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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Nature Portfolio
2021
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oai:doaj.org-article:89bc5a9d4b81405fa1f72c1cf87add002021-12-02T13:24:12ZReconstructing unseen transmission events to infer dengue dynamics from viral sequences10.1038/s41467-021-21888-92041-1723https://doaj.org/article/89bc5a9d4b81405fa1f72c1cf87add002021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21888-9https://doaj.org/toc/2041-1723Phylogeographic 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.Henrik SaljeAmy WesolowskiTyler S. BrownMathew V. KiangIrina Maljkovic BerryNoemie LefrancqStefan FernandezRichard G. JarmanKriangsak RuchusatsawatSopon IamsirithawornWarunee P. VandepittePiyarat SuntarattiwongJonathan M. ReadChonticha KlungthongButsaya ThaisomboonsukKenth Engø-MonsenCaroline BuckeeSimon CauchemezDerek A. T. CummingsNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021) |
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Science Q |
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Science Q 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 Reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
description |
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. |
format |
article |
author |
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 |
author_facet |
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 |
author_sort |
Henrik Salje |
title |
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
title_short |
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
title_full |
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
title_fullStr |
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
title_full_unstemmed |
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
title_sort |
reconstructing unseen transmission events to infer dengue dynamics from viral sequences |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/89bc5a9d4b81405fa1f72c1cf87add00 |
work_keys_str_mv |
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