Search Articles

Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

However, many factors involved in the onset and temporal distribution of the ongoing COVID-19 pandemic remain unknown. Similarly, both the individual and population burdens of COVID-19 are only beginning to be elucidated.

Jose Luis Izquierdo, Julio Ancochea, Savana COVID-19 Research Group, Joan B Soriano

J Med Internet Res 2020;22(10):e21801

Download Citation: END BibTex RIS

Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic

As of May 4, 2020, the Entrepôt de Données de Santé (EDS)-COVID data set contained 84,966 electronic records of suspected or confirmed patients with COVID-19 (see Table 1 for further details on the data set).

Antoine Neuraz, Ivan Lerner, William Digan, Nicolas Paris, Rosy Tsopra, Alice Rogier, David Baudoin, Kevin Bretonnel Cohen, Anita Burgun, Nicolas Garcelon, Bastien Rance, AP-HP/Universities/INSERM COVID-19 Research Collaboration; AP-HP COVID CDR Initiative

J Med Internet Res 2020;22(8):e20773

Download Citation: END BibTex RIS

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

conversations on COVID-19.

Sakun Boon-Itt, Yukolpat Skunkan

JMIR Public Health Surveill 2020;6(4):e21978

Download Citation: END BibTex RIS

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach

COVID-19 has been one of the trending topics on Twitter since January 2020 and has continued to be discussed to date.

Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, Chengda Zheng, Yue Su, Tingshao Zhu

J Med Internet Res 2020;22(11):e20550

Download Citation: END BibTex RIS

Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study

The search terms used were “Prevention coronavirus,” “Prevention COVID-19,” “Prevención coronavirus,” and “Prevención COVID-19”.

Ignacio Hernández-García, Teresa Giménez-Júlvez

JMIR Public Health Surveill 2020;6(2):e18717

Download Citation: END BibTex RIS

Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study

versus during the COVID-19 pandemic.

Kamila Janmohamed, Abdul-Nasah Soale, Laura Forastiere, Weiming Tang, Yongjie Sha, Jakob Demant, Edoardo Airoldi, Navin Kumar

J Med Internet Res 2020;22(10):e21743

Download Citation: END BibTex RIS

Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey

IntroductionSince the declaration of the COVID-19 pandemic in the United States, over 7 million COVID-19 cases have been identified, and more than 200,000 lives have been lost [1].

Marlene Camacho-Rivera, Jessica Yasmine Islam, Argelis Rivera, Denise Christina Vidot

JMIR Mhealth Uhealth 2020;8(12):e24693

Download Citation: END BibTex RIS

Real-time Mental Health Impact of the COVID-19 Pandemic on College Students: Ecological Momentary Assessment Study

We assessed two COVID-19–specific mental health variables: anxiety about COVID-19 and optimism about COVID-19.

Evan M Kleiman, April L Yeager, Jeremy L Grove, John K Kellerman, Joanne S Kim

JMIR Ment Health 2020;7(12):e24815

Download Citation: END BibTex RIS

Associations Between COVID-19 Misinformation Exposure and Belief With COVID-19 Knowledge and Preventive Behaviors: Cross-Sectional Online Study

Higher scores indicate a higher COVID-19 knowledge level.The number of COVID-19 preventive behaviors that the respondents performed during the past three months was assessed with 10 answer options that were extracted from the COVID-19 preventive methods recommended

Jung Jae Lee, Kyung-Ah Kang, Man Ping Wang, Sheng Zhi Zhao, Janet Yuen Ha Wong, Siobhan O'Connor, Sook Ching Yang, Sunhwa Shin

J Med Internet Res 2020;22(11):e22205

Download Citation: END BibTex RIS

Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags

Thus, ethical approval was not required.ResultsThe top five COVID-19–related infodemic and scientific terms used in Google searches were “coronavirus,” “corona,” “COVID,” “virus,” “corona virus,” and “COVID-19” (Figure 1).

Alessandro Rovetta, Akshaya Srikanth Bhagavathula

J Med Internet Res 2020;22(8):e20673

Download Citation: END BibTex RIS