Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20108, first published .
Characteristics and Outcomes of a Sample of Patients With COVID-19 Identified Through Social Media in Wuhan, China: Observational Study

Characteristics and Outcomes of a Sample of Patients With COVID-19 Identified Through Social Media in Wuhan, China: Observational Study

Characteristics and Outcomes of a Sample of Patients With COVID-19 Identified Through Social Media in Wuhan, China: Observational Study

Journals

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  4. Pan P, Li Y, Xiao Y, Han B, Su L, Su M, Li Y, Zhang S, Jiang D, Chen X, Zhou F, Ma L, Bao P, Xie L. Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation. Journal of Medical Internet Research 2020;22(11):e23128 View
  5. Zhang H, Ma S, Han T, Qu G, Cheng C, Uy J, Shaikh M, Zhou Q, Song E, Sun C. Association of smoking history with severe and critical outcomes in COVID-19 patients: A systemic review and meta-analysis. European Journal of Integrative Medicine 2021;43:101313 View
  6. Gauthier A, Lin M, Wu J, Kennedy T, Daley L, Ashby C, Mantell L. From nicotine to the cholinergic anti-inflammatory reflex – Can nicotine alleviate the dysregulated inflammation in COVID-19?. Journal of Immunotoxicology 2021;18(1):23 View
  7. D V, Sharma A, Kumar A, Flora S. Neurological Manifestations in COVID-19 Patients: A Meta-Analysis. ACS Chemical Neuroscience 2021;12(15):2776 View
  8. Wu Y, Li N, Li S, Song S. Lung transplantation in a woman with paraquat poisoning that led to pulmonary fibrosis—Widely reported by the media: A case report. Medicine 2022;101(49):e32263 View
  9. Sarıoğlu E, Sarıaltın S, Çoban T. Neurological complications and effects of COVID-19: Symptoms and conceivable mechanisms. Brain Hemorrhages 2023;4(3):154 View
  10. Lee M, Sallah Y, Petrone M, Ringer M, Cosentino D, Vogels C, Fauver J, Alpert T, Grubaugh N, Gupta S. COVID-19 Outcomes and Genomic Characterization of SARS-CoV-2 Isolated From Veterans in New England States: Retrospective Analysis. JMIRx Med 2021;2(4):e31503 View
  11. Bouare N, Minta D, Dabo A, Gerard C. COVID-19: A pluralistic and integrated approach for efficient management of the pandemic. World Journal of Virology 2022;11(1):20 View
  12. Geng J, Yu X, Bao H, Feng Z, Yuan X, Zhang J, Chen X, Chen Y, Li C, Yu H. Chronic Diseases as a Predictor for Severity and Mortality of COVID-19: A Systematic Review With Cumulative Meta-Analysis. Frontiers in Medicine 2021;8 View
  13. SAĞLAM E, ÖZBEK ŞEBİN S, KOÇMAN S, BALABAN C, YÜCELSEN C, ATAY A. High Mean Platelet Volume and Mean Platelet Volume/Platelet Ratio Predict Mortality for COVID-19 Patients in Intensive Care Unit. New Trends in Medicine Sciences 2022;3(2):75 View
  14. Thye A, Law J, Tan L, Pusparajah P, Ser H, Thurairajasingam S, Letchumanan V, Lee L. Psychological Symptoms in COVID-19 Patients: Insights into Pathophysiology and Risk Factors of Long COVID-19. Biology 2022;11(1):61 View
  15. Degarege A, Naveed Z, Kabayundo J, Brett-Major D. Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis. Pathogens 2022;11(5):563 View
  16. Mahamat-Saleh Y, Fiolet T, Rebeaud M, Mulot M, Guihur A, El Fatouhi D, Laouali N, Peiffer-Smadja N, Aune D, Severi G. Diabetes, hypertension, body mass index, smoking and COVID-19-related mortality: a systematic review and meta-analysis of observational studies. BMJ Open 2021;11(10):e052777 View
  17. Ansell L, Dalla Valle L. A new data integration framework for Covid-19 social media information. Scientific Reports 2023;13(1) View