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Bayesian inference of transmission chains using timing of symptoms, pathogen genomes and contact data
There exists significant interest in developing statistical and computational tools for inferring ‘who infected whom’ in an infectious disease outbreak from densely sampled case data, with most recent studies focusing on the analysis of whole genome sequence data. However, genomic data can be poorly...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6457559/ https://ncbi.nlm.nih.gov/pubmed/30925168 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006930 |
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