Published on in Vol 20, No 11 (2018): November

Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review

Journals

  1. Lara Ródenas M. El voto vigilado. Influencia y control electoral en las hermandades de Huelva durante el Antiguo Régimen. Hispania Sacra 2019;71(144):521 View
  2. Modrego-Pardo I, Solá-Izquierdo E, Morillas-Ariño C. Tendencia de la población española de búsqueda en internet sobre información relacionada con diferentes dietas. Endocrinología, Diabetes y Nutrición 2020;67(7):431 View
  3. Lee E, Yee A. Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data. Frontiers in Communication 2020;5 View
  4. Walker M, Sulyok M. Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom. Epidemiology and Infection 2020;148 View
  5. Weitzman E, Magane K, Chen P, Amiri H, Naimi T, Wisk L. Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale. American Journal of Preventive Medicine 2020;58(1):79 View
  6. 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
  7. 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
  8. Ahmad I, Flanagan R, Staller K. Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots. Clinical Gastroenterology and Hepatology 2020;18(12):2833 View
  9. Maneejuk P, Yamaka W. Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends. Mathematics 2019;7(11):1032 View
  10. Jardine E, Lindner A. The Dark Web and cannabis use in the United States: Evidence from a big data research design. International Journal of Drug Policy 2020;76:102627 View
  11. Mavragani A. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance 2020;6(2):e18941 View
  12. 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
  13. Pier M, Pasick L, Benito D, Alnouri G, Sataloff R. Otolaryngology-related Google Search trends during the COVID-19 pandemic. American Journal of Otolaryngology 2020;41(6):102615 View
  14. Rampally V, Mondal H, Mondal S. Global search trends on common vaccine-related information in English on the Internet. Journal of Family Medicine and Primary Care 2020;9(2):698 View
  15. Flanagan R, Kuo B, Staller K. Utilizing Google Trends to Assess Worldwide Interest in Irritable Bowel Syndrome and Commonly Associated Treatments. Digestive Diseases and Sciences 2021;66(3):814 View
  16. Modrego-Pardo I, Solá-Izquierdo E, Morillas-Ariño C. Spanish population trends in Internet searches for information on different diets. Endocrinología, Diabetes y Nutrición (English ed.) 2020;67(7):431 View
  17. Senecal C, Gulati R, Lerman A. Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study. JMIR Cardio 2020;4(1):e20426 View
  18. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  19. Kolajo T, Daramola O, Adebiyi A. Big data stream analysis: a systematic literature review. Journal of Big Data 2019;6(1) View
  20. Lin R, Cheng Y, Jiang Y. Exploring Public Awareness of Overwork Prevention With Big Data From Google Trends: Retrospective Analysis. Journal of Medical Internet Research 2020;22(6):e18181 View
  21. Jella T, Samuel L, Acuña A, Emara A, Kamath A. Rapid Decline in Online Search Queries for Hip and Knee Arthroplasties Concurrent With the COVID-19 Pandemic. The Journal of Arthroplasty 2020;35(10):2813 View
  22. Tizek L, Schielein M, Rüth M, Ständer S, Pereira M, Eberlein B, Biedermann T, Zink A. Influence of Climate on Google Internet Searches for Pruritus Across 16 German Cities: Retrospective Analysis. Journal of Medical Internet Research 2019;21(7):e13739 View
  23. Arora V, McKee M, Stuckler D. Google Trends: Opportunities and limitations in health and health policy research. Health Policy 2019;123(3):338 View
  24. Mondal S, Mondal H. Online Pornography Seeking Behavior and Its Relation to Literacy Rate and Financial Status of Indian States. Journal of Psychosexual Health 2020;2(1):71 View
  25. Saris K, Meis J, Baño J, Tacconelli E, van de Belt T, Voss A. Does Online Search Behavior Coincide with Candida auris Cases? An Exploratory Study. Journal of Fungi 2019;5(2):44 View
  26. Bragazzi N, Mahroum N. Google Trends Predicts Present and Future Plague Cases During the Plague Outbreak in Madagascar: Infodemiological Study. JMIR Public Health and Surveillance 2019;5(1):e13142 View
  27. Higgins T, Wu A, Sharma D, Illing E, Rubel K, Ting J. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19702 View
