Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19791, first published .
Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study

Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study

Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study

Journals

  1. Laudanski K, Shea G, DiMeglio M, Restrepo M, Solomon C. What Can COVID-19 Teach Us about Using AI in Pandemics?. Healthcare 2020;8(4):527 View
  2. Saegner T, Austys D. Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review. International Journal of Environmental Research and Public Health 2022;19(19):12394 View
  3. Aghaei A, Aggarwal A, Zhang R, Li X, Qiao S. Resilience resources and coping strategies of COVID-19 female long haulers: A qualitative study. Frontiers in Public Health 2022;10 View
  4. Kłak A, Grygielska J, Mańczak M, Ejchman-Pac E, Owoc J, Religioni U, Olszewski R. Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country Analysis. International Journal of Environmental Research and Public Health 2022;19(3):1491 View
  5. Bagarić B, Jokić-Begić N. Online research on COVID-19—The role of content ranking and COVID-19 fear. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2022;16(5) View
  6. 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
  7. 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
  8. 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
  9. Yoda T, Suksatit B, Tokuda M, Katsuyama H. The Relationship between Sources of COVID-19 Vaccine Information and Willingness to Be Vaccinated: An Internet-Based Cross-Sectional Study in Japan. Vaccines 2022;10(7):1041 View
  10. Pendl D, Maitz K, Gasteiger-Klicpera B. Auf der Suche nach Gesundheitsinformationen im Internet. MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 2022:43 View
  11. DEMİRBAŞ M, KANTAŞ YILMAZ F. Covid-19 Pandemisinin Sosyal Medya Yansımaları: İçerik Analizi Çalışması. Sağlık ve Sosyal Refah Araştırmaları Dergisi 2022;4(2):218 View
  12. Pendl D, Maitz K, Gasteiger-Klicpera B. Examining the relationship between health literacy and individual and sociodemographic factors in secondary school students. Journal of Public Health 2024;32(3):531 View
  13. Verma N, Fleischmann K, Zhou L, Xie B, Lee M, Rich K, Shiroma K, Jia C, Zimmerman T. Trust in COVID‐19 public health information. Journal of the Association for Information Science and Technology 2022;73(12):1776 View
  14. Chen S, Yin S, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11 View
  15. Narayanan S, Basch C. YouTube and COVID-19 vaccines: A mini scoping review. Human Vaccines & Immunotherapeutics 2023;19(1) View
  16. Lem M, Kim J, Pham J, Tang C. Effect of the COVID-19 Pandemic on Global Interest in Plastic Surgery. JPRAS Open 2023;37:63 View
  17. Lan D, Ren W, Ni K, Zhu Y. Topic and Trend Analysis of Weibo Discussions About COVID-19 Medications Before and After China’s Exit from the Zero-COVID Policy: Retrospective Infoveillance Study. Journal of Medical Internet Research 2023;25:e48789 View
  18. Cuff J, Dighe S, Watson S, Badell-Grau R, Weightman A, Jones D, Kille P. Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study. JMIR Infodemiology 2023;3:e43891 View
  19. 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
  20. Shahbazi M, Bunker D. Social media trust: Fighting misinformation in the time of crisis. International Journal of Information Management 2024;77:102780 View
  21. Russkikh S, Tarasenkо Е, Kaunina D, Gorbacheva N, Vasiliev М, Zagdyn Z, Drobizhev М, Rotov V. Impact of medical bloggers’ activities on the prevention of disease risk, public, population and individual health: the opinion of social media users. Сибирский научный медицинский журнал 2024;44(2):172 View

Books/Policy Documents

  1. Fatima M, Rextin A, Nasim M, Yusuf O. Disinformation in Open Online Media. View
  2. Batra K, Batra R, Sharma M. Effective Use of Social Media in Public Health. View