Inferring epidemiological dynamics with Bayesian coalescent inference: The merits of deterministic and stochastic models

Genetics

Volumn 199, Issue 2, 2014, Pages 595-607

  Popinga, Alex ^a,b   Vaughan, Tim ^a,b,c   Stadler, Tanja ^d,e   Drummond, Alexei J ^a,b  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b Allan Wilson Centre for Molecular Ecology & Evolution   (New Zealand)

^c MASSEY UNIVERSITY   (New Zealand)

^d ETH ZURICH   (Switzerland)

^e SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

Author keywords

Bayesian inference; Coalescent; Epidemic; Phylodynamics; Stochastic

Indexed keywords

ARTICLE; EPIDEMIC; EPIDEMIOLOGICAL DATA; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; INFLUENZA A (H1N1); INFLUENZA VIRUS A H1N1; MATHEMATICAL MODEL; PHYLODYNAMICS; PHYLOGENY; POPULATION DYNAMICS; POPULATION SIZE; PRIORITY JOURNAL; STOCHASTIC MODEL; UNITED KINGDOM; ALGORITHM; BAYES THEOREM; CLASSIFICATION; COMPUTER SIMULATION; GENETICS; HEALTH SURVEY; HIV INFECTIONS; INFLUENZA A VIRUS (H1N1); INFLUENZA, HUMAN; MARKOV CHAIN; MOLECULAR EPIDEMIOLOGY; MONTE CARLO METHOD; POPULATION DENSITY; PROCEDURES; REPRODUCIBILITY; THEORETICAL MODEL;

HUMAN IMMUNODEFICIENCY VIRUS 1;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; HIV INFECTIONS; HIV-1; HUMANS; INFLUENZA A VIRUS, H1N1 SUBTYPE; INFLUENZA, HUMAN; MARKOV CHAINS; MODELS, THEORETICAL; MOLECULAR EPIDEMIOLOGY; MONTE CARLO METHOD; PHYLOGENY; POPULATION DENSITY; POPULATION SURVEILLANCE; REPRODUCIBILITY OF RESULTS;

EID: 84928918225     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.114.172791     Document Type: Article

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