Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19087, first published .
Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts

Journals

  1. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  2. Peng Z, Wang R, Liu L, Wu H. Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data. ISPRS International Journal of Geo-Information 2020;9(6):402 View
  3. Tao Z, Chu G, McGrath C, Hua F, Leung Y, Yang W, Su Y. Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo. Journal of Medical Internet Research 2020;22(6):e19981 View
  4. Bonaz B, Sinniger V, Pellissier S. Targeting the cholinergic anti-inflammatory pathway with vagus nerve stimulation in patients with Covid-19?. Bioelectronic Medicine 2020;6(1) View
  5. Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. Journal of Medical Internet Research 2020;22(5):e19421 View
  6. Carvajal-Miranda C, Mañas-Viniegra L, Liang L. Online Discourse in the Context of COVID-19, the First Health Crisis in China after the Advent of Mobile Social Media: A Content Analysis of China’s Weibo and Baidu. Social Sciences 2020;9(10):167 View
  7. Ong E, Lim C, Wong A. The Role of Social Media during the COVID-19 Pandemic. Annals of the Academy of Medicine, Singapore 2020;49(6):408 View
  8. de Melo T, Figueiredo C. Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach. JMIR Public Health and Surveillance 2021;7(2):e24585 View
  9. Luo C, Li Y, Chen A, Tang Y, Capraro V. What triggers online help-seeking retransmission during the COVID-19 period? Empirical evidence from Chinese social media. PLOS ONE 2020;15(11):e0241465 View
  10. Xu Q, Shen Z, Shah N, Cuomo R, Cai M, Brown M, Li J, Mackey T. Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e24125 View
  11. sm-Rahman A, Lo C, Ramic A, Jahan Y. Home-Based Care for People with Alzheimer’s Disease and Related Dementias (ADRD) during COVID-19 Pandemic: From Challenges to Solutions. International Journal of Environmental Research and Public Health 2020;17(24):9303 View
  12. Burzyńska J, Bartosiewicz A, Rękas M. The social life of COVID-19: Early insights from social media monitoring data collected in Poland. Health Informatics Journal 2020;26(4):3056 View
  13. Ahasan R, Alam M, Chakraborty T, Hossain M. Applications of GIS and geospatial analyses in COVID-19 research: A systematic review. F1000Research 2020;9:1379 View
  14. Boon-Itt S, Skunkan Y. Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. JMIR Public Health and Surveillance 2020;6(4):e21978 View
  15. Alonso S, Marques G, Barrachina I, Garcia-Zapirain B, Arambarri J, Salvador J, de la Torre Díez I. Telemedicine and e-Health research solutions in literature for combatting COVID-19: a systematic review. Health and Technology 2021;11(2):257 View
  16. Fernandes Matuck B, Dolhnikoff M, Maia G, Isaac Sendyk D, Zarpellon A, Costa Gomes S, Duarte-Neto A, Rebello Pinho J, Gomes-Gouvêa M, Sousa S, Mauad T, Saldiva P, Braz-Silva P, Silva L. Periodontal tissues are targets for Sars-Cov-2: a post-mortem study. Journal of Oral Microbiology 2021;13(1):1848135 View
  17. Sycinska-Dziarnowska M, Paradowska-Stankiewicz I. Dental Challenges and the Needs of the Population during the Covid-19 Pandemic Period. Real-Time Surveillance Using Google Trends. International Journal of Environmental Research and Public Health 2020;17(23):8999 View
  18. Liu X, Ye Q, Li Y, Fan J, Tao Y. Examining Public Concerns and Attitudes toward Unfair Events Involving Elderly Travelers during the COVID-19 Pandemic Using Weibo Data. International Journal of Environmental Research and Public Health 2021;18(4):1756 View
  19. Shah A, Yan X, Qayyum A, Naqvi R, Shah S. Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. International Journal of Medical Informatics 2021;149:104434 View
  20. Kolling M, Furstenau L, Sott M, Rabaioli B, Ulmi P, Bragazzi N, Tedesco L. Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development. International Journal of Environmental Research and Public Health 2021;18(6):3099 View
  21. Guzzi P, Tradigo G, Veltri P. Regional Resource Assessment During the COVID-19 Pandemic in Italy: Modeling Study. JMIR Medical Informatics 2021;9(3):e18933 View
  22. 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
  23. Safdari R, Rezayi S, Saeedi S, Tanhapour M, Gholamzadeh M. Using data mining techniques to fight and control epidemics: A scoping review. Health and Technology 2021 View
  24. Choli M, Kuss D. Perceptions of blame on social media during the coronavirus pandemic. Computers in Human Behavior 2021:106895 View