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.
Guardado en:
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
|
Materias: | |
Acceso en línea: | https://doaj.org/article/89bc5a9d4b81405fa1f72c1cf87add00 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Low parasite connectivity among three malaria hotspots in Thailand
por: Hsiao-Han Chang, et al.
Publicado: (2021) -
Incorporating human mobility data improves forecasts of Dengue fever in Thailand
por: Mathew V. Kiang, et al.
Publicado: (2021) -
Entropy of radiation: the unseen side of light
por: Alfonso Delgado-Bonal
Publicado: (2017) -
Correlation between reported dengue illness history and seropositivity in rural Thailand.
por: Darunee Buddhari, et al.
Publicado: (2021) -
Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
por: Amy Wesolowski, et al.
Publicado: (2017)