Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study

First Case of 2019 Novel Coronavirus in the United States

(2020) Michelle L. Holshue et al.   NEW ENGLAND JOURNAL OF MEDICINE

Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea

(2020) Han Woo Park et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison

(2020) Aravind Sesagiri Raamkumar et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

(2020) Alaa Abd-Alrazaq et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data

(2020) Henna Budhwani et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study

(2020) Cuihua Shen et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis

(2020) Sohaib R Rufai et al.   JOURNAL OF PUBLIC HEALTH

Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo

(2020) Zhuo-Ying Tao et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19-related Information on Twitter during the SARS-CoV-2 Outbreak in Europe: Infoveillance Study (Preprint)

(2020) Monika Pobiruchin et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource

(2020) Abeed Sarker et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study

(2020) Ranganathan Chandrasekaran et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Mining twitter to explore the emergence of COVID‐19 symptoms

(2020) Jia‐Wen Guo et al.   PUBLIC HEALTH NURSING

Reactions to foodborne Escherichia coli outbreaks: A text-mining analysis of the public's response

(2019) Elizabeth M. Glowacki et al.   AMERICAN JOURNAL OF INFECTION CONTROL

Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat

(2016) Elizabeth M. Glowacki et al.   AMERICAN JOURNAL OF INFECTION CONTROL

Zika live Twitter chat

(2016) Beuy Joob et al.   AMERICAN JOURNAL OF INFECTION CONTROL

Detecting themes of public concern: A text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat

(2015) Allison J. Lazard et al.   AMERICAN JOURNAL OF INFECTION CONTROL

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

(2015) Mauricio Santillana et al.   PLoS Computational Biology

Public Health Response to Influenza A(H1N1) as an Opportunity to Build Public Trust

(2010) Heidi J. Larson   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION