David Welch
David Welch
Senior Lecturer, Computational Evolution Group, Dept of Computer Science, University of Auckland
Verified email at - Homepage
Cited by
Cited by
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
T Toni, D Welch, N Strelkowa, A Ipsen, MPH Stumpf
Journal of the Royal Society Interface 6 (31), 187-202, 2009
Bayesian inference of sampled ancestor trees for epidemiology and fossil calibration
A Gavryushkina, D Welch, T Stadler, AJ Drummond
PLoS computational biology 10 (12), e1003919, 2014
Bayesian total-evidence dating reveals the recent crown radiation of penguins
A Gavryushkina, TA Heath, DT Ksepka, T Stadler, D Welch, AJ Drummond
Systematic biology 66 (1), 57-73, 2017
From words to dates: water into wine, mathemagic or phylogenetic inference?
Q Atkinson, G Nicholls, D Welch, R Gray
Transactions of the Philological Society 103 (2), 193-219, 2005
Efficient Bayesian inference under the structured coalescent
TG Vaughan, D Kühnert, A Popinga, D Welch, AJ Drummond
Bioinformatics 30 (16), 2272-2279, 2014
Genomic epidemiology reveals transmission patterns and dynamics of SARS-CoV-2 in Aotearoa New Zealand
JL Geoghegan, X Ren, M Storey, J Hadfield, L Jelley, S Jefferies, ...
Nature communications 11 (1), 6351, 2020
Bayesian inference for contact networks given epidemic data
C Groendyke, D Welch, DR Hunter
Scandinavian Journal of Statistics 38 (3), 600-616, 2011
Statistical inference to advance network models in epidemiology
D Welch, S Bansal, DR Hunter
Epidemics 3 (1), 38-45, 2011
A network‐based analysis of the 1861 Hagelloch measles data
C Groendyke, D Welch, DR Hunter
Biometrics 68 (3), 755-765, 2012
Genomic Evidence of In-Flight Transmission of SARS-CoV-2 Despite Predeparture Testing
T Swadi, JL Geoghegan, T Devine, C McElnay, J Sherwood, P Shoemack, ...
Emerging Infectious Diseases 27 (3), 2021
Protocols for sampling viral sequences to study epidemic dynamics
JC Stack, JD Welch, MJ Ferrari, BU Shapiro, BT Grenfell
Journal of the Royal Society Interface 7 (48), 1119-1127, 2010
Estimating Epidemic Incidence and Prevalence from Genomic Data
TG Vaughan, GE Leventhal, DA Rasmussen, AJ Drummond, D Welch, ...
Molecular Biology and Evolution, 2019
Inferring ancestral recombination graphs from bacterial genomic data
TG Vaughan, D Welch, AJ Drummond, PJ Biggs, T George, NP French
Genetics 205 (2), 857-870, 2017
Use of genomics to track coronavirus disease outbreaks, New Zealand
JL Geoghegan, J Douglas, X Ren, M Storey, J Hadfield, OK Silander, ...
Emerging infectious diseases 27 (5), 1317, 2021
Real-time genomics for tracking severe acute respiratory syndrome coronavirus 2 border incursions after virus elimination, New Zealand
J Douglas, JL Geoghegan, J Hadfield, R Bouckaert, M Storey, X Ren, ...
Emerging infectious diseases 27 (9), 2361, 2021
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations
J Douglas, FK Mendes, R Bouckaert, D Xie, CL Jiménez-Silva, ...
Virus evolution 7 (2), veab052, 2021
Integrating genealogy and epidemiology: the ancestral infection and selection graph as a model for reconstructing host virus histories
D Welch, GK Nicholls, A Rodrigo, W Solomon
Theoretical population biology 68 (1), 65-75, 2005
Demographic inference under the coalescent in a spatial continuum
S Guindon, H Guo, D Welch
Theoretical population biology 111, 43-50, 2016
Is network clustering detectable in transmission trees?
D Welch
Viruses 3 (6), 659-676, 2011
epinet: An R Package to Analyze Epidemics Spread across Contact Networks
C Groendyke, D Welch
Journal of Statistical Software 83 (11), 1-22, 2018
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