Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24425, first published .
COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

Journals

  1. Zanville N, Cohen B, Gray T, Phillips J, Linder L, Starkweather A, Yeager K, Cooley M. The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19. Oncology Nursing Forum 2021;48(2):131 View
  2. Bressler M, Grudnikoff E, Bressler Y, Tamez R, Zampella J. Risks and Benefits of Using Social Media in Dermatology: Cross-sectional Questionnaire Study. JMIR Dermatology 2021;4(1):e24737 View
  3. Nsoesie E, Oladeji O, Abah A, Ndeffo-Mbah M. Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific Reports 2021;11(1) View
  4. Brigo F, Ponzano M, Sormani M, Clerico M, Abbadessa G, Cossu G, Trojsi F, Colucci F, Tortorella C, Miele G, Spina E, Artusi C, Carmisciano L, Servillo G, Bozzali M, Sparaco M, Leocani L, Lanzillo R, Tedeschi G, Bonavita S, Lavorgna L. Digital work engagement among Italian neurologists. Therapeutic Advances in Chronic Disease 2021;12:204062232110296 View
  5. Alshahrani R, Babour A. An Infodemiology and Infoveillance Study on COVID-19: Analysis of Twitter and Google Trends. Sustainability 2021;13(15):8528 View
  6. Purnat T, Vacca P, Czerniak C, Ball S, Burzo S, Zecchin T, Wright A, Bezbaruah S, Tanggol F, Dubé È, Labbé F, Dionne M, Lamichhane J, Mahajan A, Briand S, Nguyen T. Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations. JMIR Infodemiology 2021;1(1):e30971 View
  7. 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
  8. 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
  9. Matthes J, Corbu N, Jin S, Theocharis Y, Schemer C, van Aelst P, Strömbäck J, Koc-Michalska K, Esser F, Aalberg T, Cardenal A, Castro L, de Vreese C, Hopmann D, Sheafer T, Splendore S, Stanyer J, Stępińska A, Štětka V, Zoizner A. Perceived prevalence of misinformation fuels worries about COVID-19: a cross-country, multi-method investigation. Information, Communication & Society 2023;26(16):3133 View
  10. Akinyemi J, Agunbiade M, Salawu M, Eniade O, Yaya S, Fawole O. Perceptions of COVID-19 transmission risk and testing readiness in rural Southwest Nigeria. Scientific African 2022;17:e01334 View
  11. 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
  12. Charbonneau E, Mellouli S, Chouikh A, Couture L, Desroches S. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets. JMIR Infodemiology 2022;2(2):e38573 View
  13. Nshakira-Rukundo E, Whitehead A. Changing perceptions about COVID-19 risk and adherence to preventive strategies in Uganda: Evidence from an online mixed-methods survey.. Scientific African 2021;14:e01049 View
  14. León B, Martínez-Costa M, Salaverría R, López-Goñi I, Park C. Health and science-related disinformation on COVID-19: A content analysis of hoaxes identified by fact-checkers in Spain. PLOS ONE 2022;17(4):e0265995 View
  15. Gruzd A, Mai P, Soares F. How coordinated link sharing behavior and partisans’ narrative framing fan the spread of COVID-19 misinformation and conspiracy theories. Social Network Analysis and Mining 2022;12(1) View
  16. Tan E, Wee R, Saw Y, Heng K, Chin J, Tong E, Liu J. Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2021;23(12):e34218 View
  17. Xue B, Wu Y, Zheng X, Xue Y, Dong F, Xiao S, Yin M, Wang M, Liu Y, Zhang C. Effects of information sources on public preventive behaviors in health emergencies: Evidence from a digital epidemiologic study during the COVID-19 pandemic. Frontiers in Public Health 2022;10 View
  18. Cheatham S, Kummervold P, Parisi L, Lanfranchi B, Croci I, Comunello F, Rota M, Filia A, Tozzi A, Rizzo C, Gesualdo F. Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model. Frontiers in Public Health 2022;10 View
  19. Auerbach J, Forsyth A, Davey C, Hargreaves J. Living with COVID-19 and preparing for future pandemics: revisiting lessons from the HIV pandemic. The Lancet HIV 2023;10(1):e62 View
  20. Syed Z, Syed F, Thabane L, Rodrigues M. COVID-19 retracted publications on retraction watch: A systematic survey of their pre-prints and citations. Heliyon 2023;9(4):e15184 View
  21. Semple T, Fonzone A, Fountas G, Downey L. An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions. Transportation Research Part A: Policy and Practice 2023;178:103842 View
  22. Meng X, Dai C, Zhao Y, Zhou Y. Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread. Library Hi Tech 2024;42(2):447 View
  23. Arini H, Wijayanto T, Lathifah N, Mulyani Y, Rifai A, Liu X, Li J, Yin H. Detecting fake news during COVID-19 in Indonesia: the role of trust level. Journal of Communication in Healthcare 2023:1 View
  24. Zhang B, Naderi N, Mishra R, Teodoro D. Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation. JMIR AI 2024;3:e42630 View
  25. Broda E, Strömbäck J. Misinformation, disinformation, and fake news: lessons from an interdisciplinary, systematic literature review. Annals of the International Communication Association 2024;48(2):139 View
  26. Campos D, Muniz I, Brandão H, Shinkai R, Trindade T, Cosme-Trindade D. Adverse Effects of Natural Products in the Oral Mucosa and Face: A Scoping Review. Journal of Integrative and Complementary Medicine 2024 View
  27. Chu A, Kwok P, Chan J, So M. COVID-19 Pandemic Risk Assessment: Systematic Review. Risk Management and Healthcare Policy 2024;Volume 17:903 View