  28. 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
  29. Vardell E, White D. Exploring Affordable Care Act and Health Insurance Information Seeking with Google Trends. Journal of Consumer Health on the Internet 2020;24(3):269 View
  30. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  31. Ssendikaddiwa J, Lavergne R. Access to Primary Care and Internet Searches for Walk-In Clinics and Emergency Departments in Canada: Observational Study Using Google Trends and Population Health Survey Data. JMIR Public Health and Surveillance 2019;5(4):e13130 View
  32. Kardeş S. Seasonal variation in the internet searches for psoriasis. Archives of Dermatological Research 2019;311(6):461 View
  33. Sharma D, Sandelski M, Ting J, Higgins T. Correlations in Trends of Sinusitis-Related Online Google Search Queries in the United States. American Journal of Rhinology & Allergy 2020;34(4):482 View
  34. Sousa M, Pesqueira A, Lemos C, Sousa M, Rocha Á. Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations. Journal of Medical Systems 2019;43(9) View
  35. Zitting K, Lammers-van der Holst H, Yuan R, Wang W, Quan S, Duffy J. Google Trends reveals increases in internet searches for insomnia during the 2019 coronavirus disease (COVID-19) global pandemic. Journal of Clinical Sleep Medicine 2021;17(2):177 View
  36. Kaidashev I, Morokhovets H, Rodinkova V, DuBuske L, Bousquet J. Assessment of Google Trends terms reporting allergies and the grass pollen season in Ukraine. World Allergy Organization Journal 2020;13(10):100465 View
  37. Rovetta A, Castaldo L. The Impact of COVID-19 on Italian Web Users: A Quantitative Analysis of Regional Hygiene Interest and Emotional Response. Cureus 2020 View
  38. 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
  39. Ciaffi J, Meliconi R, Landini M, Mancarella L, Brusi V, Faldini C, Ursini F. Seasonality of Back Pain in Italy: An Infodemiology Study. International Journal of Environmental Research and Public Health 2021;18(3):1325 View
  40. Tárraga-Mínguez R, Gómez-Marí I, Sanz-Cervera P. What Motivates Internet Users to Search for Asperger Syndrome and Autism on Google?. International Journal of Environmental Research and Public Health 2020;17(24):9386 View
  41. 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
  42. Marchini G, Faria K, Neto F, Torricelli F, Danilovic A, Vicentini F, Batagello C, Srougi M, Nahas W, Mazzucchi E. Understanding urologic scientific publication patterns and general public interests on stone disease: lessons learned from big data platforms. World Journal of Urology 2021;39(7):2767 View
  43. Fabbian F, Rodríguez-Muñoz P, López-Carrasco J, Cappadona R, Rodríguez-Borrego M, López-Soto P. Google Trends on Obesity, Smoking and Alcoholism: Global and Country-Specific Interest. Healthcare 2021;9(2):190 View
  44. Mei Y, Mao Y, Cao F, Wang T, Li Z. Using internet search data to explore the global public concerns in ankylosing spondylitis. Postgraduate Medical Journal 2021;97(1144):93 View
  45. Johnson A, Bhaumik R, Tabidze I, Mehta S. Nowcasting Sexually Transmitted Infections in Chicago: Predictive Modeling and Evaluation Study Using Google Trends. JMIR Public Health and Surveillance 2020;6(4):e20588 View
  46. Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1) View
  47. Mayasari N, Ho D, Lundy D, Skalny A, Tinkov A, Teng I, Wu M, Faradina A, Mohammed A, Park J, Ngu Y, Aliné S, Shofia N, Chang J. Impacts of the COVID-19 Pandemic on Food Security and Diet-Related Lifestyle Behaviors: An Analytical Study of Google Trends-Based Query Volumes. Nutrients 2020;12(10):3103 View
  48. 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
  49. Crampton A, Pearce N, Ragusa A, Dick Haynes R. Using Infoveillance to Identify Community Concerns/Literacy, Reduce Risk, and Improve Response in Pollution and Health Emergencies. E3S Web of Conferences 2021;241:03002 View
  50. Razon J, Mascarenhas A. Does the general public have concerns with dental anesthetics?. Journal of Dental Anesthesia and Pain Medicine 2021;21(2):113 View
  51. 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
