Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.05.21.20108910v1, first published .
Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags

Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags

Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags

Journals

  1. Zhen J, Hakmeh W. Siblings with pediatric sodium chlorite toxicity causing methemoglobinemia, renal failure and hemolytic anemia. The American Journal of Emergency Medicine 2021;42:262.e3 View
  2. Rios R, Zheng K, Zheng M. Data sharing during COVID-19 pandemic: what to take away. Expert Review of Gastroenterology & Hepatology 2020;14(12):1125 View
  3. Magoon R, Ohri R. Compounded research challenges amid the COVID-19 pandemic. Anaesthesia Critical Care & Pain Medicine 2020;39(6):689 View
  4. 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
  5. Nsoesie E, Cesare N, Müller M, Ozonoff A. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study. Journal of Medical Internet Research 2020;22(12):e24425 View
  6. 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
  7. Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
  8. 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
  9. Suppan M, Abbas M, Catho G, Stuby L, Regard S, Achab S, Harbarth S, Suppan L. Impact of a Serious Game (Escape COVID-19) on the Intention to Change COVID-19 Control Practices Among Employees of Long-term Care Facilities: Web-Based Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(3):e27443 View
  10. Banerjee D, Meena K. RETRACTED: COVID-19 as an “Infodemic” in Public Health: Critical Role of the Social Media. Frontiers in Public Health 2021;9 View
  11. Araujo Pinto P, Sá Brasileiro F, Antunes M, Almeida A. COVID-19 no Instagram: práticas de comunicação estratégica das autoridades de saúde durante a pandemia. Comunicação pública 2020;(Vol.15 nº 29) View
  12. Bour C, Ahne A, Schmitz S, Perchoux C, Dessenne C, Fagherazzi G. The Use of Social Media for Health Research Purposes: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25736 View
  13. 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
  14. Taber P, Staes C, Phengphoo S, Rocha E, Lam A, Del Fiol G, Maviglia S, Rocha R. Developing a sampling method and preliminary taxonomy for classifying COVID-19 public health guidance for healthcare organizations and the general public. Journal of Biomedical Informatics 2021;120:103852 View
  15. 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
  16. Alshahrani R, Babour A. An Infodemiology and Infoveillance Study on COVID-19: Analysis of Twitter and Google Trends. Sustainability 2021;13(15):8528 View
  17. Pian W, Chi J, Ma F. The causes, impacts and countermeasures of COVID-19 “Infodemic”: A systematic review using narrative synthesis. Information Processing & Management 2021;58(6):102713 View
  18. Dow B, Johnson A, Wang C, Whitson J, Menon T. The COVID‐19 pandemic and the search for structure: Social media and conspiracy theories. Social and Personality Psychology Compass 2021;15(9) View
  19. Abdeen M, Hamed A, Wu X. Fighting the COVID-19 Infodemic in News Articles and False Publications: The NeoNet Text Classifier, a Supervised Machine Learning Algorithm. Applied Sciences 2021;11(16):7265 View
  20. Keselman A, Arnott Smith C, Leroy G, Kaufman D. Factors Influencing Willingness to Share Health Misinformation Videos on the Internet: Web-Based Survey. Journal of Medical Internet Research 2021;23(12):e30323 View
  21. Keykhaei M, Koolaji S, Mohammadi E, Kalantar R, Saeedi Moghaddam S, Aminorroaya A, Zokaei S, Azadnajafabad S, Rezaei N, Ghasemi E, Rezaei N, Haghshenas R, Farzi Y, Rashedi S, Larijani B, Farzadfar F. Dissection of non-pharmaceutical interventions implemented by Iran, South Korea, and Turkey in the fight against COVID-19 pandemic. Journal of Diabetes & Metabolic Disorders 2021;20(2):1919 View
  22. 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
  23. Valenti A, Mirabile M, Cannone E, Boccuni F, Dionisi P, Fortuna G, Gagliardi D, Vizzaccaro R, Iavicoli S. The Impact of COVID-19 Pandemics on the Development of Health Risk Communication: Challenges and Opportunities. International Journal of Environmental Research and Public Health 2022;20(1):645 View
  24. An L, Russell D, Mihalcea R, Bacon E, Huffman S, Resnicow K. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. JMIR Infodemiology 2021;1(1):e32127 View
