Quantifying Transmission Heterogeneity Using Both Pathogen Phylogenies and Incidence Time Series

Heterogeneity in individual-level transmissibility can be quantified by the dispersion parameter k of the offspring distribution. Quantifying heterogeneity is important as it affects other parameter estimates, it modulates the degree of unpredictability of an epidemic, and it needs to be accounted f...

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Veröffentlicht in:	Molecular biology and evolution 2017-11, Vol.34 (11), p.2982-2995
Hauptverfasser:	Li, Lucy M, Grassly, Nicholas C, Fraser, Christophe
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Computer Simulation Disease Outbreaks - statistics & numerical data Disease Transmission, Infectious - statistics & numerical data Epidemics - statistics & numerical data Genetic Heterogeneity Humans Incidence Markov Chains Methods Monte Carlo Method Phylogeny Probability Uncertainty
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