Turn to the Internet First? Using Online Medical Behavioral Data to Forecast COVID-19 Epidemic Trend

Social Media– and Internet-Based Disease Surveillance for Public Health

(2020) Allison E. Aiello et al.   Annual Review of Public Health

Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

(2020) Dawei Wang et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

(2020) Qun Li et al.   NEW ENGLAND JOURNAL OF MEDICINE

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

Internet Hospitals Help Prevent and Control the Epidemic of COVID-19 in China: Multicenter User Profiling Study

(2020) Kai Gong 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

On the responsible use of digital data to tackle the COVID-19 pandemic

(2020) Marcello Ienca et al.   NATURE MEDICINE

Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases

(2020) Ana I. Bento et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model

(2020) Ruonan Huang et al.   BMJ Open

Health surveillance during covid-19 pandemic

(2020) Rafael A Calvo et al.   BMJ-British Medical Journal

Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index

(2020) Lei Qin et al.   International Journal of Environmental Research and Public Health

Applications of Google Search Trends for risk communication in infectious disease management: A case study of the COVID-19 outbreak in Taiwan

(2020) Atina Husnayain et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Online Health Information Seeking and eHealth Literacy Among Patients Attending a Primary Care Clinic in Hong Kong: A Cross-Sectional Survey

(2019) David Ka-Ki Wong et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A combination of incidence data and mobility proxies from social media predicts the intra-urban spread of dengue in Yogyakarta, Indonesia

(2019) Aditya Lia Ramadona et al.   PLoS Neglected Tropical Diseases

The use of computer mediated communication in providing patient support: A review of the research literature

(2018) Amanda J. Wagg et al.   INTERNATIONAL JOURNAL OF NURSING STUDIES

Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: A case study in Guangzhou, China

(2017) Zhihao Li et al.   PLoS Neglected Tropical Diseases

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

Googling environmental issues

(2016) Jie Qin et al.   Internet Research

Big Data for Infectious Disease Surveillance and Modeling

(2016) Shweta Bansal et al.   JOURNAL OF INFECTIOUS DISEASES

Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data

(2016) Aditya Lia Ramadona et al.   PLoS One

Google Flu Trends in Canada: a comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010–2014

(2015) L. J. MARTIN et al.   EPIDEMIOLOGY AND INFECTION

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

(2015) Mauricio Santillana et al.   PLoS Computational Biology

Enhancing disease surveillance with novel data streams: challenges and opportunities

(2015) Benjamin M Althouse et al.   EPJ Data Science

Influmeter – an online tool for self-reporting of influenza-like illness in Denmark

(2015) Charlotte Kjelsø et al.   Infectious Diseases

What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?

(2014) Mauricio Santillana et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Social Media and Internet-Based Data in Global Systems for Public Health Surveillance: A Systematic Review

(2014) EDWARD VELASCO et al.   MILBANK QUARTERLY

The Parable of Google Flu: Traps in Big Data Analysis

(2014) D. Lazer et al.   SCIENCE

Data mining from web search queries: A comparison of google trends and baidu index

(2014) Liwen Vaughan et al.   Journal of the Association for Information Science and Technology

Influenza A (H7N9) and the Importance of Digital Epidemiology

(2013) Marcel Salathé et al.   NEW ENGLAND JOURNAL OF MEDICINE

Influenza Forecasting with Google Flu Trends

(2013) Andrea Freyer Dugas et al.   PLoS One

Monitoring Influenza Epidemics in China with Search Query from Baidu

(2013) Qingyu Yuan et al.   PLoS One

National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic

(2013) David A. Broniatowski et al.   PLoS One

Infodemiology and Infoveillance

(2011) Gunther Eysenbach   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic

(2011) Samantha Cook et al.   PLoS One

Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance

(2011) Emily H. Chan et al.   PLoS Neglected Tropical Diseases

Web-Based Self-Triage of Influenza-Like Illness During the 2009 H1N1 Influenza Pandemic

(2010) Arthur L. Kellermann et al.   ANNALS OF EMERGENCY MEDICINE

Digital Disease Detection — Harnessing the Web for Public Health Surveillance

(2009) John S. Brownstein et al.   NEW ENGLAND JOURNAL OF MEDICINE

Detecting influenza epidemics using search engine query data

(2008) Jeremy Ginsberg et al.   NATURE