Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16206, first published .
Infodemiology and Infoveillance: Scoping Review

Infodemiology and Infoveillance: Scoping Review

Infodemiology and Infoveillance: Scoping Review

Authors of this article:

Amaryllis Mavragani1 Author Orcid Image

Journals

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  6. Zheluk A, Maddock J. Plausibility of Using a Checklist With YouTube to Facilitate the Discovery of Acute Low Back Pain Self-Management Content: Exploratory Study. JMIR Formative Research 2020;4(11):e23366 View
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  8. Gao Y, Xie Z, Sun L, Xu C, Li D. Electronic Cigarette–Related Contents on Instagram: Observational Study and Exploratory Analysis. JMIR Public Health and Surveillance 2020;6(4):e21963 View
  9. Hu Z, Yang Z, Li Q, Zhang A. The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms. Journal of Medical Internet Research 2020;22(11):e22639 View
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  42. Hirst Y, Stoffel S, Brewer H, Timotijevic L, Raats M, Flanagan J. Understanding Public Attitudes and Willingness to Share Commercial Data for Health Research: Survey Study in the United Kingdom. JMIR Public Health and Surveillance 2023;9:e40814 View
  43. 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
  44. Cheng C. Time-Series Associations between Public Interest in COVID-19 Variants and National Vaccination Rate: A Google Trends Analysis. Behavioral Sciences 2022;12(7):223 View
  45. 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
  46. Sajjadi N, Ottwell R, Shepard S, Bray N, Dyer R, Wilson J, Vassar M, Hartwell M. Assessing the United States’ most frequently asked questions about osteopathic medicine, osteopathic education, and osteopathic manipulative treatment. Journal of Osteopathic Medicine 2022;122(5):219 View
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  48. Purushothaman V, McMann T, Li Z, Cuomo R, Mackey T. Content and trend analysis of user-generated nicotine sickness tweets: A retrospective infoveillance study. Tobacco Induced Diseases 2022;20(March):1 View
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  50. Watanabe T, Yada S, Aramaki E, Yajima H, Kizaki H, Hori S. Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs. JMIR Cancer 2022;8(2):e37840 View
  51. Sun Y, Hu Q, Grossman S, Basnyat I, Wang P. Comparison of COVID-19 Information Seeking, Trust of Information Sources, and Protective Behaviors in China and the US. Journal of Health Communication 2021;26(9):657 View
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  54. Flores L, Young S. Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data. Minds and Machines 2022;32(4):759 View
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  58. . 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
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  61. Hartwell M, Hendrix-Dicken A, Sajjadi N, Bloom M, Gooch T, Conway L, Baxter M. Trends in public interest in child abuse in the United States: An infodemiology study of Google Trends from 2004 to 2022. Child Abuse & Neglect 2022;134:105868 View
  62. Liu J, Wright C, Williams P, Elizarova O, Dahne J, Bian J, Zhao Y, Tan A. Smokers’ Likelihood to Engage With Information and Misinformation on Twitter About the Relative Harms of e-Cigarette Use: Results From a Randomized Controlled Trial. JMIR Public Health and Surveillance 2021;7(12):e27183 View
  63. Pickering G, Mezouar L, Kechemir H, Ebel-Bitoun C. Paracetamol Use in Patients With Osteoarthritis and Lower Back Pain: Infodemiology Study and Observational Analysis of Electronic Medical Record Data. JMIR Public Health and Surveillance 2022;8(10):e37790 View
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  65. Taira K, Fujita S. Prediction of Age-Adjusted Mortality From Stroke in Japanese Prefectures: Ecological Study Using Search Engine Queries. JMIR Formative Research 2022;6(1):e27805 View
  66. Wang J, Young S, Lim M. Online personal ads and its implication for sexual health risks: an observational analysis of posts. Sexual Health 2022;19(2):122 View
  67. 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
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  74. Kinoshita T, Matsumoto T, Taura N, Usui T, Matsuya N, Nishiguchi M, Horita H, Nakao K. Public Interest and Accessibility of Telehealth in Japan: Retrospective Analysis Using Google Trends and National Surveillance. JMIR Formative Research 2022;6(9):e36525 View
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  123. Dobosz M, Radziwon J, Cubała W. Worldwide internet trends in the public interest related to skin whitening and bleaching creams. Journal of Cosmetic and Laser Therapy 2024:1 View

Books/Policy Documents

  1. Apolinario-Arzube O, García-Díaz J, Roldán D, Prieto-González L, Casal G, Valencia-García R. Technologies and Innovation. View
  2. Butt Z. Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry. View
  3. Batra K, Batra R, Sharma M. Effective Use of Social Media in Public Health. View
  4. McGowan B. Reference Module in Social Sciences. View