Reconstructing transmission trees for communicable diseases using densely sampled genetic data

DOI10.1214/15-AOAS898zbMath1358.62110arXiv1401.1749WikidataQ31067950 ScholiaQ31067950MaRDI QIDQ288603

Julie V. Robotham, Sharon J. Peacock, Ben S. Cooper, Daniela De Angelis, Colin J. Worby, Edward J. P. Cartwright, Theodore Kypraios, Philip D. O'Neill

Publication date: 27 May 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.1749

zbMATH Keywords

epidemicsBayesian inferenceinfectious diseaseMarkov chain Monte Carlo algorithmtransmission routesoutbreak investigation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical epidemiology (92C60)

Related Items (5)

Reconstructing transmission trees for communicable diseases using densely sampled genetic data ⋮ Evidence synthesis for stochastic epidemic models ⋮ Estimating transmission from genetic and epidemiological data: a metric to compare transmission trees ⋮ Multi-type branching processes modeling of nosocomial epidemics ⋮ Bayesian inference for multistrain epidemics with application to \textit{Escherichia coli} O157:H7 in feedlot cattle

Uses Software

• seedy

Cites Work

• Reconstructing transmission trees for communicable diseases using densely sampled genetic data
• On the number of segregating sites in genetical models without recombination
• ROC Curves for Continuous Data
• The Calculation of Posterior Distributions by Data Augmentation

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