View
  222. Chu A, Chong A, Lai N, Tiwari A, So M. Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19. JMIR Public Health and Surveillance 2023;9:e42446 View
  223. Alibudbud R. Impact of Mental Health Legislation on Public Interest and Awareness of Common Mental Disorders. Journal of Nervous & Mental Disease 2023;211(10):791 View
  225. Morokhovets H, Lysanets Y, Kaidashev I. INFODEMIOLOGY: USING GOOGLE TRENDS AS A RESEARCH TOOL DURING THE COVID-19 PANDEMIC. The Medical and Ecological Problems 2023;27(3-4):3 View
  226. GÜDÜK M, ORHUN Ö, DURSUN A, KÜÇÜKSÜLEYMANOĞLU D, DENİZ Z, USSELİ M, BOZKURT B, KARDEŞ S, EKŞİ M. Impact of COVID-19 on interest in pediatric neurosurgery related symptoms, diseases, and treatments. Journal of Neurosurgical Sciences 2023;67(6) View
  227. Lo Moro G, Giacomo S, Francesco C, Carola L, Fabrizio B, Roberta S. Italian public interest in online and in‐person psychological support during the COVID‐19 pandemic: Insights from Google Trends. Counselling and Psychotherapy Research 2023 View
  228. Danias G, Appel J. Public Interest in Psilocybin and Psychedelic Therapy in the Context of the COVID-19 Pandemic: Google Trends Analysis. JMIR Formative Research 2023;7:e43850 View
  229. Munaf S, Swingler K, Brülisauer F, O'Hare A, Gunn G, Reeves A. Spatio-temporal evaluation of social media as a tool for livestock disease surveillance. One Health 2023;17:100657 View
  230. Lima F, Martins L, Szklo A. What does Google Trends reveal about the proportion of waterpipe users in the Brazilian population?. Epidemiologia e Serviços de Saúde 2023;32(4) View
  231. Lima F, Martins L, Szklo A. O que o Google Trends tem a dizer sobre a proporção de usuários de narguilé na população brasileira?. Epidemiologia e Serviços de Saúde 2023;32(4) View
  232. Ma M, Chen S, Wang X. Looking beyond vaccines: Cultural tightness–looseness moderates the relationship between immunization coverage and disease prevention vigilance. Applied Psychology: Health and Well-Being 2023 View
  233. TAŞKALDIRAN E, MEŞELİ S. An Infodemiological Study on Google Search Trends for 'Gum Bleeding': Demographic, Economic, and Temporal Perspectives. European Annals of Dental Sciences 2023;50(3):133 View
  234. Maugeri A, Barchitta M, Basile G, Agodi A. Public and Research Interest in Telemedicine From 2017 to 2022: Infodemiology Study of Google Trends Data and Bibliometric Analysis of Scientific Literature. Journal of Medical Internet Research 2024;26:e50088 View
  235. Botros J, Padilla M. Assessing the Public’s Interest in Orofacial Pain Specialists: A Google Trends Analysis. Journal of Oral Medicine and Pain 2023;48(4):137 View
  236. Wu K, Anastasio A, Kim J, Choudhury A, Adams S. Evaluating the impact of work from home policies on Google search Trends related to ankle surgery during the COVID-19 pandemic. Work 2024:1 View
  237. Bachl M, Link E, Mangold F, Stier S. Search Engine Use for Health-Related Purposes: Behavioral Data on Online Health Information-Seeking in Germany. Health Communication 2024:1 View
  238. Nagra M, Wolffsohn J, Ghorbani-Mojarrad N. Using big data to understand interest in myopia. Optometry and Vision Science 2024;101(1):37 View
  239. Habibdoust A, Seifaddini M, Tatar M, Araz O, Wilson F. Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach. Informatics for Health and Social Care 2024;49(1):56 View
  240. Domnich A, Ferrari A, Ogliastro M, Orsi A, Icardi G. Web search volume as a near-real-time complementary surveillance tool of tick-borne encephalitis (TBE) in Italy. Ticks and Tick-borne Diseases 2024;15(3):102332 View
  241. Bayram H, Öztürkcan A. Türkiye’de Popüler Diyet Terimlerine Gösterilen İlginin İncelenmesi: Bir İnfodemiyoloji Çalışması. Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi 2024;6(1):120 View
  242. Garcia Valencia O, Thongprayoon C, Jadlowiec C, Mao S, Leeaphorn N, Budhiraja P, Khoury N, Vaitla P, Suppadungsuk S, Cheungpasitporn W. Evaluating Global and Temporal Trends in Pancreas and Islet Cell Transplantation: Public Awareness and Engagement. Clinics and Practice 2024;14(2):590 View
  243. Azmoude E, larki M, Marvi N, Roudsari R. Public Reproductive Health Concerns Related to the COVID-19 Vaccination: A Retrospective Analysis of Google Trends Data in Iran. Current Womens Health Reviews 2024;20(3) View
  244. Alibudbud R. Philippine COVID-19 Vaccination Through an Infodemiological Lens: A One-year Web-based Search Volume Analysis From 2020 to 2021. Malaysian Journal of Medicine and Health Sciences 2024;20(1):369 View
  245. Şen Yavuz B, Güneyligil Kazaz T, Akbeyaz Şivet E, Kargul B. Prediction of the Spread of the COVID-19 Pandemic with Google Searches: An Infodemiological Approach. ADO Klinik Bilimler Dergisi 2024 View
  246. Zhu Y, Zhang R, Yin S, Sun Y, Womer F, Liu R, Zeng S, Zhang X, Wang F. Digital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation. JMIR Public Health and Surveillance 2024;10:e47428 View
  247. Meinzenbach A, Kaatz M, Springer S, Zieger M. Representation of skin carcinomas in public awareness – Awareness worldwide and in Germany. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024 View
  248. Deveci C, Atılgan M. A Series of Suicides and Homicides by Cyanide in Türkiye: Exploring the Role of Media Reports and the Copycat Effect. European Journal of Therapeutics 2024 View

Books/Policy Documents

  1. Ganasegeran K, Abdulrahman S. Human Behaviour Analysis Using Intelligent Systems. View
  2. Galido A, Ecleo J. Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022). View
  3. Bhattacharya K, Bhattacharjee A, Chanu N. Sustainability Measures for COVID-19 Pandemic. View
  4. Apolinario-Arzube O, García-Díaz J, Roldán D, Prieto-González L, Casal G, Valencia-García R. Technologies and Innovation. View
  5. . Artificial Intelligence Applications Using ChatGPT in Education. View
  6. Rahulraj P, Sanil J, Anoop V, Asharaf S. Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023. View
  7. Alzahrani A. Micro-Electronics and Telecommunication Engineering. View