This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2458) Information Seeking, Information Needs (478) Outbreak and Pandemic Preparedness and Management (1739) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

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
Article Authors Cited by (75) Tweetations (3) Metrics

Journals

  1. Pang P, Cai Q, Jiang W, Chan K. Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao. International Journal of Environmental Research and Public Health 2021;18(7):3508 View
  2. Guo Z, Zhao S, Guo N, Wu Y, Weng X, Wong J, Lam T, Wang M. Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors During the COVID-19 Pandemic in Hong Kong: Cross-sectional Study. Journal of Medical Internet Research 2021;23(4):e24577 View
  3. Shah A, Naqvi R, Jeong O. Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets. International Journal of Environmental Research and Public Health 2021;18(9):4743 View
  4. Jong W, Liang O, Yang C. The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis. JMIRx Med 2021;2(3):e27485 View
  5. Thompson C, Rhidenour K, Blackburn K, Barrett A, Babu S. Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers. Patient Education and Counseling 2022;105(2):322 View
  6. Zhu Y, Park H. Development of a COVID-19 Web Information Transmission Structure Based on a Quadruple Helix Model: Webometric Network Approach Using Bing (Preprint). Journal of Medical Internet Research 2021 View
  7. Ryu J, Sükei E, Norbury A, H Liu S, Campaña-Montes J, Baca-Garcia E, Artés A, Perez-Rodriguez M. Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study. JMIR Mental Health 2021;8(9):e30833 View
  8. Nolte J, Deng S, Löckenhoff C, Gutchess A. Age Differences in Media Consumption and Avoidance With Respect to COVID-19. The Journals of Gerontology: Series B 2022;77(4):e76 View
  9. Keitoku K, Nishimura Y, Hagiya H, Koyama T, Otsuka F. Impact of the World Antimicrobial Awareness Week on public interest between 2015 and 2020: A Google Trends analysis. International Journal of Infectious Diseases 2021;111:12 View
  10. Beaudoin C, Hong T. Predictors of COVID-19 Preventive Perceptions and Behaviors Among Millennials: Two Cross-sectional Survey Studies. Journal of Medical Internet Research 2021;23(8):e30612 View
  11. Montesi M. Everyday information behavior during the “new normal” of the Covid-19 pandemic: approaching the notions of experiential and local knowledge. Journal of Documentation 2023;79(1):160 View
  12. Karkhah S, Maroufizadeh S, Hakimi E, Ghazanfari M, Osuji J, Javadi-Pashaki N. Information Seeking Behavior on COVID-19 Among Older Adults: A Cross-Sectional Study in Northern Iran. Gerontology and Geriatric Medicine 2022;8 View
  13. Peng X, Chen Y, Zhang Y, Liu F, He H, Luo T, Dai P, Xie W, Luo A. The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China. Frontiers in Psychology 2021;12 View
  14. Almaazmi M, Samara K, Jarai M, Majeed H, Barqawi H. The Usage and Trustworthiness of Various Health Information Sources in the United Arab Emirates: An Online National Cross-Sectional Survey. Healthcare 2023;11(5):663 View
  15. Chen X, Lin F, Cheng E. Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions. Journal of Medical Internet Research 2022;24(3):e31088 View
  16. Nishimura Y, Hagiya H, Keitoku K, Koyama T, Otsuka F. Impact of the world hand hygiene and global handwashing days on public awareness between 2016 and 2020: Google trends analysis. American Journal of Infection Control 2022;50(2):141 View
  17. Staccini P, Lau A. Consumer Informatics and COVID-19 Pandemics: Challenges and Opportunities for Research. Yearbook of Medical Informatics 2021;30(01):210 View
  18. Zhang X, Chen B, Li G, Dong Y. Exploring the health information seeking behavior of social media users under the background of COVID-19 pandemic: An empirical study based on social cognitive theory. Frontiers in Psychology 2022;13 View