  25. Quinn E, Heer E, Fazel S, Peters C. The Instagram Infodemic Persists: Extreme Content Escapes Platform's Removal Tactics. Cyberpsychology, Behavior, and Social Networking 2022;25(11):752 View
  26. 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
  27. Htay M, Parial L, Tolabing M, Dadaczynski K, Okan O, Leung A, Su T, Padhi B. Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia. PLOS ONE 2022;17(4):e0266276 View
  28. Park J, Mistur E, Kim D, Mo Y, Hoefer R. Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of COVID-19 policy in transportation hubs. Sustainable Cities and Society 2022;76:103524 View
  29. 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
  30. 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
  31. Singh A, Mehan P, Sharma D, Pandey R, Sethi T, Kumaraguru P. COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis. JMIR Public Health and Surveillance 2022;8(1):e26868 View
  32. Correa-Rodríguez M, Rueda-Medina B, Callejas-Rubio J, Ríos-Fernández R, de la Hera-Fernández J, Ortego-Centeno N. COVID-19 vaccine literacy in patients with systemic autoimmune diseases. Current Psychology 2023;42(16):13769 View
  33. Bendezu-Quispe G, Benites-Meza J, Urrunaga-Pastor D, Herrera-Añazco P, Uyen-Cateriano A, Rodriguez-Morales A, Toro-Huamanchumo C, Hernandez A, Benites-Zapata V. Mass Media Use to Learn About COVID-19 and the Non-intention to Be Vaccinated Against COVID-19 in Latin America and Caribbean Countries. Frontiers in Medicine 2022;9 View
  34. Kanmodi K, Abolade O, Amzat J, Nnyanzi L. Analysis of Global Search and Research Interests on Dentists Using Infoveillance and Bibliometric Approaches. Oral 2022;3(1):11 View
  35. Lotto M, Sá Menezes T, Zakir Hussain I, Tsao S, Ahmad Butt Z, P Morita P, Cruvinel T. Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study. Journal of Medical Internet Research 2022;24(5):e37519 View
  36. AlHajri L, Mohamed H. Measuring the Level of Knowledge and Awareness About COVID-19 Among the Community of a College in Dubai: A Comparative Study Between Participants of Health Sciences and Non-Health Sciences Backgrounds. SAGE Open 2022;12(2):215824402210917 View
  37. Yang Y, Ta N, Li Z. Investigating the Obsessive and Compulsive Features of Cyberchondria: A Holistic Review. Frontiers in Psychology 2022;13 View
  38. Chen J, Mi H, Fu J, Zheng H, Zhao H, Yuan R, Guo H, Zhu K, Zhang Y, Lyu H, Zhang Y, She N, Ren X. Construction and validation of a COVID-19 pandemic trend forecast model based on Google Trends data for smell and taste loss. Frontiers in Public Health 2022;10 View
  39. Harb M, Silva L, Ayass T, Vijaykumar N, Silva M, Francês C. Dendrograms for Clustering in Multivariate Analysis: Applications for COVID-19 Vaccination Infodemic Data in Brazil. Computation 2022;10(9):166 View
  40. Khosrowjerdi M, Fylking C, Zeraatkar N. Online information seeking during the COVID-19 pandemic: A cross-country analysis. IFLA Journal 2023;49(2):328 View
  41. Rovetta A. Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis. JMIRx Med 2022;3(2):e35356 View
  42. Raquel C, Ribeiro K, Alencar N, Souza D, Barreto I, Andrade L. Os caminhos da ciência para enfrentar fake news sobre covid-19. Saúde e Sociedade 2022;31(4) View
  43. Gualda E, Krouwel A, Palacios-Gálvez M, Morales-Marente E, Rodríguez-Pascual I, García-Navarro E. Social Distancing and COVID-19: Factors Associated With Compliance With Social Distancing Norms in Spain. Frontiers in Psychology 2021;12 View
  44. Jo W, Kim Y, Seo M, Lee N, Park J. Online information analysis on pancreatic cancer in Korea using structural topic model. Scientific Reports 2022;12(1) View
  45. Raquel C, Ribeiro K, Alencar N, Souza D, Barreto I, Andrade L. Scientific ways to confront covid-19 fake news. Saúde e Sociedade 2022;31(4) View
  46. 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
  47. Gaspar R, Domingos S, Toscano H, Filipe J, Leiras G, Raposo B, Pereira C, Godinho C, Francisco R, Silva C, Arriaga M. Crises social sensing: longitudinal monitoring of social perceptions of systemic risk during public health crisis. Journal of Risk Research 2023;26(4):345 View
