Phylodynamic inference for structured epidemiological models.
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Infectious disease transmission and contact networks in wildlife and livestockHow well can the exponential-growth coalescent approximate constant-rate birth-death population dynamics?Sampling through time and phylodynamic inference with coalescent and birth-death modelsData-Driven Models of Foot-and-Mouth Disease Dynamics: A Review.HIV competition dynamics over sexual networks: first comer advantage conserves founder effects.Tackling Drug Resistant Infection Outbreaks of Global Pandemic Escherichia coli ST131 Using Evolutionary and Epidemiological Genomics.Epidemiologic data and pathogen genome sequences: a powerful synergy for public health.Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data.Phylodynamic Inference across Epidemic Scales.Eight challenges in phylodynamic inference.Inferring epidemiological dynamics with Bayesian coalescent inference: the merits of deterministic and stochastic models.Reassessment of HIV-1 acute phase infectivity: accounting for heterogeneity and study design with simulated cohortsPhylodynamic analysis of ebola virus in the 2014 sierra leone epidemic.New Routes to Phylogeography: A Bayesian Structured Coalescent ApproximationPhylodynamic Inference with Kernel ABC and Its Application to HIV Epidemiology.Molecular Infectious Disease Epidemiology: Survival Analysis and Algorithms Linking Phylogenies to Transmission TreesSCOTTI: Efficient Reconstruction of Transmission within Outbreaks with the Structured CoalescentInferring epidemiological parameters from phylogenies using regression-ABC: A comparative study.Phylodynamics on local sexual contact networks.Reconstructing contact network parameters from viral phylogenies.Genomic analysis of emerging pathogens: methods, application and future trends.Effects of memory on the shapes of simple outbreak trees.Molecular Approaches to Understanding Transmission and Source Attribution in Nontyphoidal Salmonella and Their Application in Africa.Impacts and shortcomings of genetic clustering methods for infectious disease outbreaks.Mapping Phylogenetic Trees to Reveal Distinct Patterns of Evolution.Biased phylodynamic inferences from analysing clusters of viral sequences.Quantifying Transmission Heterogeneity Using Both Pathogen Phylogenies and Incidence Time Series.Identifying spatio-temporal dynamics of Ebola in Sierra Leone using virus genomes.MERS-CoV spillover at the camel-human interface.Novel analytic tools for the study of porcine reproductive and respiratory syndrome virus (PRRSv) in endemic settings: lessons learned in the U.S.Phylodynamic applications in 21st century global infectious disease research.
P2860
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P2860
Phylodynamic inference for structured epidemiological models.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Phylodynamic inference for structured epidemiological models.
@ast
Phylodynamic inference for structured epidemiological models.
@en
type
label
Phylodynamic inference for structured epidemiological models.
@ast
Phylodynamic inference for structured epidemiological models.
@en
prefLabel
Phylodynamic inference for structured epidemiological models.
@ast
Phylodynamic inference for structured epidemiological models.
@en
P2860
P1476
Phylodynamic inference for structured epidemiological models.
@en
P2093
David A Rasmussen
Katia Koelle
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003570
P50
P577
2014-04-17T00:00:00Z