  19. Kodali N, Sidhu B, So J, Habib E, Robillard J, Mulpuri K, Schaeffer E. Content Analysis of Frequency of Information About Developmental Dysplasia of the Hip on Twitter. Indian Journal of Orthopaedics 2021;55(6):1591 View
  20. Cheng C, Espanha R. The impact of COVID-19-related information scanning via social media on Chinese intentions regarding coronavirus vaccinations. Frontiers in Communication 2023;7 View
  21. Zhang Y, Liu T, He Z, Chan S, Akinwunmi B, Huang J, Wong T, Zhang C, Ming W. Preferences for Attributes of Initial COVID-19 Diagnosis in the United States and China During the Pandemic: Discrete Choice Experiment With Propensity Score Matching. JMIR Public Health and Surveillance 2022;8(8):e37422 View
  22. Popovac M, Roomaney R. Measuring online health‐seeking behaviour: Construction and initial validation of a new scale. British Journal of Health Psychology 2022;27(3):756 View
  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
  26. Lee Y, Shen B, Sia C. Bringing Credibility Through Portals. Journal of Database Management 2022;33(1):1 View
  27. Anagaw T, Guadie H. Coronavirus disease 2019 information-seeking behavior globally: a systematic review. SAGE Open Medicine 2023;11 View
  28. Jung G, Jang S. Understanding the role of ethnic online communities during the COVID-19 pandemic: A case study of Korean immigrant women's information-seeking behaviors. Asian Journal of Social Science 2022;50(4):292 View
  29. Adeleke R. Is there a relationship between internet access and COVID-19 mortality? Evidence from Nigeria based on a spatial analysis. Dialogues in Health 2023;2:100102 View
  30. Yang Q, Luo Z, Li M, Liu J. Understanding the landscape and propagation of COVID-19 misinformation and its correction on Sina Weibo. Global Health Promotion 2022;29(1):44 View
  31. Gan C, Feng S, Feng H, Fu K, Davies S, Grépin K, Morgan R, Smith J, Wenham C. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;7(4):e008149 View
  32. Liu Y, Zou P. Psychological Effect of Discrete Outbreak Events of COVID-19 on Health Information Search in China. Behavioral Sciences 2023;13(2):109 View
  33. Lloyd A, Hicks A. Saturation, acceleration and information pathologies: the conditions that influence the emergence of information literacy safeguarding practice in COVID-19-environments. Journal of Documentation 2022;78(5):1008 View
  34. Negrone A, Caldwell P, Scott K. COVID‐19 and Dr. Google: Parents' changing experience using online health information about their children's health during the pandemic. Journal of Paediatrics and Child Health 2023;59(3):512 View
  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
  36. Montesi M. Human information behavior during the Covid-19 health crisis. A literature review. Library & Information Science Research 2021;43(4):101122 View
  37. Li Z, Kim I, Giuliani M, Ingledew P. Navigating Radiation Therapy During COVID-19 Using YouTube as a Source of Information. Journal of Cancer Education 2023;38(2):412 View
  38. Alomiry H. Information Consumption During Covid – 19. The Open Public Health Journal 2022;15(1) View
  39. TİRGİL M, ÇULHA E, DEMİRCİ Ş. Google arama motoru Türkiye’de Covid-19 salgınının yayılımının izlenmesinde ve tahmininde kullanılabilir mi?. Mersin Üniversitesi Sağlık Bilimleri Dergisi 2021;14(3):520 View
  40. Nugroho D, Sulistiawan D, Arifa R, Gayatri M, Puspitasari M, Prabowo F. eHealth Literacy and Self-care Behavior during the Coronavirus Disease-19 Pandemic among Youths: A Path Analysis. Open Access Macedonian Journal of Medical Sciences 2021;9(E):722 View
  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
  42. Nishimura Y, Nishimura M, Fajgenbaum D, van Rhee F, Sato Y, Otsuka F. Global public awareness of Castleman disease and TAFRO syndrome between 2015 and 2021: A Google Trends analysis. eJHaem 2022;3(3):748 View
  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 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 2024;26(12):7168 View
