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Journal of the Royal Society, Interface|February 15, 2022
A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deathsEamon B O'Dea, John M DrakeTheoretical Ecology|September 23, 2021
Disentangling reporting and disease transmissionEamon B O'Dea, John M DrakeJournal of the Royal Society, Interface|June 29, 2018
Estimating the distance to an epidemic thresholdEamon B O'Dea, Andrew W Park, John M DrakeJournal of the Royal Society, Interface|September 16, 2020
Transient indicators of tipping points in infectious diseasesSuzanne M O'Regan, Eamon B O'Dea, Pejman Rohani, et al.Theoretical Biology & Medical Modelling|September 7, 2017
Forecasting infectious disease emergence subject to seasonal forcingPaige B Miller, Eamon B O'Dea, Pejman Rohani, et al.Scientific Reports|February 24, 2019
Eigenvalues of the covariance matrix as early warning signals for critical transitions in ecological systemsShiyang Chen, Eamon B O'Dea, John M Drake, et al.Journal of the Royal Society, Interface|November 1, 2016
Waiting time to infectious disease emergenceChristopher J Dibble, Eamon B O'Dea, Andrew W Park, et al.Plos Computational Biology|November 8, 2023
A data-driven semi-parametric model of SARS-CoV-2 transmission in the United StatesJohn M Drake, Andreas Handel, Éric Marty, et al.Journal of the Royal Society, Interface|August 3, 2022
Anticipating infectious disease re-emergence and elimination: a test of early warning signals using empirically based modelsAndrew T Tredennick, Eamon B O'Dea, Matthew J Ferrari, et al.Plos Computational Biology|June 9, 2018
Anticipating epidemic transitions with imperfect dataTobias S Brett, Eamon B O'Dea, Éric Marty, et al.Pageof 17