Sub-spreading events limit the reliable elimination of heterogeneous epidemics

por Parag, Kris V.
Publicado 2021

Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves

por Parag, Kris V.
Publicado 2021

Risk averse reproduction numbers improve resurgence detection

por Parag, Kris V., Obolski, Uri
Publicado 2023

Point process analysis of noise in early invertebrate vision

por Parag, Kris V., Vinnicombe, Glenn
Publicado 2017

Using information theory to optimise epidemic models for real-time prediction and estimation

por Parag, Kris V., Donnelly, Christl A.
Publicado 2020

Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline Models

por Parag, Kris V, Donnelly, Christl A
Publicado 2020

Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers

por Parag, Kris V., Donnelly, Christl A.
Publicado 2022

Angular reproduction numbers improve estimates of transmissibility when disease generation times are misspecified or time-varying

por Parag, Kris V., Cowling, Benjamin J., Lambert, Ben C.
Publicado 2023

Jointly Inferring the Dynamics of Population Size and Sampling Intensity from Molecular Sequences

por Parag, Kris V, du Plessis, Louis, Pybus, Oliver G
Publicado 2020

Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scales

por Parag, Kris V., Cowling, Benjamin J., Donnelly, Christl A.
Publicado 2021

Are Skyline Plot-Based Demographic Estimates Overly Dependent on Smoothing Prior Assumptions?

por Parag, Kris V, Pybus, Oliver G, Wu, Chieh-Hsi
Publicado 2021

Are epidemic growth rates more informative than reproduction numbers?

por Parag, Kris V., Thompson, Robin N., Donnelly, Christl A.
Publicado 2022

Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data

por Inward, Rhys P. D., Parag, Kris V., Faria, Nuno R.
Publicado 2022

An exact method for quantifying the reliability of end-of-epidemic declarations in real time

por Parag, Kris V., Donnelly, Christl A., Jha, Rahul, Thompson, Robin N.
Publicado 2020

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

por Stolerman, Lucas M., Clemente, Leonardo, Poirier, Canelle, Parag, Kris V., Majumder, Atreyee, Masyn, Serge, Resch, Bernd, Santillana, Mauricio
Publicado 2023

Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates

por Inward, Rhys P.D., Jackson, Felix, Dasgupta, Abhishek, Lee, Graham, Battle, Anya Lindström, Parag, Kris V., Kraemer, Moritz U.G.
Publicado 2022

Seasonal dynamics of the wild rodent faecal virome

por Raghwani, Jayna, Faust, Christina L., François, Sarah, Nguyen, Dung, Marsh, Kirsty, Raulo, Aura, Hill, Sarah C., Parag, Kris V., Simmonds, Peter, Knowles, Sarah C. L., Pybus, Oliver G.
Publicado 2022

Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India

por Raghwani, Jayna, du Plessis, Louis, McCrone, John T., Hill, Sarah C., Parag, Kris V., Thézé, Julien, Kumar, Dinesh, Puvar, Apurva, Pandit, Ramesh, Pybus, Oliver G., Fournié, Guillaume, Joshi, Madhvi, Joshi, Chaitanya
Publicado 2022

Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis

por Mee, Paul, Alexander, Neal, Mayaud, Philippe, González, Felipe de Jesus Colón, Abbott, Sam, Santos, Andreza Aruska de Souza, Acosta, André Luís, Parag, Kris V., Pereira, Rafael H.M., Prete, Carlos A., Sabino, Ester C., Faria, Nuno R., Brady, Oliver J
Publicado 2021

Comparative micro-epidemiology of pathogenic avian influenza virus outbreaks in a wild bird population

por Hill, Sarah C., Hansen, Rowena, Watson, Samantha, Coward, Vivien, Russell, Christine, Cooper, Jayne, Essen, Steve, Everest, Holly, Parag, Kris V., Fiddaman, Steven, Reid, Scott, Lewis, Nicola, Brookes, Sharon M., Smith, Adrian L., Sheldon, Ben, Perrins, Christopher M., Brown, Ian H., Pybus, Oliver G.
Publicado 2019