标题
Flexible Modeling of Epidemics with an Empirical Bayes Framework
作者
关键词
Forecasting, Influenza, Distribution curves, Infectious disease epidemiology, Epidemiology, Infectious disease surveillance, Curve fitting, Seasons
出版物
PLoS Computational Biology
Volume 11, Issue 8, Pages e1004382
出版商
Public Library of Science (PLoS)
发表日期
2015-08-29
DOI
10.1371/journal.pcbi.1004382
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Rcpp: SeamlessRandC++Integration
- (2015) Dirk Eddelbuettel et al. Journal of Statistical Software
- Using Google Flu Trends data in forecasting influenza-like–illness related ED visits in Omaha, Nebraska
- (2014) Ozgur M. Araz et al. AMERICAN JOURNAL OF EMERGENCY MEDICINE
- What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?
- (2014) Mauricio Santillana et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Adaptive piecewise polynomial estimation via trend filtering
- (2014) Ryan J. Tibshirani ANNALS OF STATISTICS
- 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
- Comparison of Filtering Methods for the Modeling and Retrospective Forecasting of Influenza Epidemics
- (2014) Wan Yang et al. PLoS Computational Biology
- Risk of Dengue for Tourists and Teams during the World Cup 2014 in Brazil
- (2014) Willem G. van Panhuis et al. PLoS Neglected Tropical Diseases
- FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations
- (2013) John J Grefenstette et al. BMC PUBLIC HEALTH
- A systematic review of studies on forecasting the dynamics of influenza outbreaks
- (2013) Elaine O. Nsoesie et al. Influenza and Other Respiratory Viruses
- Influenza Forecasting with Google Flu Trends
- (2013) Andrea Freyer Dugas et al. PLoS One
- Real-time influenza forecasts during the 2012–2013 season
- (2013) Jeffrey Shaman et al. Nature Communications
- Forecasting seasonal outbreaks of influenza
- (2012) J. Shaman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic
- (2011) Samantha Cook et al. PLoS One
- Predicting the Epidemic Sizes of Influenza A/H1N1, A/H3N2, and B: A Statistical Method
- (2011) Edward Goldstein et al. PLOS MEDICINE
- Modeling and Predicting Seasonal Influenza Transmission in Warm Regions Using Climatological Parameters
- (2010) Radina P. Soebiyanto et al. PLoS One
- Real-Time Epidemic Monitoring and Forecasting of H1N1-2009 Using Influenza-Like Illness from General Practice and Family Doctor Clinics in Singapore
- (2010) Jimmy Boon Som Ong et al. PLoS One
- Forcing Versus Feedback: Epidemic Malaria and Monsoon Rains in Northwest India
- (2010) Karina Laneri et al. PLoS Computational Biology
- Improved estimators for a general class of beta regression models
- (2009) Alexandre B. Simas et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Inapparent infections and cholera dynamics
- (2008) Aaron A. King et al. NATURE
- Detecting influenza epidemics using search engine query data
- (2008) Jeremy Ginsberg et al. NATURE
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