Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27079, first published .
Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data

Journals

  1. Fan Z, Yin W, Zhang H, Wang D, Fan C, Chen Z, Hu J, Ma D, Guo H. COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study. Journal of Medical Internet Research 2021;23(7):e28563 View
  2. Peng Z, Yang S, Wang C, Bian X, Zhang X. Community pandemic prevention and control measures and their influence on citizen satisfaction during the COVID-19 pandemic in China. International Journal of Disaster Risk Reduction 2023;85:103494 View
  3. Chen M, Du W. The predicting public sentiment evolution on public emergencies under deep learning and internet of things. The Journal of Supercomputing 2023;79(6):6452 View
  4. Harris M, Cardenas K, Mordecai E. Social divisions and risk perception drive divergent epidemics and large later waves. Evolutionary Human Sciences 2023;5 View
  5. Peng X, Huang J, Liang K, Chi X. The Association of Social Emotions, Perceived Efficiency, Transparency of the Government, Concerns about COVID-19, and Confidence in Fighting the Pandemic under the Week-Long Lockdown in Shenzhen, China. International Journal of Environmental Research and Public Health 2022;19(18):11173 View
  6. Daradkeh M. Analyzing Sentiments and Diffusion Characteristics of COVID-19 Vaccine Misinformation Topics in Social Media. International Journal of Business Analytics 2021;9(3):1 View
  7. Nash C. Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations. COVID 2022;2(10):1303 View
  8. Mbwogge M. Peer Review of "Cognitive Factors Associated With Public Acceptance of COVID-19 Nonpharmaceutical Prevention Measures: Cross-sectional Study". JMIRx Med 2022;3(2):e37121 View
  9. Fang F, Wang T, Tan S, Chen S, Zhou T, Zhang W, Guo Q, Liu J, Holme P, Lu X. Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19. Frontiers in Public Health 2022;9 View
  10. Zhang F, Tang Q, Chen J, Han N. China public emotion analysis under normalization of COVID-19 epidemic: Using Sina Weibo. Frontiers in Psychology 2023;13 View
  11. Bastidas-Pacheco G, Bastidas-Delgado D, Bastidas-Delgado G. COVID-19: un desafío para la ciudades inteligentes en el decálogo de la salud pública. IPSA Scientia, revista científica multidisciplinaria 2022;7(Sup. 1):39 View
  12. Chiang Y, Chu M, Lin S, Cai X, Chen Q, Wang H, Li A, Rui J, Zhang X, Xie F, Lee C, Chen T. Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China. Frontiers in Psychology 2021;12 View
  13. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  14. Chen X, Yik M. The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data. JMIR Formative Research 2022;6(11):e37698 View
  15. Guo Y, Hou Y, Xiang H, Chen L. “Help Us!”: a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown. BMC Public Health 2023;23(1) View
  16. Zhang Q, Yang J, Niu T, Wen K, Hong X, Wu Y, Wang M. Analysis of the evolving factors of social media users’ emotions and behaviors: a longitudinal study from China’s COVID-19 opening policy period. BMC Public Health 2023;23(1) View
  17. Wang Q, Suo T. Social‐distancingmemories and well‐being in the cultural context. Applied Cognitive Psychology 2023;37(6):1290 View
  18. Yin S, Chen S, Ge Y. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. JMIR Infodemiology 2024;4:e49756 View
  19. Xing C, Hu Y, Tang J. Cognitively motivated or emotionally charged? Issue-switching mechanism of second screening-facilitated political participation during the 2022 COVID-19 waves in China. Heliyon 2024;10(12):e32367 View
  20. Yuan J, Zou H, Xie K, Dulebenets M. An Assessment of Social Distancing Obedience Behavior during the COVID-19 Post-Epidemic Period in China: A Cross-Sectional Survey. Sustainability 2021;13(14):8091 View

Books/Policy Documents

  1. Weinstein E, Weinstein B. Ciottone's Disaster Medicine. View