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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22910, first published .
Online Health Information Seeking Using “#COVID-19 Patient Seeking Help” on Weibo in Wuhan, China: Descriptive Study

Online Health Information Seeking Using “#COVID-19 Patient Seeking Help” on Weibo in Wuhan, China: Descriptive Study

Online Health Information Seeking Using “#COVID-19 Patient Seeking Help” on Weibo in Wuhan, China: Descriptive Study

Authors of this article:

Xiaoman Zhao1, 2 Author Orcid Image ;   Ju Fan3 Author Orcid Image ;   Iccha Basnyat4 Author Orcid Image ;   Baijing Hu2 Author Orcid Image

Journals

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  23. Rudnik A, Anikiej-Wiczenbach P, Szulman-Wardal A, Conway P, Bidzan M. Offering Psychological Support to University Students in Poland During the COVID-19 Pandemic: Lessons Learned From an Initial Evaluation. Frontiers in Psychology 2021;12 View
  24. Zhao X, Basnyat I. Online information and support seeking during COVID-19 lockdown in Wuhan: implications for health promotion. Health Promotion International 2022;37(3) View
  25. Guo W, Bai Q. Pandemic and the media: How risk information seeking influences media trust and emotions. Computers in Human Behavior 2023;139:107522 View
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  35. Maheshwari D, Kunycky C, Jia X, Tangada A, Leung K, Solomon E. Patient-Focused Websites Related to Postpartum Pelvic Floor Health: A DISCERN Quality Analysis. Female Pelvic Medicine & Reconstructive Surgery 2022;28(4):240 View
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  41. Nishimura Y, Acoba J. Impact of Breast Cancer Awareness Month on Public Interest in the United States between 2012 and 2021: A Google Trends Analysis. Cancers 2022;14(10):2534 View
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  43. Hassan A, Bronzini M, Lamura G. Digital technologies as sources of information for patients and caregivers during COVID-19 pandemic: A cross-sectional survey. DIGITAL HEALTH 2023;9:205520762311562 View
  44. Mladenović D, Todua N, Pavlović-Höck N. Understanding individual psychological and behavioral responses during COVID-19: Application of stimulus-organism-response model. Telematics and Informatics 2023;79:101966 View
  45. Gong W, Liu J. Investigating the Predictors of Telemedicine Service Usage Intention in China During the COVID-19 Pandemic: An Extended Technology Acceptance Perspective. Telemedicine and e-Health 2023;29(9):1390 View
  46. Mesch G, Liu X. Differential media exposure and perceptions of fear and behavior change in China and Israel during the COVID-19 pandemic. New Media & Society 2023:146144482311646 View
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  50. Wu Q, Chen F. A Dual-Process Model of Promoting Employee Mental Health in Crises: Impacts of Leadership Health Support and Organizational Leaders’ Crisis Communication in COVID-19. Health Communication 2023:1 View
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  53. Harris K, Mayo Gamble T, Yoo M, Spell L, Minor T, Jones H, Lynch D. Leveraging mHealth to Mitigate the Impact of COVID-19 in Black American Communities: Qualitative Analysis. JMIR Human Factors 2023;10:e47294 View
  54. Li J, Lu Y, Peng Z, Yen D. A Chinese case to satisfy the patient journey: optimal service configuration for online health service platforms. Journal of Information Technology Case and Application Research 2024;26(1):4 View
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  62. Gou Y, Li R, Zhuang Z. China’s spatial and temporal position in the global research network of information behavior and its current development dynamics. Library Hi Tech 2024 View

Books/Policy Documents

  1. Gurung J, Pandey V, Mukherjee S, Saha S, Singh A, Jha A. Machine Learning in Information and Communication Technology. View
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