  47. Jiao W, Chang A, Ho M, Lu Q, Liu M, Schulz P. Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2023;25:e47595 View
  48. Alzghaibi H. People behavioral during health information searching in COVID-19 era: a review. Frontiers in Public Health 2023;11 View
  49. Ren Z, Xia S, Sun J, Wang D, Du Y, Li N, Liu J. Internet use, cardiometabolic multimorbidity, and death in older adults: a multi-cohort study spanning developing and developed countries. Globalization and Health 2023;19(1) View
  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 2024;39(9):1705 View
  51. Ge Y, Yao D, Ung C, Xue Y, Li M, Lin J, Hu H, Lai Y. Digital Medical Information Services Delivered by Pharmaceutical Companies via WeChat: Qualitative Analytical Study. Journal of Medical Internet Research 2023;25:e43812 View
  52. Long C, Zheng L, Liu R, Duan Z. Structural Validation and Measurement Invariance Testing of the Chinese Version of the eHealth Literacy Scale Among Undergraduates: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48838 View
  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
  55. Jiang J, Yao C, Song X. A multidimensional comparative study of help-seeking messages on Weibo under different stages of COVID-19 pandemic in China. Frontiers in Public Health 2024;12 View
  56. Chang L, Fung T, Leung H, Lai P. Generational differences in health information behaviors during the COVID-19 crisis: A Hong Kong study. Global Media and China 2024;9(3):303 View
  57. Sijabat R. Impact of the COVID-19 pandemic on sustainability knowledge and sustainable purchase decisions: the application of the theory of stimulus–organization–response. Cogent Business & Management 2024;11(1) View
  58. Malik A, Islam T, Mahmood K, Arshad A. Seeking information about Covid-19 vaccine on social media: a moderated mediated model of antecedents and behavioral outcomes. Library Hi Tech 2024 View
  59. Dong X, Ye L, Lian Y. Who has dominated information spreading on social media during the early stage of COVID-19 pandemic in China? A temporal network analysis. International Journal of Disaster Risk Reduction 2024;107:104493 View
  60. He C, He L, Yang W, Li B. Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media Images. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  61. Zhao R, Lu X, Yang J, Li B. Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment. Journal of Medical Internet Research 2024;26:e51910 View
  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
  63. Alkan Ö, Küçükoğlu U, Ünver Ş. Comparison of factors affecting Turkish citizens’ search for online health information before and during the COVID-19 pandemic. BMC Public Health 2024;24(1) View
  64. Qu J, Chen L, Zou H, Hui H, Zheng W, Luo J, Gong Q, Zhang Y, Wen T, Chen Y. Joint-sensemaking, innovation, and communication management during crisis: Evidence from the DCT applications in China. Big Data & Society 2024;11(3) View
  65. Raiyan Bin Reza , Rumana Rahman . Information seeking behavior of university students during 2023 dengue outbreak. Record and Library Journal 2023;9(2):232 View
  66. Glodici E, Brînzac M, Rusu A, Cherecheş R, Ungureanu M, Coman M. Digital Health Literacy Predictors and COVID-19 Online Information-Seeking Behaviors Among University Students from Romania. Sage Open 2024;14(4) View
  67. Allsop Y. Setting the Social Media Stage, a Narrative Review: The Role of Theory and Research in Understanding Adolescent Online Sexual Health Information-Seeking. Sexes 2024;5(4):544 View
  68. Sillence E, Branley-Bell D, Moss M, Briggs P. A model of trust in online COVID-19 information and advice: cross sectional questionnaire study (Preprint). JMIR Infodemiology 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
  2. Ebardo R, Suarez M. Human Aspects of IT for the Aged Population. View
  3. Gallardo M, Ebardo R. Soft Computing and Its Engineering Applications. View
  4. Mwangakala H. The Role of Health Literacy in Major Healthcare Crises. View