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Journal of the Royal Statistical Society. Series A, (Statistics in Society)|August 9, 2022
Are epidemic growth rates more informative than reproduction numbers?Kris V Parag, Robin N Thompson, Christl A DonnellySystematic Biology|May 14, 2021
Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?Kris V Parag, Oliver G Pybus, Chieh-Hsi WuMolecular Biology and Evolution|February 1, 2020
Jointly Inferring the Dynamics of Population Size and Sampling Intensity from Molecular SequencesKris V Parag, Louis du Plessis, Oliver G PybusNature Communications|September 23, 2022
Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing dataRhys P D Inward, Kris V Parag, Nuno R FariaStatistics in Medicine|August 7, 2025
A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte CarloNicholas Steyn, Kris V Parag, Robin N Thompson, et al.Plos Computational Biology|November 30, 2020
An exact method for quantifying the reliability of end-of-epidemic declarations in real timeKris V Parag, Christl A Donnelly, Rahul Jha, et al.Plos Computational Biology|January 21, 2026
Measuring real-time disease transmissibility with temperature-dependent generation intervalsEsther Li Wen Choo, Kris V Parag, Jo Yi Chow, et al.Journal of Theoretical Biology|November 15, 2022
A Bayesian nonparametric method for detecting rapid changes in disease transmissionRichard Creswell, Martin Robinson, David Gavaghan, et al.American Journal of Epidemiology|July 8, 2026
A decision-theoretic framework for uncertainty quantification in epidemiological modellingNicholas Steyn, Cathal Mills, Vik Shirvaikar, et al.Epidemiology (Cambridge, Mass.)|February 1, 2023
Accounting for the Potential of Overdispersion in Estimation of the Time-varying Reproduction NumberFaith Ho, Kris V Parag, Dillon C Adam, et al.Pageof 5