Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study
Authors
Keywords
-
Journal
JOURNAL OF MEDICAL INTERNET RESEARCH
Volume 22, Issue 5, Pages e19421
Publisher
JMIR Publications Inc.
Online
2020-05-25
DOI
10.2196/19421
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Social Media– and Internet-Based Disease Surveillance for Public Health
- (2020) Allison E. Aiello et al. Annual Review of Public Health
- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study
- (2020) Joseph T Wu et al. LANCET
- A new coronavirus associated with human respiratory disease in China
- (2020) Fan Wu et al. NATURE
- Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020
- (2020) Cuilian Li et al. Eurosurveillance
- Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts
- (2020) Chunmei Huang et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study
- (2020) Yuxin Zhao et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Early dynamics of transmission and control of COVID-19: a mathematical modelling study
- (2020) Adam J Kucharski et al. LANCET INFECTIOUS DISEASES
- Limited Early Warnings and Public Attention to Coronavirus Disease 2019 in China, January–February, 2020: A Longitudinal Cohort of Randomly Sampled Weibo Users
- (2020) Yuner Zhu et al. Disaster Medicine and Public Health Preparedness
- Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China
- (2020) Jinling Hua et al. International Journal of Environmental Research and Public Health
- The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review
- (2019) Joana M Barros et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data
- (2017) Sarah F. McGough et al. PLoS Neglected Tropical Diseases
- Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits
- (2016) Joseph Jeffrey Klembczyk et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Chinese social media analysis for disease surveillance
- (2015) Xiaohui Cui et al. Personal and Ubiquitous Computing
- Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review
- (2015) Lauren E. Charles-Smith et al. PLoS One
- The Parable of Google Flu: Traps in Big Data Analysis
- (2014) D. Lazer et al. SCIENCE
- National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic
- (2013) David A. Broniatowski et al. PLoS One
- Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks
- (2013) Isaac Chun-Hai Fung et al. Infectious Diseases of Poverty
- Google Flu Trends: Correlation With Emergency Department Influenza Rates and Crowding Metrics
- (2012) A. F. Dugas et al. CLINICAL INFECTIOUS DISEASES
- Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak
- (2010) Cynthia Chew et al. PLoS One
- Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
- (2009) Gunther Eysenbach JOURNAL OF MEDICAL INTERNET RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now