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

JMIR Theme Issue: COVID-19 Special Issue (2391) Digital Health Reviews (1186) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20509, first published .
Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data

Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data

Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data

Authors of this article:

Jouhyun Jeon1 Author Orcid Image ;   Gaurav Baruah1 Author Orcid Image ;   Sarah Sarabadani1 Author Orcid Image ;   Adam Palanica1 Author Orcid Image
Article Authors Cited by (21) Tweetations (16) Metrics

Journals

  1. Klein A, Magge A, O'Connor K, Flores Amaro J, Weissenbacher D, Gonzalez Hernandez G. Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set. Journal of Medical Internet Research 2021;23(1):e25314 View
  2. Szilagyi I, Ullrich T, Lang-Illievich K, Klivinyi C, Schittek G, Simonis H, Bornemann-Cimenti H. Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study. Journal of Medical Internet Research 2021;23(4):e27214 View
  3. Lisco G, De Tullio A, Jirillo E, Giagulli V, De Pergola G, Guastamacchia E, Triggiani V. Thyroid and COVID-19: a review on pathophysiological, clinical and organizational aspects. Journal of Endocrinological Investigation 2021;44(9):1801 View
  4. Prioleau T. Learning From the Experiences of COVID-19 Survivors: Web-Based Survey Study. JMIR Formative Research 2021;5(5):e23009 View
  5. Anyfantakis D, Mantadaki A, Mastronikolis S, Spandidos D, Symvoulakis E. COVID‑19 pandemic and reasons to prioritize the needs of the health care system to ensure its sustainability: A scoping review from January to October 2020 (Review). Experimental and Therapeutic Medicine 2021;22(3) View
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  7. Molina-Mora J, González A, Jiménez-Morgan S, Cordero-Laurent E, Brenes H, Soto-Garita C, Sequeira-Soto J, Duarte-Martínez F. Clinical Profiles at the Time of Diagnosis of SARS-CoV-2 Infection in Costa Rica During the Pre-vaccination Period Using a Machine Learning Approach. Phenomics 2022;2(5):312 View
  8. Harmel E, Schmitz T, Meisinger C, Linseisen J, von Scheidt W, Thilo C, Kirchberger I. COVID-19 risk perceptions, worries and preventive behaviors in patients with previous myocardial infarction: results from the myocardial infarction registry Augsburg. Psychology, Health & Medicine 2023;28(7):1873 View
  9. Barthélémy H, Mougenot E, Duracinsky M, Salmon-Ceron D, Bonini J, Péretz F, Chassany O, Carrieri P. Smoking increases the risk of post-acute COVID-19 syndrome: Results from a French community-based survey. Tobacco Induced Diseases 2022;20(June):1 View
  10. Golder S, Klein A, Magge A, O’Connor K, Cai H, Weissenbacher D, Gonzalez-Hernandez G. A chronological and geographical analysis of personal reports of COVID-19 on Twitter from the UK. DIGITAL HEALTH 2022;8:205520762210975 View
  11. GÜNDÜZ BAŞÇIL S, MEŞE S. Determining the interest in pain and analgesic during and before the covid-19 pandemic period using google trends data: an infodemiological study. Journal of Contemporary Medicine 2022;12(6):949 View
  12. Sarabadani S, Baruah G, Fossat Y, Jeon J. Longitudinal Changes of COVID-19 Symptoms in Social Media: Observational Study. Journal of Medical Internet Research 2022;24(2):e33959 View
  13. Dastani M, Danesh F, Nazir S. Iranian COVID-19 Publications in LitCovid: Text Mining and Topic Modeling. Scientific Programming 2021;2021:1 View
  14. Keloth V, Banda J, Gurley M, Heider P, Kennedy G, Liu H, Liu F, Miller T, Natarajan K, V Patterson O, Peng Y, Raja K, Reeves R, Rouhizadeh M, Shi J, Wang X, Wang Y, Wei W, Williams A, Zhang R, Belenkaya R, Reich C, Blacketer C, Ryan P, Hripcsak G, Elhadad N, Xu H. Representing and utilizing clinical textual data for real world studies: An OHDSI approach. Journal of Biomedical Informatics 2023;142:104343 View
  15. Lewek P, Banaś I, Witkowski K, Lewek J, Kardas P. The prevalence of symptoms and its correlation with sex in polish COVID-19 adult patients: Cross-sectional online open survey. Frontiers in Medicine 2023;10 View
  16. Gong Z, Yin M, Wang P, Kuang T. Examining the Effect of Social Media Use on COVID-19 Vaccine Hesitancy in China. SHS Web of Conferences 2023;169:01085 View
  17. Guo M, Ma Y, Eworuke E, Khashei M, Song J, Zhao Y, Jin F. Identifying COVID-19 cases and extracting patient reported symptoms from Reddit using natural language processing. Scientific Reports 2023;13(1) View
  18. Dueñas-Espín I, Echeverría-Mora M, Montenegro-Fárez C, Baldeón M, Chantong Villacres L, Espejo Cárdenas H, Fornasini M, Ochoa Andrade M, Solís C, Soto A. Development and validation of a scoring system to predict mortality in patients hospitalized with COVID-19: A retrospective cohort study in two large hospitals in Ecuador. PLOS ONE 2023;18(7):e0288106 View