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

mHealth for Data Collection and Research (981) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Outbreak and Pandemic Preparedness and Management (1743) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19589, first published .
Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study

Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study

Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study

Authors of this article:

Wenjun Wang1 Author Orcid Image ;   Yikai Wang1 Author Orcid Image ;   Xin Zhang1 Author Orcid Image ;   Xiaoli Jia1 Author Orcid Image ;   Yaping Li1 Author Orcid Image ;   Shuangsuo Dang1 Author Orcid Image
Article Authors Cited by (11) Tweetations (262) Metrics

Journals

  1. Coller B, Buse J, Kimberly R, Powderly W, Zand M. Re-engineering The Clinical Research Enterprise in Response to COVID-19: The Clinical Translational Science Award (CTSA) experience and proposed playbook for future pandemics. Journal of Clinical and Translational Science 2021;5(1) View
  2. Kshevin N, Simonenko O. BIOPOLITICS AS AN ASPECT OF PUBLIC ADMINISTRATION IN NON-LIBERAL POLITICAL REGIMES (ON THE EXAMPLE OF THE PRC). Respublica literaria 2021;(RL. 2021. vol.2. no. 2):86 View
  3. Wilson A, Lehmann C, Saleh S, Hanna J, Medford R. Social media: A new tool for outbreak surveillance. Antimicrobial Stewardship & Healthcare Epidemiology 2021;1(1) View
  4. 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
  5. Li D, Howe A, Astier-Peña M. Primary health care response in the management of pandemics: Learnings from the COVID-19 pandemic. Atención Primaria 2021;53:102226 View
  6. Zou P, Huang A, Luo Y, Tchakerian N, Zhang H, Zhang C. Effects of using WeChat/WhatsApp on physical and psychosocial health outcomes among oncology patients: A systematic review. Health Informatics Journal 2023;29(1) View
  7. Ghasempour M, Purabdollah M, Sheikhnezhad L. Lessons Learned from COVID-19 for Future Pandemics: Infection Prevention in Health Care Workers. Journal of Caring Sciences 2023;12(1):1 View
  8. Gheisari M, Ghaderzadeh M, Li H, Taami T, Fernández-Campusano C, Sadeghsalehi H, Afzaal Abbasi A. Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review. JMIR mHealth and uHealth 2024;12:e44406 View
  9. Comer L, Donelle L, Hiebert B, Smith M, Kothari A, Stranges S, Gilliland J, Long J, Burkell J, Shelley J, Hall J, Shelley J, Cooke T, Ngole Dione M, Facca D. Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e47154 View
  10. Ramzy M. Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis. Aslib Journal of Information Management 2024 View

Books/Policy Documents

  1. Galitsky B. Artificial Intelligence for Healthcare Applications and Management. View