Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
Authors
Keywords
-
Journal
Scientific Reports
Volume 6, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-05-11
DOI
10.1038/srep25732
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons
- (2015) Mark S. Smolinski et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Accurate estimation of influenza epidemics using Google search data via ARGO
- (2015) Shihao Yang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Inference of seasonal and pandemic influenza transmission dynamics
- (2015) Wan Yang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Using Networks to Combine “Big Data” and Traditional Surveillance to Improve Influenza Predictions
- (2015) Michael W. Davidson et al. Scientific Reports
- Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
- (2015) Mauricio Santillana et al. PLoS Computational Biology
- Advances in nowcasting influenza-like illness rates using search query logs
- (2015) Vasileios Lampos et al. Scientific Reports
- What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?
- (2014) Mauricio Santillana et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Using Clinicians' Search Query Data to Monitor Influenza Epidemics
- (2014) M. Santillana et al. CLINICAL INFECTIOUS DISEASES
- A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives
- (2014) Ruchit Nagar et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Demonstrating the Use of High-Volume Electronic Medical Claims Data to Monitor Local and Regional Influenza Activity in the US
- (2014) Cécile Viboud et al. PLoS One
- The Parable of Google Flu: Traps in Big Data Analysis
- (2014) D. Lazer et al. SCIENCE
- Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time
- (2014) David J. McIver et al. PLoS Computational Biology
- 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
- Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales
- (2013) Donald R. Olson et al. PLoS Computational Biology
- Optimizing Provider Recruitment for Influenza Surveillance Networks
- (2012) Samuel V. Scarpino et al. PLoS Computational Biology
- Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic
- (2011) Samantha Cook et al. PLoS One
- Syndromic Surveillance Using Ambulatory Electronic Health Records
- (2009) G. Hripcsak et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Using Internet Searches for Influenza Surveillance
- (2008) Philip M. Polgreen et al. CLINICAL INFECTIOUS DISEASES
- Detecting influenza epidemics using search engine query data
- (2008) Jeremy Ginsberg et al. NATURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started