  48. Henson C, Rambaldini B, Carlson B, Wadolowski M, Vale C, Gwynne K. A new path to address health disparities: How older Aboriginal & Torres Strait Islander women use social media to enhance community health (Protocol). DIGITAL HEALTH 2022;8:205520762210844 View
  49. Mello S, Glowacki E, Fuentes I, Seabolt J. Communicating COVID-19 Risk on Instagram: A Content Analysis of Official Public Health Messaging During the First Year of the Pandemic. Journal of Health Communication 2023;28(1):38 View
  50. 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
  51. Chen X, Neo L, Ang A, Lee J, Ong G, Khader M. The nexus between information disorder and terrorism: a mix of machine learning approach and content analysis on 39 terror attacks. Dynamics of Asymmetric Conflict 2022;15(3):190 View
  52. Posada R, Waldman R, Chory A, Martin R, Cohen A, Chiacchia S, Childs J, Enane L, Vreeman R. Longitudinal impacts of the COVID-19 pandemic on adolescents living with HIV in New York City. AIDS Care 2023;35(5):629 View
  53. Quach H, Pham T, Hoang N, Phung D, Nguyen V, Le S, Le T, Bui T, Le D, Dang A, Tran D, Ngu N, Vogt F, Nguyen C, Sung W. Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020. PLOS ONE 2022;17(4):e0266299 View
  54. Nikolić V, Subotić N, Subotić J, Marković-Denić L. Google trends as an aid in predicting the course of the COVID-19 epidemic in Serbia. Medicinski casopis 2021;55(2):59 View
  55. Yoo P, Movahed M, Rue I, Santos C, Majnemer A, Shikako K. Changes in Use of a Leisure Activity Mobile App for Children With Disabilities During the COVID-19 Pandemic: Retrospective Study. JMIR Pediatrics and Parenting 2022;5(1):e32274 View
  56. 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
  57. Martínez-Caballero C, Cárdaba-García R, Varas-Manovel R, García-Sanz L, Martínez-Piedra J, Fernández-Carbajo J, Pérez-Pérez L, Madrigal-Fernández M, Barba-Pérez M, Olea E, Durantez-Fernández C, Herrero-Frutos M. Analyzing the Impact of COVID-19 Trauma on Developing Post-Traumatic Stress Disorder among Emergency Medical Workers in Spain. International Journal of Environmental Research and Public Health 2021;18(17):9132 View
  58. Aslani N, Behmanesh A, Davoodi F, Garavand A, Shams R. Infodemic Challenges During COVID-19 Pandemic and the Strategies to Deal with Them: A Review Article. Archives of Clinical Infectious Diseases 2022;17(1) View
  59. Wong B, Ho S, Sit S, Gong W, Lai A, Wang M, Lam T. Association of family wellbeing with forwarding and verifying COVID-19-related information, and mediation of family communication quality. Frontiers in Public Health 2022;10 View
  60. Skarpa P, Garoufallou E. The plethora of information and individuals’ perceived feelings during COVID-19 pandemic in Greece. Global Knowledge, Memory and Communication 2024;73(4/5):538 View
  61. LaPoe B, Carter Olson C, LaPoe V, Jain P, Woellert A, Long A. Politics, Power and a Pandemic: Searching for Information and Accountability During a Twitter Infodemic. Electronic News 2022;16(1):30 View
  62. Borah P, Austin E, Su Y. Injecting Disinfectants to Kill the Virus: Media Literacy, Information Gathering Sources, and the Moderating Role of Political Ideology on Misperceptions about COVID-19. Mass Communication and Society 2023;26(4):566 View
  63. Žemaitienė N, Kukulskienė M, Miglinė V, Kubilienė L, Urbonaitė G, Digrytė-Šertvytienė L, Norė A, Šmigelskas K. Psychological Aspects of Media Communication during the COVID-19 Pandemic: Insights from Healthcare and Pharmacy Specialists in Lithuania. Healthcare 2021;9(10):1297 View
  64. Turner J, Kantardzic M, Vickers-Smith R. Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis. Journal of Medical Internet Research 2021;23(12):e27307 View
  65. van Mulukom V, Pummerer L, Alper S, Bai H, Čavojová V, Farias J, Kay C, Lazarevic L, Lobato E, Marinthe G, Pavela Banai I, Šrol J, Žeželj I. Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review. Social Science & Medicine 2022;301:114912 View
  66. Morita P, Zakir Hussain I, Kaur J, Lotto M, Butt Z. Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Journal of Medical Internet Research 2023;25:e44356 View
  67. Bisht H, Tripath A, Thakor S, Shetty S, Meyur S, Raval G. “MONKEY POX DISEASE: AN INSTAGRAM ANALYSIS IN DISSEMINATING ACCURATE INFORMATION”. INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 2023:38 View
  68. Springer S, Strzelecki A, Zieger M. Maximum generable interest: A universal standard for Google Trends search queries. Healthcare Analytics 2023;3:100158 View
