Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge
出版年份 2016 全文链接
标题
Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge
作者
关键词
Influenza, Forecasting, Prediction, Modeling
出版物
BMC INFECTIOUS DISEASES
Volume 16, Issue 1, Pages -
出版商
Springer Nature
发表日期
2016-07-22
DOI
10.1186/s12879-016-1669-x
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Forecasting the 2013–2014 Influenza Season Using Wikipedia
- (2015) Kyle S. Hickmann et al. PLoS Computational Biology
- Flexible Modeling of Epidemics with an Empirical Bayes Framework
- (2015) Logan C. Brooks et al. PLoS Computational Biology
- Enhancing disease surveillance with novel data streams: challenges and opportunities
- (2015) Benjamin M Althouse et al. EPJ Data Science
- Twitter mining for fine-grained syndromic surveillance
- (2014) Paola Velardi et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events
- (2014) Philippe Barboza et al. PLoS One
- Influenza Forecasting in Human Populations: A Scoping Review
- (2014) Jean-Paul Chretien 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
- A systematic review of studies on forecasting the dynamics of influenza outbreaks
- (2013) Elaine O. Nsoesie et al. Influenza and Other Respiratory Viruses
- Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines
- (2013) Heidi J Larson et al. LANCET INFECTIOUS DISEASES
- Influenza A (H7N9) and the Importance of Digital Epidemiology
- (2013) Marcel Salathé et al. NEW ENGLAND JOURNAL OF MEDICINE
- 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
- Social and News Media Enable Estimation of Epidemiological Patterns Early in the 2010 Haitian Cholera Outbreak
- (2012) Rumi Chunara et al. AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
- New technologies for reporting real-time emergent infections
- (2012) RUMI CHUNARA et al. PARASITOLOGY
- Digital Epidemiology
- (2012) Marcel Salathé 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
- Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control
- (2011) Marcel Salathé et al. PLoS Computational Biology
- Surveillance for Influenza during the 2009 Influenza A (H1N1) Pandemic-United States, April 2009-March 2010
- (2010) L. Brammer et al. CLINICAL INFECTIOUS DISEASES
- 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
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk 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