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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Information Seeking, Information Needs (465) Infectious Diseases (non-STD/STI) (1575) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

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

Authors of this article:

Chunmei Huang1 Author Orcid Image ;   Xinjie Xu2 Author Orcid Image ;   Yuyang Cai3 Author Orcid Image ;   Qinmin Ge2 Author Orcid Image ;   Guangwang Zeng1, 4 Author Orcid Image ;   Xiaopan Li5, 6 Author Orcid Image ;   Weide Zhang7 Author Orcid Image ;   Chen Ji8 Author Orcid Image ;   Ling Yang1 Author Orcid Image
Article Authors Cited by (52) Tweetations (13) Metrics

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) 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;11(4):759 View
  24. Choli M, Kuss D. Perceptions of blame on social media during the coronavirus pandemic. Computers in Human Behavior 2021;124:106895 View
  25. 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
  26. Jafarinejad F, Rahimi M, Mashayekhi H. Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran. Journal of Biomedical Informatics 2021;121:103862 View
  27. Zhang L, Welsch R, Cao Z. The Transmission, Infection Prevention, and Control during the COVID-19 Pandemic in China: A Retrospective Study. International Journal of Environmental Research and Public Health 2022;19(5):3074 View
  28. Ni C, Wan Z, Yan C, Liu Y, Clayton E, Malin B, Yin Z. The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study. Journal of Medical Internet Research 2022;24(3):e31687 View
  29. Singh A, Mehan P, Sharma D, Pandey R, Sethi T, Kumaraguru P. COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis. JMIR Public Health and Surveillance 2022;8(1):e26868 View
  30. Luo C, Chen A, Cui B, Liao W. Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. Telematics and Informatics 2021;65:101712 View
  31. Jiang H, Tang X. Effects of local government social media use on citizen compliance during a crisis: Evidence from the COVID‐19 crisis in China. Public Administration 2023;101(3):843 View
  32. 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
  33. Dey V, Krasniak P, Nguyen M, Lee C, Ning X. A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness. JMIR Medical Informatics 2021;9(11):e29768 View
  34. Ahasan R, Alam M, Chakraborty T, Hossain M. Applications of GIS and geospatial analyses in COVID-19 research: A systematic review. F1000Research 2022;9:1379 View
  35. Röchert D, Shahi G, Neubaum G, Ross B, Stieglitz S. The Networked Context of COVID-19 Misinformation: Informational Homogeneity on YouTube at the Beginning of the Pandemic. Online Social Networks and Media 2021;26:100164 View
  36. Li C, Liu X, Li N, Yang F, Zheng M, Li Y, Zhang J. Impact of Coronavirus disease 2019 on patients with toothache. Medicine 2021;100(32):e26713 View
  37. Selerio E, Caladcad J, Catamco M, Capinpin E, Ocampo L. Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process. Socio-Economic Planning Sciences 2022;82:101217 View
  38. Guo Z, Sörös P, Zhang Z, Yang M, Liao D, Liu C. Use of Transcutaneous Auricular Vagus Nerve Stimulation as an Adjuvant Therapy for the Depressive Symptoms of COVID-19: A Literature Review. Frontiers in Psychiatry 2021;12 View
  39. Corrêa F, Souza P, Uehara L, Ritti-Dias R, Oliveira da Silva G, Segheto W, Pacheco-Barrios K, Fregni F, Corrêa J. Transcutaneous Auricular Vagus Nerve Stimulation Improves Inflammation but Does Not Interfere with Cardiac Modulation and Clinical Symptoms of Individuals with COVID-19: A Randomized Clinical Trial. Life 2022;12(10):1644 View
  40. Wiese M, Van Der Westhuizen L. Public coping discourse in response to government health crisis communication. Corporate Communications: An International Journal 2023;28(7):44 View
  41. Wu J, Wang L, Hua Y, Li M, Zhou L, Bates D, Yang J. Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research 2023;25:e45419 View
  42. Janoudi G, Uzun (Rada) M, Boyd S, Fell D, Ray J, Foster A, Giffen R, Clifford T, Walker M. Do Case Reports and Case Series Generate Clinical Discoveries About Preeclampsia? A Systematic Review. International Journal of Women's Health 2023;Volume 15:411 View
  43. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863 View
  44. Acikara T, Xia B, Yigitcanlar T, Hon C. Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature. Sustainability 2023;15(11):8860 View
  45. Shankar K, Chandrasekaran R, Jeripity Venkata P, Miketinas D. Investigating the Role of Nutrition in Enhancing Immunity During the COVID-19 Pandemic: Twitter Text-Mining Analysis. Journal of Medical Internet Research 2023;25:e47328 View
  46. Chen X, Xu J, Jin Y, Zheng J. Adaptation and Resilience: Public Attitudes towards Zero-COVID Policy in China. SSRN Electronic Journal 2023 View
  47. 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
  48. Janoudi G, Fell D, Ray J, Foster A, Giffen R, Clifford T, Rodger M, Smith G, Walker M. Augmented Intelligence for Clinical Discovery in Hypertensive Disorders of Pregnancy Using Outlier Analysis. Cureus 2023 View
  49. Janoudi G, Uzun (Rada) M, Fell D, Ray J, Foster A, Giffen R, Clifford T, Walker M, Sarmiento R. Outlier analysis for accelerating clinical discovery: An augmented intelligence framework and a systematic review. PLOS Digital Health 2024;3(5):e0000515 View
  50. Chen M, Liu K, Zhao L, Guo Z. What We Convey When We Talk About Public Health Crisis: A Case Study of Global Media Coverage of COVID-19 Using Big Data Approach. Emerging Media 2024 View