Phylodynamic Inference for Structured Epidemiological Models

PLoS Computational Biology

Volumn 10, Issue 4, 2014, Pages

  Rasmussen, David A ^a   Volz, Erik M ^b   Koelle, Katia ^a,c  

^a DUKE UNIVERSITY   (United States)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; HISTORY; MARKOV PROCESSES; MONTE CARLO METHODS; PATHOGENS; POPULATION STATISTICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; VIRUSES;

DEMOGRAPHIC MODELLING; DEMOGRAPHIC PARAMETERS; DYNAMIC PARAMETERS; EPIDEMIOLOGICAL MODELING; INFERENCE METHODS; POPULATION MODEL; POPULATION STRUCTURES; RNA VIRUS; SIMPLE++; STOCHASTICS;

POPULATION DYNAMICS;

ARTICLE; BAYES THEOREM; DISEASE COURSE; DISEASE TRANSMISSION; GENEALOGY; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MIGRATION; MONTE CARLO METHOD; NONLINEAR SYSTEM; POPULATION DYNAMICS; POPULATION STRUCTURE; PREVALENCE; PROBABILITY; SAMPLE SIZE; STOCHASTIC MODEL; ALGORITHM; EPIDEMIOLOGY; PHYLOGENY; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; BAYES THEOREM; EPIDEMIOLOGIC STUDIES; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; PHYLOGENY; STOCHASTIC PROCESSES;

EID: 84901339626     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003570     Document Type: Article

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