Reconstructing unseen transmission events to infer dengue dynamics from viral sequences
Phylogeographic analyses can provide broad descriptions of the spread of pathogens between populations, but are limited by incomplete sampling. Here, the authors develop an inference framework that reconstructs sequential transmission events and use it to characterise dynamics of dengue in Thailand.
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Auteurs principaux: | Henrik Salje, Amy Wesolowski, Tyler S. Brown, Mathew V. Kiang, Irina Maljkovic Berry, Noemie Lefrancq, Stefan Fernandez, Richard G. Jarman, Kriangsak Ruchusatsawat, Sopon Iamsirithaworn, Warunee P. Vandepitte, Piyarat Suntarattiwong, Jonathan M. Read, Chonticha Klungthong, Butsaya Thaisomboonsuk, Kenth Engø-Monsen, Caroline Buckee, Simon Cauchemez, Derek A. T. Cummings |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/89bc5a9d4b81405fa1f72c1cf87add00 |
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