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Journal of the Royal Society, Interface|July 24, 2024
Host behaviour driven by awareness of infection risk amplifies the chance of superspreading eventsKris V Parag, Robin N Thompson
Journal of Theoretical Biology|April 8, 2017
Optimal point process filtering and estimation of the coalescent processKris V Parag, Oliver G Pybus
Systematic Biology|February 7, 2019
Robust Design for Coalescent Model InferenceKris V Parag, Oliver G Pybus
Systematic Biology|April 26, 2020
Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline ModelsKris V Parag, Christl A Donnelly
Bioinformatics (Oxford, England)|May 3, 2018
Exact Bayesian inference for phylogenetic birth-death modelsKris V Parag, Oliver G Pybus
Plos Computational Biology|July 2, 2020
Using information theory to optimise epidemic models for real-time prediction and estimationKris V Parag, Christl A Donnelly
Nature Computational Science|January 4, 2024
Quantifying the information in noisy epidemic curvesKris V Parag, Christl A Donnelly, Alexander E Zarebski
Proceedings. Biological Sciences|September 27, 2023
Angular reproduction numbers improve estimates of transmissibility when disease generation times are misspecified or time-varyingKris V Parag, Benjamin J Cowling, Ben C Lambert
Communications Physics|May 28, 2026
The <i>R</i> = 1 threshold can misclassify epidemic stabilityKris V Parag, Mauricio Santillana, Anne Cori, et al.
Journal of the Royal Society, Interface|December 15, 2021
Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scalesKris V Parag, Benjamin J Cowling, Christl A Donnelly
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