Nature Communications (Mar 2021)
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences
- 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
Affiliations
- Henrik Salje
- Department of Genetics, University of Cambridge
- Amy Wesolowski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- Tyler S. Brown
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
- Mathew V. Kiang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
- Irina Maljkovic Berry
- Viral Diseases Branch, Walter Reed Army Institute of Research
- Noemie Lefrancq
- Department of Genetics, University of Cambridge
- Stefan Fernandez
- Department of Virology, Armed Forces Research Institute of Medical Sciences
- Richard G. Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research
- Kriangsak Ruchusatsawat
- National Institute of Health, Department of Medical Sciences, Ministry of Public Health
- Sopon Iamsirithaworn
- Department of Disease Control, Ministry of Public Health
- Warunee P. Vandepitte
- Queen Sirikit National Institute of Child Health
- Piyarat Suntarattiwong
- Queen Sirikit National Institute of Child Health
- Jonathan M. Read
- Lancaster Medical School, Lancaster University
- Chonticha Klungthong
- Department of Virology, Armed Forces Research Institute of Medical Sciences
- Butsaya Thaisomboonsuk
- Department of Virology, Armed Forces Research Institute of Medical Sciences
- Kenth Engø-Monsen
- Telenor Research
- Caroline Buckee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
- Simon Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, CNRS
- Derek A. T. Cummings
- Department of Biology, University of Florida
- DOI
- https://doi.org/10.1038/s41467-021-21888-9
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 10
Abstract
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.