  52. Mariscal-Arcas M, Jimenez-Casquet M, Saenz de Buruaga B, Delgado-Mingorance S, Blas-Diaz A, Cantero L, Padial M, Matas M, Martinez N, Salas P, Reboredo A, Lopez-Moro A, Corbalan M, Latorre J, Martinez-Bebia M, Gimenez-Blasi N, Garcia-Sola J, Sanchez-Moreno G. Use of Social Media, Network Avenues, Blog and Scientific Information Systems Through the Website Promoting the Mediterranean Diet as a Method of a Health Safeguarding. Frontiers in Communication 2021;6 View
  53. 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
  54. Skrzypczak T, Jany A, Michałowicz J, Hossa M, Bogusławska J, Targonska M. Public Interest in Cataract Surgery: Analysis and Implications of Google Trends Data from 14 European Countries. Ophthalmic Epidemiology 2022;29(1):108 View
  55. 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
  56. 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
  57. 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
  58. 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
  59. Naik H, Johnson M, Johnson M. Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study. Journal of Medical Internet Research 2021;23(6):e27052 View
  60. 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
  61. Springer S, Zieger M, Strzelecki A. The rise of infodemiology and infoveillance during COVID-19 crisis. One Health 2021;13:100288 View
  62. 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
  63. Jardine E. Blame the messenger: perceived mis/disinformation exposure on social media and perceptions of newsfeed algorithmic bias. Journal of Cyber Policy 2021;6(2):196 View
  64. Sato K, Mano T, Iwata A, Toda T. Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity. BMC Medical Research Methodology 2021;21(1) View
  65. Monnaka V, Oliveira C. Google Trends correlation and sensitivity for outbreaks of dengue and yellow fever in the state of São Paulo. Einstein (São Paulo) 2021;19 View
  66. Marchini G, Faria K, Neto F, Torricelli F, Danilovic A, Vicentini F, Batagello C, Srougi M, Nahas W, Mazzucchi E. Comparing public interest on stone disease between developed and underdeveloped nations: are search patterns on google trends similar?. International braz j urol 2021;47(5):989 View
  67. Singh S, Bhatia G, Sharma P, Parmar A. Celebrity drug use reporting in Indian media and its impact on drug-related online search behavior. Indian Journal of Psychiatry 2021;63(4):391 View
  68. 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
  69. Livas C, Delli K, Lee S, Pandis N. Public interest in Invisalign in developed and developing countries: A Google Trends analysis. Journal of Orthodontics 2023;50(2):188 View
  70. Suzuki S, Nishikawa Y, Okada H, Nakayama T. Information-seeking behaviour of community pharmacists during the COVID-19 pandemic: an ecological study. BMJ Open 2023;13(2):e062465 View
  71. Wang D, Guerra A, Wittke F, Lang J, Bakker K, Lee A, Finelli L, Chen Y. Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study. Tropical Medicine and Infectious Disease 2023;8(2):75 View
  72. 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
  73. Duarte-Casar R, Robalino-Vallejo J, Buzetta-Ricaurte M, Rojas-Le-Fort M. RETRACTED ARTICLE: Toward a characterization of Ecuadorian ceviche: much more than shrimp. Journal of Ethnic Foods 2022;9(1) View
  74. Birkun A. Relationship of Public Interest in Cardiopulmonary Resuscitation with Cardiac Arrest Epidemiology and National Socioeconomic Indicators: Exploratory Infodemiology Study. Prehospital and Disaster Medicine 2023;38(2):174 View
  75. Nann D, Walker M, Frauenfeld L, Ferenci T, Sulyok M. Forecasting the future number of pertussis cases using data from Google Trends. Heliyon 2021;7(11):e08386 View
  76. Maugeri A, Barchitta M, Agodi A. Using Google Trends to Predict COVID-19 Vaccinations and Monitor Search Behaviours about Vaccines: A Retrospective Analysis of Italian Data. Vaccines 2022;10(1):119 View
  77. Maugeri A, Barchitta M, Perticone V, Agodi A. How COVID-19 Pandemic Has Influenced Public Interest in Foods: A Google Trends Analysis of Italian Data. International Journal of Environmental Research and Public Health 2023;20(3):1976 View
