This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (819) Infodemiology and Infoveillance (1002) Tutorial (46) Infoveillance and Social Listening (134)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13439, 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 Mavragani 1 Author Orcid Image ;   Gabriela Ochoa 1 Author Orcid Image
Article Authors Cited by (194) Tweetations (4) Metrics

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  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. Determining Users' Interest Levels for Disasters Specific to Google Trend. IBAD Sosyal Bilimler Dergisi 2022 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 2022 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 2022:1 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 2021:520 View
  139. ERDEM SULTANOĞLU T, ATAOĞLU S. COVID-19 Pandemisi Döneminde Romatizmal Hastalıklara Halkın İlgisi: Google Trends Verilerinin Analizi. Sağlık Bilimlerinde Değer 2022:147 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 2022 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 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 2021:1 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 2022 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 2021 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 and implications for otolaryngology clinical practice: A Google Trends analysis. Asian Journal of Surgery 2023 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 2023:100158 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

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