Reconstructing unseen transmission events to infer dengue dynamics from viral sequences

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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Detalles Bibliográficos
Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Science
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Acceso en línea:https://doaj.org/article/89bc5a9d4b81405fa1f72c1cf87add00
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Descripción
Sumario: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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