  78. van de Hei S, Poot C, van den Berg L, Meijer E, van Boven J, Flokstra-de Blok B, Postma M, Chavannes N, Kocks J. Effectiveness, usability and acceptability of a smart inhaler programme in patients with asthma: protocol of the multicentre, pragmatic, open-label, cluster randomised controlled ACCEPTANCE trial. BMJ Open Respiratory Research 2022;9(1):e001400 View
  79. 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
  80. Kow R, Mohamad Rafiai N, Ahmad Alwi A, Low C, Rozi N, Nizam Siron K, Zulkifly A, Zakaria@Mohamad Z, Awang M. Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis. Cureus 2022 View
  81. Okunoye B, Ning S, Jemielniak D. Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends. JMIR Formative Research 2022;6(3):e29819 View
  82. Lan Y, Wu S, Lin Y. Utilizing Internet Search Volume to Monitor Stages of Change in Vaccine Hesitancy During the COVID-19 Outbreaks. Frontiers in Public Health 2022;10 View
  83. Calatayud A, Bedoya-Maya F, Sánchez González S, Giraldez F. Containing the spatial spread of COVID-19 through the trucking network. Transport Policy 2022;115:4 View
  84. Franzén A. Big data, big problems: Why scientists should refrain from using Google Trends. Acta Sociologica 2023;66(3):343 View
  85. 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
  86. Mick A, Tizek L, Schielein M, Zink A. Can crowdsourced data help to optimize atopic dermatitis treatment? Comparing web search data and environmental data in Germany. Journal of the European Academy of Dermatology and Venereology 2022;36(4):557 View
  87. Robinson E, Jones A. Hangover-Related Internet Searches Before and During the COVID-19 Pandemic in England: Observational Study. JMIR Formative Research 2023;7:e40518 View
  88. 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
  89. Kushwaha S, Khanna P, Jain R, Srivastava R. Determining the nutritional immunity information-seeking behaviour during the COVID-19 pandemic in India: a Google Trends data analysis. Public Health Nutrition 2021;24(16):5338 View
  90. Bojo-Canales C, Sanz-Lorente M, Sanz-Valero J. Tendencias de las búsquedas de información sobre las colecciones SciELO, Redalyc y Dialnet realizadas a través de Google. Revista Española de Documentación Científica 2021;44(2):e294 View
  91. 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
  92. Amusa L, Twinomurinzi H, Okonkwo C. Modeling COVID-19 incidence with Google Trends. Frontiers in Research Metrics and Analytics 2022;7 View
  93. Precup G, Pocol C, Teleky B, Vodnar D. Awareness, Knowledge, and Interest about Prebiotics—A Study among Romanian Consumers. International Journal of Environmental Research and Public Health 2022;19(3):1208 View
  94. Huemer M, Jahn-Kuch D, Hofmann G, Andritsch E, Farkas C, Schaupp W, Masel E, Jost P, Pichler M. Trends and Patterns in the Public Awareness of Palliative Care, Euthanasia, and End-of-Life Decisions in 3 Central European Countries Using Big Data Analysis From Google: Retrospective Analysis. Journal of Medical Internet Research 2021;23(9):e28635 View
  95. Nugroho R, Rahmawati A, Prakoso S, Nurhaeni I, Kartinawanty A, Parwiyanto H. Policy issues on covid-19 waste: comparing Indonesia and Taiwan. IOP Conference Series: Earth and Environmental Science 2021;905(1):012113 View
  96. Schober A, Tizek L, Johansson E, Ekebom A, Wallin J, Buters J, Schneider S, Zink A. Monitoring disease activity of pollen allergies: What crowdsourced data are telling us. World Allergy Organization Journal 2022;15(12):100718 View
  97. Gupta R, Pakhchanian H, Raiker R, Asahi M, Raparla N, Belyea D. Public Interest in Refractive Diseases and Treatments During the COVID-19 Pandemic: A Google Trends Analysis. Cureus 2021 View
  98. Sanz-Lorente M, Moles-Caballero N, Wanden-Berghe C, Sanz-Valero J. Documentary quality versus veracity of information of the websites on syphilis and gonorrhea. Scientometrics 2021;126(11):8775 View
  99. Liu Z, Jiang Z, Kip G, Snigdha K, Xu J, Wu X, Khan N, Schultz T. An infodemiological framework for tracking the spread of SARS-CoV-2 using integrated public data. Pattern Recognition Letters 2022;158:133 View
  100. Ageel M, Chiew Y. Pandemic Critical Care Research during the COVID-19 (2020-2022): A Bibliometric Analysis Using VOSviewer. BioMed Research International 2022;2022:1 View
