Patterns of mortality in domesticated ruminants in Ethiopia

Autor: Giles T. Innocent, Ciara Vance, David A. Ewing, Iain J. McKendrick, Solomon Hailemariam, Veronica R. Nwankpa, Fiona K. Allan, Christian Schnier, Andrew R. Peters

Publikováno v: Frontiers in Veterinary Science, Vol 9 (2022)

BackgroundPremature death of livestock is a problem in all ruminant production systems. While the number of premature ruminant deaths in a country is a reasonable indicator for the nation's health, few data sources exist in a country like Ethiopia th

Externí odkaz: https://doaj.org/article/4932e34b8d07450bbd072a45df884c11

A Tool for Prioritizing Livestock Disease Threats to Scotland

Autor: Paul R. Bessell, Harriet K. Auty, Helen Roberts, Iain J. McKendrick, B. Mark de C. Bronsvoort, Lisa A. Boden

Publikováno v: Frontiers in Veterinary Science, Vol 7 (2020)

There are a number of disease threats to the livestock of Scotland that are not presently believed to be circulating in the UK. Here, we present the development of a tool for prioritizing resources for livestock disease threats to Scotland by combini

Externí odkaz: https://doaj.org/article/071b198ca9624f66b0d5ae7513369f56

A statistical framework for calculating prospective sample sizes and classifying efficacy results for faecal egg count reduction tests in ruminants, horses and swine

Autor: Matthew J, Denwood, Ray M, Kaplan, Iain J, McKendrick, Stig M, Thamsborg, Martin K, Nielsen, Bruno, Levecke

Publikováno v: Denwood, M J, Kaplan, R M, McKendrick, I J, Thamsborg, S M, Nielsen, M K & Levecke, B 2023, ' A statistical framework for calculating prospective sample sizes and classifying efficacy results for faecal egg count reduction tests in ruminants, horses and swine ', Veterinary Parasitology, vol. 314, 109867 . https://doi.org/10.1016/j.vetpar.2022.109867
VETERINARY PARASITOLOGY

The faecal egg count reduction test (FECRT) is the primary diagnostic tool used for detecting anthelmintic resistance at the farm level. It is therefore extremely important that the experimental design of a FECRT and the susceptibility classification

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a1fef66eb35f0112099f0af63326e7
https://curis.ku.dk/portal/da/publications/a-statistical-framework-for-calculating-prospective-sample-sizes-and-classifying-efficacy-results-for-faecal-egg-count-reduction-tests-in-ruminants-horses-and-swine(3428f914-7aa6-4366-ab1f-a50239754d81).html

Animal Health Surveillance in Scotland in 2030: Using Scenario Planning to Develop Strategies in the Context of 'Brexit'

Autor: Lisa A. Boden, Harriet Auty, Aaron Reeves, Gustaf Rydevik, Paul Bessell, Iain J. McKendrick

Publikováno v: Frontiers in Veterinary Science, Vol 4 (2017)

Animal health surveillance is necessary to protect human and animal health, rural economies, and the environment from the consequences of large-scale disease outbreaks. In Scotland, since the Kinnaird review in 2011, efforts have been made to engage

Externí odkaz: https://doaj.org/article/0d11a83ff4674b54984b598ef9019c88

FAIR data pipeline: provenance-driven data management for traceable scientific workflows

Autor: Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings, Jonathan Hollocombe, Bram Boskamp, Ryan Field, Dennis Reddyhoff, Kristian Zarebski, Antony Wilson, Bruno Viola, Martin Burke, Blair Archibald, Paul Bessell, Richard Blackwell, Lisa A. Boden, Alys Brett, Sam Brett, Ruth Dundas, Jessica Enright, Alejandra N. Gonzalez-Beltran, Claire Harris, Ian Hinder, Christopher David Hughes, Martin Knight, Vino Mano, Ciaran McMonagle, Dominic Mellor, Sibylle Mohr, Glenn Marion, Louise Matthews, Iain J. McKendrick, Christopher Mark Pooley, Thibaud Porphyre, Aaron Reeves, Edward Townsend, Robert Turner, Jeremy Walton, Richard Reeve

Publikováno v: Mitchell, S N, Lahiff, A, Cummings, N, Hollocombe, J, Boskamp, B, Field, R, Reddyhoff, D, Zarebski, K, Wilson, A, Viola, B, Burke, M, Archibald, B, Bessell, P, Blackwell, R, Boden, L A, Brett, A, Brett, S, Dundas, R, Enright, J, Gonzalez-Beltran, A N, Harris, C, Hinder, I, David Hughes, C, Knight, M, Mano, V, McMonagle, C, Mellor, D, Mohr, S, Marion, G, Matthews, L, McKendrick, I J, Mark Pooley, C, Porphyre, T, Reeves, A, Townsend, E, Turner, R, Walton, J & Reeve, R 2022, ' FAIR data pipeline : provenance-driven data management for traceable scientific workflows ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210300 . https://doi.org/10.1098/rsta.2021.0300
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022, 380 (2233), ⟨10.1098/rsta.2021.0300⟩

Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changing during a disease outbreak, are particularly challenging. Data manage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a702da9a11b8817950011b5202a3cd
https://doi.org/10.1098/rsta.2021.0300