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V Parag

Showing results (11-20 of 58) with videos related to

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Plos Computational Biology|July 2, 2020
Using information theory to optimise epidemic models for real-time prediction and estimationKris V Parag, Christl A Donnelly
Plos Computational Biology|April 11, 2022
Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbersKris V Parag, Christl A Donnelly
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
The Cochrane Database of Systematic Reviews|July 20, 2007
Pentoxifylline for treating venous leg ulcersA Jull, B Arroll, V Parag, et al.
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.
Systematic Biology|May 14, 2021
Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?Kris V Parag, Oliver G Pybus, Chieh-Hsi Wu
Molecular 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 Pybus
Pageof 6

Showing results (11-20 of 58) with videos related to

Sort By:
Pageof 6
Plos Computational Biology|July 2, 2020
Using information theory to optimise epidemic models for real-time prediction and estimationKris V Parag, Christl A Donnelly
Plos Computational Biology|April 11, 2022
Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbersKris V Parag, Christl A Donnelly
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
The Cochrane Database of Systematic Reviews|July 20, 2007
Pentoxifylline for treating venous leg ulcersA Jull, B Arroll, V Parag, et al.
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.
Systematic Biology|May 14, 2021
Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?Kris V Parag, Oliver G Pybus, Chieh-Hsi Wu
Molecular 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 Pybus
Pageof 6