Transmission analysis of a large TB outbreak in London: a mathematical modelling study using genomic data
Xu, Y; Stockdale, JE; Naidu, V; Hatherell, H; Stimson, J; Stagg, HR
; Abubakar, I and Colijn, C
(2020).
Transmission analysis of a large TB outbreak in London: a mathematical modelling study using genomic data.
[Dataset].
Figshare.
https://doi.org/10.6084/m9.figshare.12413012.v1
Supplementary Material and Supporting Data for ‘Transmission analysis of a large TB outbreak in London: a mathematical modelling study using genomic data’ as published in Microbial Genomics. The phylogenetic tree-building software beast2 (version 2.6.1) was used to build timed phylogenetic trees. The beast xml file is provided here, along with the H37Rv NC000962.3 reference genome.
Keywords
Genomic epidemiology; Infectious disease; Modelling; Machine learning; Tuberculosis; TB; Genomics| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Experiment: Laboratory |
| Date | 18 September 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Xu, Y; Stockdale, JE; Naidu, V; Hatherell, H; Stimson, J; Stagg, HR |
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Participating Institutions | Imperial College London, London, United Kingdom; Simon Fraser University, Burnaby, Canada; University College London, London, United Kingdom; Public Health England, London, United Kingdom; University of Edinburgh, Edinburgh, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI UNSPECIFIED EP/K026003/1 http://dx.doi.org/10.13039/501100000266 UNSPECIFIED EP/N014529/1 http://dx.doi.org/10.13039/501100000266 EPSRC PhD studentship UNSPECIFIED http://dx.doi.org/10.13039/501100000266 Canada 150 Research Chairs UNSPECIFIED http://dx.doi.org/10.13039/501100000023 |
| Date Deposited | 19 Jan 2023 16:42 |
| Last Modified | 19 Jan 2023 16:42 |
| Publisher | Figshare |
ORCID: https://orcid.org/0000-0003-4022-3447