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Journal of the Royal Society, Interface|January 27, 2007
Comparative estimation of the reproduction number for pandemic influenza from daily case notification dataGerardo Chowell, Hiroshi Nishiura, Luís M A BettencourtStatistical Methods in Medical Research|October 25, 2025
Comparative study of Bayesian and frequentist methods for epidemic forecasting: Insights from simulated and historical dataHamed Karami, Ruiyan Luo, Pejman Sanaei, et al.Physics of Life Reviews|July 25, 2016
Mathematical models to characterize early epidemic growth: A reviewGerardo Chowell, Lisa Sattenspiel, Shweta Bansal, et al.BMC Infectious Diseases|July 25, 2016
Predicting the international spread of Middle East respiratory syndrome (MERS)Kyeongah Nah, Shiori Otsuki, Gerardo Chowell, et al.Journal of the Royal Society, Interface|July 3, 2009
The ideal reporting interval for an epidemic to objectively interpret the epidemiological time courseHiroshi Nishiura, Gerardo Chowell, Hans Heesterbeek, et al.Plos One|March 26, 2013
Skip the trip: air travelers' behavioral responses to pandemic influenzaEli P Fenichel, Nicolai V Kuminoff, Gerardo ChowellViruses|December 31, 2025
Nowcast-It: A Practical Toolbox for Real-Time Adjustment of Reporting Delays in Epidemic SurveillanceAmna Tariq, Ping Yan, Amanda Bleichrodt, et al.BMC Medical Informatics and Decision Making|October 15, 2025
BayesianFitForecast: a user-friendly R toolbox for parameter estimation and forecasting with ordinary differential equationsHamed Karami, Amanda Bleichrodt, Ruiyan Luo, et al.Plos One|April 9, 2013
A population based study of seasonality of skin and soft tissue infections: implications for the spread of CA-MRSAXiaoxia Wang, Sherry Towers, Sarada Panchanathan, et al.Epidemics|December 4, 2016
Using phenomenological models for forecasting the 2015 Ebola challengeBruce Pell, Yang Kuang, Cecile Viboud, et al.Pageof 30