  101. Mao Y, Wang P, Wang X, Ye D. Global Public Interest and Seasonal Variations in Alzheimer's Disease: Evidence From Google Trends. Frontiers in Medicine 2021;8 View
  102. Ito T. Global monitoring of public interest in preventive measures against COVID-19 via analysis of Google Trends: an infodemiology and infoveillance study. BMJ Open 2022;12(8):e060715 View
  103. Kłak A, Furmańczyk K, Nowicka P, Mańczak M, Barańska A, Religioni U, Siekierska A, Ambroziak M, Chłopek M. The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study. International Journal of Environmental Research and Public Health 2022;19(20):13275 View
  104. Salbaş E, Ketenci S. Infodemiology of Bell’s palsy: Tracing the seasonality of facial paralysis. Journal of Back and Musculoskeletal Rehabilitation 2022;35(3):615 View
  105. 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
  106. Aragón-Ayala C, Copa-Uscamayta J, Herrera L, Zela-Coila F, Quispe-Juli C. Interest in COVID-19 in Latin America and the Caribbean: an infodemiological study using Google Trends. Cadernos de Saúde Pública 2021;37(10) View
  107. . 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
  108. Portugal-Nunes C, Nunes F, Saraiva C, Gonçalves C. Public interest in food sustainability: an infodemiology study of Google trends data in Europe from 2010–2021. International Journal of Food Sciences and Nutrition 2023;74(1):95 View
  109. Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. Trends and Seasonality of Information Searches Carried Out through Google on Nutrition and Healthy Diet in Relation to Occupational Health: Infodemiological Study. Nutrients 2021;13(12):4300 View
  110. Martin S, Lopez-Martin E, Moreno-Pulido A, Meier R, Castro M. The Future of Educational Technologies for Engineering Education. IEEE Transactions on Learning Technologies 2021;14(5):613 View
  111. Yalcin B. Worldwide trends in online searches for the term SPA. Studia Periegetica 2022;37(1):151 View
  112. 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
  113. GRIGORYAN B, GRIGORYAN T. FORECASTING VIX INDEX AS A MEASURE OF MARKET VOLATILITY BY THE USE OF GOOGLE QUERIES. ALTERNATIVE 2022:241 View
  114. Celaj S, Ganesh S, Hughes C, Weidensall J, Caruso C, Humar A, Duarte-Rojo A. Nationwide marketing as a tool to increase literacy and awareness for living liver donation. Annals of Hepatology 2022;27(6):100768 View
  115. Bhatia S, Jason L. Using Data Mining and Time Series to Investigate ME and CFS Naming Preferences. Journal of Disability Policy Studies 2024;35(1):65 View
  116. Ghaly M, Jaber D, Matthaei M, Cursiefen C, Händel A, Köberlein-Neu J, Hörster R, Siebelmann S. Correlation of internet search enquiries, incidence of ophthalmological diseases and corneal, cataract and refractive surgical procedures. Scientific Reports 2022;12(1) View
  117. Klaver P, Rohlfing K. Challenges in developmental psychology, a focus on Sustainable Development. Frontiers in Psychology 2022;13 View
  118. Adu W, Appiahene P, Afrifa S. VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends. Journal of Electrical Systems and Information Technology 2023;10(1) View
  119. Zhao X, Coxe S, Timmons A, Frazier S. Mental Health Information Seeking Online: A Google Trends Analysis of ADHD. Administration and Policy in Mental Health and Mental Health Services Research 2022;49(3):357 View
  120. Phillips B, Burgess K, Willis C, Gaston K. Monitoring public engagement with nature using Google Trends. People and Nature 2022;4(5):1216 View
  121. Maugeri A, Barchitta M, Basile G, Agodi A. How COVID-19 Has Influenced Public Interest in Antimicrobials, Antimicrobial Resistance and Related Preventive Measures: A Google Trends Analysis of Italian Data. Antibiotics 2022;11(3):379 View
  122. Kulkarni V, Okoye G, Garza L, Wongvibulsin S. Geospatial Heterogeneity of Hidradenitis Suppurativa Searches in the United States: Infodemiology Study of Google Search Data. JMIR Dermatology 2022;5(2):e34594 View
  123. Izhar T, Torabi T. Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia. International Journal of Information Technology 2022;14(2):675 View
  124. Jerrim J. Has Peak PISA passed? An investigation of interest in International Large-Scale Assessments across countries and over time. European Educational Research Journal 2024;23(3):450 View
