Flexible Modeling of Epidemics with an Empirical Bayes Framework

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