Combining genomics and epidemiology to analyse bi-directional transmission of in a multi-host system.

Clicks: 517
ID: 74613
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #5 of 128 articles by views in eLife

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 128 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Quantifying pathogen transmission in multi-host systems is difficult, as exemplified in bovine tuberculosis (bTB) systems, but is crucial for control. The agent of bTB, , persists in cattle populations worldwide, often where potential wildlife reservoirs exist. However, the relative contribution of different host species to bTB persistence is generally unknown. In Britain, the role of badgers in infection persistence in cattle is highly contentious, despite decades of research and control efforts. We applied Bayesian phylogenetic and machine-learning approaches to bacterial genome data to quantify the roles of badgers and cattle in infection dynamics in the presence of data biases. Our results suggest that transmission occurs more frequently from badgers to cattle than (10.4x in the most likely model) and that within-species transmission occurs at higher rates than between-species transmission for both. If representative, our results suggest that control operations should target both cattle and badgers.
Reference Key
crispell2019combiningelife Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Crispell, Joseph;Benton, Clare H;Balaz, Daniel;De Maio, Nicola;Ahkmetova, Assel;Allen, Adrian;Biek, Roman;Presho, Eleanor L;Dale, James;Hewinson, Glyn;Lycett, Samantha J;Nunez-Garcia, Javier;Skuce, Robin A;Trewby, Hannah;Wilson, Daniel J;Zadoks, Ruth N;Delahay, Richard J;Kao, Rowland Raymond;
Journal eLife
Year 2019
DOI
10.7554/eLife.45833
URL
Keywords
Microbiology Epidemiology global health cattle whole genome sequencing infectious disease mycobacterium bovis bovine tuberculosis badger

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.