  69. Amzat J, Kanmodi K, Egbedina E. Infoveillance and bibliometric analysis of COVID‐19 in Nigeria. Public Health Challenges 2023;2(1) View
  70. Shekhar S, Mohanan M, Kandoth S. A Scientometric Analysis of COVID-19 and Social Media Marketing. International Journal of Social Ecology and Sustainable Development 2023;14(1):1 View
  71. Zayed B, Talaia A, Gaaboobah M, Amer S, Mansour F. Google Trends as a predictive tool in the era of COVID-19: a scoping review. Postgraduate Medical Journal 2023;99(1175):962 View
  72. Jin D, Hu Y, Chen J, Xia M. Stock Price Trends Prediction Based on the Classical Models with Key Information Fusion of Ontologies. ACM Transactions on Asian and Low-Resource Language Information Processing 2023;22(5):1 View
  73. Israel-Turim V, Laferrara V, Rego A, Micó-Sanz J. Misinformation about the COVID-19 Vaccine in Online Catholic Media. Vaccines 2023;11(6):1054 View
  74. Lenti J, Mejova Y, Kalimeri K, Panisson A, Paolotti D, Tizzani M, Starnini M. Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study. JMIR Infodemiology 2023;3:e44714 View
  75. Ng J, Liu S, Maini I, Pereira W, Cramer H, Moher D. Complementary, alternative, and integrative medicine-specific COVID-19 misinformation on social media: A scoping review. Integrative Medicine Research 2023;12(3):100975 View
  76. 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
  77. Pinto P, Antunes M, Almeida A, Renó D. Instagram Use and Equity in Public Health: A Study on Brazil and Portugal During the COVID-19 Pandemic. Canadian Journal of Communication 2023;48(3):474 View
  78. Deyneka O, Maksimenko A. What Do Nurses Think About the Immunization Campaign in Russia and the Prospects for the COVID-19 Pandemic Development?. Clinical Psychology and Special Education 2023;12(2):118 View
  79. Sauvayre R. Dissemination of a “Fake Miracle Cure” against COVID-19 on Twitter: The Case of Chlorine Dioxide. Social Sciences 2023;12(6):320 View
  80. Zeeb H, Schüz B, Schultz T, Pigeot I. Entwicklungen in der Digitalisierung von Public Health seit 2020. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):260 View
  81. Sudarsan A, Mahashabde R, Singh P, Philip J, Nerella R, Aranguri A. A Cross-sectional Instagram Survey to Evaluate Quality and Reliability of Information about Cholecystitis and Cholecystectomy. Journal of Primary Care Specialties 2024;5(1):36 View
  82. Becerra-García J, Barbeito S, Sánchez-Gutiérrez T. Vacunación COVID-19 y búsquedas web sobre salud mental: un estudio infodemiológico mundial. Vacunas 2024;25(2):224 View
  83. 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
  84. 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;22(6):794 View
  85. Marsall M, Dinse H, Schröder J, Skoda E, Teufel M, Bäuerle A. Assessing Electronic Health Literacy in Individuals With the Post–COVID-19 Condition Using the German Revised eHealth Literacy Scale: Validation Study. JMIR Formative Research 2024;8:e52189 View
  86. Becerra-García J, Barbeito S, Sánchez-Gutiérrez T. COVID-19 vaccination and web search on mental health: A worldwide infodemiological study. Vacunas (English Edition) 2024;25(2):224 View
  87. Suarez-Lledo V, Ortega-Martin E, Carretero-Bravo J, Ramos-Fiol B, Alvarez-Galvez J. Unraveling the use of disinformation hashtags by social bots during the Covid-19 pandemic: a networks analysis and community detection (Preprint). JMIR Infodemiology 2023 View
  88. Meinzenbach A, Kaatz M, Springer S, Zieger M. Repräsentation von Hautkarzinomen im öffentlichen Bewusstsein – Aufmerksamkeit weltweit und in Deutschland. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(6):794 View

Books/Policy Documents

  1. Wilcox S, Huzo O, Minhas A, Walters N, Adada J, Pennington M, Roseme L, Mohammed D, Dusic A, Zeine R. Handbook of Research on Cyberchondria, Health Literacy, and the Role of Media in Society’s Perception of Medical Information. View
  2. Apolinario-Arzube O, García-Díaz J, Roldán D, Prieto-González L, Casal G, Valencia-García R. Technologies and Innovation. View
  3. Al Sabei S. Mass Communications and the Influence of Information During Times of Crises. View
  4. Bitzer E, Schaefer C. Gesundheitskompetenz. View
  5. Feigenbaum A, McDougall J, Tonnesen O. Digital Inclusion. View