  125. Raubenheimer J. A PRACTICAL ALGORITHM FOR EXTRACTING MULTIPLE DATA SAMPLES FROM GOOGLE TRENDS EXTENDED FOR HEALTH. American Journal of Epidemiology 2022;191(9):1666 View
  126. Richman J, Roberts R. Assessing Spurious Correlations in Big Search Data. Forecasting 2023;5(1):285 View
  127. 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
  128. Zhao X, Hayes T, Timmons A, Wu W, Frazier S. Unpacking Inequities in ADHD Diagnosis: Examining Individual-Level Race/Ethnicity and State-Level Online Information-Seeking Patterns. Administration and Policy in Mental Health and Mental Health Services Research 2023;50(4):576 View
  129. Pérez-Rave J, Maya-Restrepo M, González-Echavarría F. Do Internet search patterns predict election results? An analysis of the 2022 presidential election in Colombia using a reproducible descriptive analytics framework. DYNA 2023;90(225):64 View
  130. Thongmak M. What Google-based data can tell us about information systems theory: A review. Journal of Information Science 2023 View
  131. 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
  132. 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
  133. Sharma P, Singh S, Balhara Y. Impact of the Lockdown Following COVID-19 on Online Interest for Digital Gaming in India. Indian Journal of Social Psychiatry 2021;37(3):335 View
  134. ÖZDEMİR S. Yeni Bir Veri Analiz Alanı: İnfodepidemiyoloji. Sağlık Bilimlerinde Değer 2023;13(2):291 View
  135. Bhagavathula A, Bansil S, Nishimura Y. Google Trends in Breast and Cervical Cancer Searches From 2008 to 2021: An Infodemiology Study. Cureus 2023 View
  136. Diaz-Balteiro L, Alfranca O, Voces R, Soliño M. Using google search patterns to explain the demand for wild edible mushrooms. Forest Policy and Economics 2023;152:102993 View
  137. Krywalski Santiago J. The progression in employer branding and employee based brand equity: Scholar API based systematic literature review. Journal of Economics and Management 2023;45:237 View
  138. 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
  139. Zeman P. Tick-Bite “Meteo”-Prevention: An Evaluation of Public Responsiveness to Tick Activity Forecasts Available Online. Life 2023;13(9):1908 View
  140. 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
  141. Kim Y, Kim Y. Global regionalization of heat environment quality perception based on K-means clustering and Google trends data. Sustainable Cities and Society 2023;96:104710 View
  142. Pasha H. Smart access and smart protection for welfare gain in Europe during COVID‐19: An empirical investigation using real‐time data. Bulletin of Economic Research 2024;76(1):41 View
  143. Alibudbud R. Wikipedia page views for health research: a review. Frontiers in Big Data 2023;6 View
  144. Skrzypczak T, Skrzypczak A, Skrzypczak M. Implications of Public Interest in Colonoscopy: Analysis of Google Trends Data From 12 European Countries. Cureus 2023 View
  145. 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
  146. Lenzi F, Iazzetta F. Mapping obesity and diabetes’ representation on Twitter: the case of Italy. Frontiers in Sociology 2023;8 View
  147. AYDEMİR M. Etkileşimli Yayıncılık Sistemi ve İçerik Endüstrisi İlişkisi Üzerine Bir Analiz. HUMANITAS - Uluslararası Sosyal Bilimler Dergisi 2023;11(INCSOS VIII Özel Sayısı):1 View
  148. Costa I, Nisa M, Ferreira L. Online Search Patterns about Vaccination: A National Study. Portuguese Journal of Public Health 2022;40(3):134 View
  149. 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
  150. Kamiński M, Czarny J, Skrzypczak P, Sienicki K, Roszak M. The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review. Journal of Medical Internet Research 2023;25:e47582 View
  151. Tan S, Tang M, Ong C, Tan V, Shannon N. Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis. JMIR Cancer 2023;9:e39105 View
  152. 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 2024;20(4):289 View
  153. 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
  154. Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. Occupational Health Applied Infodemiological Studies of Nutritional Diseases and Disorders: Scoping Review with Meta-Analysis. Nutrients 2023;15(16):3575 View
