activity
20102019
most citedPrediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses

265 citations · 600 across the 13 of their papers we have counts for

collaborators

14 papers

q-bio.PE2019

Fitting stochastic epidemic models to gene genealogies using linear noise approximation

Mingwei Tang, Gytis Dudas, Trevor Bedford +1

Phylodynamics is a set of population genetics tools that aim at reconstructing demographic history of a population based on molecular sequences of individuals sampled from the popu…

q-bio.PE2016

Explaining the geographic origins of seasonal influenza A (H3N2)

Frank Wen, Trevor Bedford, Sarah Cobey

Most antigenically novel and evolutionarily successful strains of seasonal influenza A (H3N2) originate in East, South, and Southeast Asia. To understand this pattern, we simulated…

q-bio.PE2015★ 265 cited

Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses

Richard A. Neher, Trevor Bedford, Rodney S. Daniels +2

Human seasonal influenza viruses evolve rapidly, enabling the virus population to evade immunity and re-infect previously infected individuals. Antigenic properties are largely det…

stat.ME2015★ 79 cited

Quantifying and mitigating the effect of preferential sampling on phylodynamic inference

Michael D. Karcher, Julia A. Palacios, Trevor Bedford +2

Phylodynamics seeks to estimate effective population size fluctuations from molecular sequences of individuals sampled from a population of interest. One way to accomplish this tas…

q-bio.PE2014

Epidemiological and evolutionary analysis of the 2014 Ebola virus outbreak

Marta Łuksza, Trevor Bedford, Michael Lässig

The 2014 epidemic of the Ebola virus is governed by a genetically diverse viral population. In the early Sierra Leone outbreak, a recent study has identified new mutations that gen…

q-bio.PE2014★ 11 cited

Seasonality in the migration and establishment of H3N2 Influenza lineages with epidemic growth and decline

Daniel Zinder, Trevor Bedford, Edward B. Baskerville +3

Background: Influenza A/H3N2 has been circulating in humans since 1968, causing considerable morbidity and mortality. Although H3N2 incidence is highly seasonal, how such seasonali…

q-bio.PE2014★ 40 cited

Assessing phenotypic correlation through the multivariate phylogenetic latent liability model

Gabriela B. Cybis, Janet S. Sinsheimer, Trevor Bedford +3

Understanding which phenotypic traits are consistently correlated throughout evolution is a highly pertinent problem in modern evolutionary biology. Here, we propose a multivariate…

q-bio.PE2014★ 85 cited

Identifying the genetic basis of antigenic change in influenza A(H1N1)

William T. Harvey, Victoria Gregory, Donald J. Benton +7

Determining phenotype from genetic data is a fundamental challenge. Influenza A viruses undergo rapid antigenic drift and identification of emerging antigenic variants is critical…

q-bio.PE2014

Quantifying evolutionary constraints on B cell affinity maturation

Connor O. McCoy, Trevor Bedford, Vladimir N. Minin +3

The antibody repertoire of each individual is continuously updated by the evolutionary process of B cell receptor mutation and selection. It has recently become possible to gain de…

q-bio.QM2013★ 3 cited

Nonparametric Bayesian grouping methods for spatial time-series data

Edward B. Baskerville, Trevor Bedford, Robert C. Reiner +1

We describe an approach for identifying groups of dynamically similar locations in spatial time-series data based on a simple Markov transition model. We give maximum-likelihood, e…

q-bio.PE2013★ 1 cited

Integrating influenza antigenic dynamics with molecular evolution

Trevor Bedford, Marc A. Suchard, Philippe Lemey +7

Influenza viruses undergo continual antigenic evolution allowing mutant viruses to evade host immunity acquired to previous virus strains. Antigenic phenotype is often assessed thr…

q-bio.PE2012★ 8 cited

The seasonal flight of influenza: a unified framework for spatiotemporal hypothesis testing

Philippe Lemey, Andrew Rambaut, Trevor Bedford +8

Global mobility flow data are at the heart of spatial epidemiological models used to predict infectious disease behavior but this wealth of data on human mobility has been largely…

q-bio.PE2011

Canalization of the evolutionary trajectory of the human influenza virus

Trevor Bedford, Andrew Rambaut, Mercedes Pascual

Since its emergence in 1968, influenza A (H3N2) has evolved extensively in genotype and antigenic phenotype. Antigenic evolution occurs in the context of a two-dimensional 'antigen…

q-bio.PE2010★ 108 cited

Spatial Guilds in the Serengeti Food Web Revealed by a Bayesian Group Model

Edward B. Baskerville, Andy P. Dobson, Trevor Bedford +2

Food webs, networks of feeding relationships among organisms, provide fundamental insights into mechanisms that determine ecosystem stability and persistence. Despite long-standing…