  155. Kamiński M, Hrycaj P. Celebrities influence on rheumatic diseases interest: a Google Trends analysis. Rheumatology International 2023;44(3):517 View
  156. Juanchich M, Sirota M, Holford D. How Should Doctors Frame the Risk of a Vaccine’s Adverse Side Effects? It Depends on How Trustworthy They Are. Medical Decision Making 2023;43(7-8):835 View
  157. Yeung A, Parvanov E, Horbańczuk J, Kletecka-Pulker M, Kimberger O, Willschke H, Atanasov A. Public interest in different types of masks and its relationship with pandemic and policy measures during the COVID-19 pandemic: a study using Google Trends data. Frontiers in Public Health 2023;11 View
  158. Bayram H, Ozturkcan A. Public interest in weight loss and diet-related topics in Europe: an infodemiology study of Google trends data from 2004–2022. International Journal of Food Sciences and Nutrition 2023;74(4):568 View
  159. Thakur N, Cui S, Patel K, Azizi N, Knieling V, Han C, Poon A, Shah R. Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior. Computation 2023;11(11):234 View
  160. Knoble C, Yu D. Bridging the Gap: Analyzing the Relationship between Environmental Justice Awareness on Twitter and Socio-Environmental Factors Using Remote Sensing and Big Data. Remote Sensing 2023;15(23):5510 View
  161. Reny T, Newman B, Holbein J, Hassell H, Ognyanova K. Public mass shootings cause large surges in Americans’ engagement with gun policy. PNAS Nexus 2023;2(12) View
  162. 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
  163. 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
  164. 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
  165. Olsson S, Sreepad B, Lee T, Fasih M, Fijany A. Public Interest in Acetyl Hexapeptide-8: Longitudinal Analysis. JMIR Dermatology 2024;7:e54217 View
  166. Wang Y, Shi W, Sun Y, Yeh C. A Novel Framework to Forecast COVID-19 Incidence Based on Google Trends Search Data. IEEE Transactions on Computational Social Systems 2024;11(1):1352 View
  167. Ditlhokwa G, Cann V. Postcolonial Analysis of Transcultural News Frames: A Case Study of Facebook Rebranding. Journal of Transcultural Communication 2024 View
  168. Cebrián E, Domenech J. Addressing Google Trends inconsistencies. Technological Forecasting and Social Change 2024;202:123318 View
  169. Gilson A, Chen Q, Adelman R. Ophthalmic care may not align with patient need: An analysis on state-wide patient needs and provider density between 2008 and 2022. International Journal of Medical Informatics 2024;185:105411 View
  170. 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
  171. Bełej M. Exploring Public Interest in Limited-Use Areas and Compensation from Airports in Poland: A Google Trends Analysis. Real Estate Management and Valuation 2024;32(3):64 View
  172. Shih D, Wu Y, Wu T, Chang S, Shih M. Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance. Journal of Clinical Medicine 2024;13(7):1946 View
  173. Gaudiano M, Aureli F, Manna L, Borioni A, Maccelli A, Raimondo M, De Giorgi D, Bartolomei M. Illegal products containing selective androgen receptor modulators purchased online from Italy: health risks for consumers. Sexual Medicine 2024;12(2) View
  174. 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;13(2):358 View
  175. 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
  176. Lim J, Hwang J. Exploring diverse interests of collaborators in smart cities: A topic analysis using LDA and BERT. Heliyon 2024;10(9):e30367 View
  177. Drouaud A, Antar R, Xu V, Nagao P, Tafuri S, Whalen M. Online Interest in Urology Residency: A Comprehensive Analysis of Current Internet Temporal and Geographic Patterns. International Medical Education 2024;3(2):160 View
  178. Romeiser J, Jusko N, Williams A. Emerging Trends in Information-Seeking Behavior for Alpha-Gal Syndrome: Infodemiology Study Using Time Series and Content Analysis. Journal of Medical Internet Research 2024;26:e49928 View
  179. Martínez-Aguilar L, Sanz-Lorente M, Martínez-Martínez F, Faus M, Sanz-Valero J. Public interest in drug-related problems reflected in information search trends: an infodemiological study. DARU Journal of Pharmaceutical Sciences 2024;32(2):537 View
  180. Niedermeier M, Makary M. Exploring the online landscape of interventional radiology: a global analysis of search trends. Clinical Radiology 2024;79(9):e1134 View
  181. Smith A, Graña J, Alibudbud R, Ventriglio A, Buadze A, Liebrenz M. Mental health and the ballot box: A correlational analysis of Google searches for mental health and national election periods in the United States and the United Kingdom from 2008 to 2020. International Journal of Social Psychiatry 2024;70(6):1155 View
  182. Marques D. Searching for cognitive behavioral therapy for insomnia on Google: an infodemiological perspective. SLEEP 2024;47(9) View
  183. Temel M, Erden Y, Bağcıer F. A surge in queries: Analyzing the increased public interest in dry needling using Google trends – A cross-sectional observational study. Journal of Bodywork and Movement Therapies 2024;40:953 View
  184. Uslu E, Yıldırım N. MULTİPL SKLEROZ HAKKINDA MERAK EDİLENLER: GOOGLE TREND VERİLERİ. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 2024;13(2):736 View
  185. Thakur N, Han C. Country-Specific Interests towards Fall Detection from 2004–2021: An Open Access Dataset and Research Questions. Data 2021;6(8):92 View
  186. Aldhahwani B, Shaheen A, Tibi C, Capo H, Cavuoto K. Gauging Public Interest in Pediatric Ophthalmology Conditions Using Google Trends. Journal of Pediatric Ophthalmology & Strabismus 2024;61(4) View
  187. Yoldaş T, Kaya G, Parmaksız A, Işıklar H, Günalan E. Nutritional analysis of vegan recipes: From social media to plate. Food Science & Nutrition 2024;12(10):7657 View
  188. Portugal-Nunes C, Cheng L, Briote M, Saraiva C, Nunes F, Gonçalves C. COVID-19 Changes Public Awareness about Food Sustainability and Dietary Patterns: A Google Trends Analysis. Nutrients 2022;14(22):4898 View
  189. Wang Y, Ran L, Jiao W, Xia Y, Lan Y. The predation relationship between online medical search and online medical consultation—empirical research based on Baidu platform data. Frontiers in Public Health 2024;12 View
  190. O’Flanagan A, Senkbeil J, Keellings D. Understanding Public Attention to Heat Wave Information. Papers in Applied Geography 2024:1 View
  191. Vidal M, Tantengco O, Amosco M. Regional differences in online interest in COVID-19 infection and COVID-19 vaccine in pregnancy: A Google Trends analysis. Philippine Journal of Obstetrics and Gynecology 2023;47(4):190 View
  192. Jindal H, Jindal P, Jamir L, Faujdar D, Datta H. Global Change in Interest toward Yoga for Mental Health Ailments during Coronavirus Disease-19 Pandemic. International Journal of Yoga 2021;14(2):109 View
  193. Nichols L, Goforth A, Sacra M, Ahlers K. Collaboration to Support Rural Student Social-Emotional Needs. The Rural Educator 2018;38(1) View
  194. Pérez Rave J, Fernández Guerrero R, Salas Vallina A. Validation of a dispositional critical thinking scale using an original analytical methodology for addressing data from Google Trends. Baltic Journal of Management 2024;19(5):512 View
  195. Knoble C, Fabolude G, Vu A, Yu D. From crisis to prevention: mining big data for public health insights during the flint water crisis. Discover Sustainability 2024;5(1) View
  196. Gummer T, Oehrlein A. Using Google Trends Data to Study High-Frequency Search Terms: Evidence for a Reliability-Frequency Continuum. Social Science Computer Review 2024 View

Books/Policy Documents

  1. Schwand C, Kotek K. Werbegeschichte(n). View
  2. Nguyen T, Gosine R, Warrian P. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3. View
  3. Ghosh A, Choudhury S, Narasimha V. Handbook of Substance Misuse and Addictions. View
  4. Ghosh A, Choudhury S, Narasimha V. Handbook of Substance Misuse and Addictions. View
  5. Konidaris A, Stellatou O, Polykalas S, Vardikou C. Transcending Borders in Tourism Through Innovation and Cultural Heritage. View
  6. Thakur N, Han C. Human Interaction, Emerging Technologies and Future Systems V. View
  7. Galido A, Ecleo J. Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022). View
  8. Rahulraj P, Sanil J, Anoop V, Asharaf S. Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023. View
  9. Thakur N, Khanna K, Cui S, Azizi N, Liu Z. HCI International 2023 – Late Breaking Papers. View
  10. Zahra F, Bostanci Y, Tokgozlu O, Turkoglu M, Soyturk M. Recent Advances in Microelectronics Reliability. View